-Titulo Original : Mastering Ansible Automate Configuration Management And Overcome Deployment Challenges With Ansible, 4th Edition-Fabricante : Packt Publishing-Descripcion Original: Design, develop, and solve real-world automation and orchestration problems by unlocking Ansibles automation capabilities Key Features Completely revised and updated for Ansible 4.0 and beyond Tackle complex automation challenges with the newly added features in Ansible Learn about the rapidly expanding field of network automation using Ansible, with the help of practical examples for configuring network devices Book Description Ansible is a modern, YAML-based automation tool (built on top of Python, one of the world’s most popular programming languages) with a massive and ever-growing user base. Its popularity and Python underpinnings make it essential learning for all in the DevOps space. This fourth edition of Mastering Ansible provides complete coverage of Ansible automation, from the design and architecture of the tool and basic automation with playbooks to writing and debugging your own Python-based extensions. Youll learn how to build automation workflows with Ansible’s extensive built-in library of collections, modules, and plugins. Youll then look at extending the modules and plugins with Python-based code and even build your own collections - ultimately learning how to give back to the Ansible community. By the end of this Ansible book, youll be confident in all aspects of Ansible automation, from the fundamentals of playbook design to getting under the hood and extending and adapting Ansible to solve new automation challenges. What you will learn Gain an in-depth understanding of how Ansible works under the hood Get to grips with Ansible collections and how they are changing and shaping the future of Ansible Fully automate the Ansible playbook executions with encrypted data Use blocks to construct failure recovery or cleanup Explore the playbook debugger and Ansible console Troubleshoot unexpected behavior effectively Work with cloud infrastructure providers and container systems Who this book is for If you are an Ansible developer or operator who has a detailed understanding of its core elements and applications but are now looking to enhance your skills in applying automation using Ansible, this book is for you. Prior experience working with core system administration tasks on Linux and basic familiarity with concepts such as cloud computing, containers, network devices, and fundamentals of a high-level programming language will help you make the most of this book. Table of Contents System Architecture and Design of Ansible Migrating from Earlier Ansible Versions Protecting Your Secrets with Ansible Ansible and Windows - Not just for Linux Infrastructure management for Enterprises with AWX Unlocking the Power of Jinja2 Templates Controlling Task Conditions Composing Reusable Ansible Content with Roles Troubleshooting Ansible Extending Ansible Minimizing Downtime with Rolling Deployments Infrastructure Provisioning Network Automation About the Author James Freeman is an accomplished IT consultant with over 20 years experience in the technology industry. He has more than 8 years of first-hand experience of solving real-world enterprise problems in production environments using Ansible, frequently introducing Ansible as a new technology to businesses and CTOs for the first time. In addition, he has authored and facilitated bespoke Ansible workshops and training sessions, and has presented at both international conferences and meetups on Ansible Jesse Keating is an accomplished Ansible user, contributor, and presenter. He has been an active member of the Linux and open source community for over 15 years. He has firsthand experience involving a variety of IT activities, software development, and large-scale system administration. He has presented at numerous conferences and meetups, and has written many articles on a variety of topics...

-Titulo Original : Netsuite For Consultants A Handbook For Erp And Crm Consultants To Implement Netsuite 2021 Quickly And Easily-Fabricante : Packt Publishing-Descripcion Original: Get hands-on with NetSuite implementation, customization, and integration services for automating operations and accelerating business growth Key Features Understand how to take a new client from the kickoff meeting through to their go live and beyond in the fastest possible time Explore the new innovations in NetSuite 2021 and leading practices for ERP and CRM consultants Avoid the common pitfalls that consultants can run into when implementing NetSuite Book Description Used by thousands of organizations worldwide, NetSuites customer and financial management solutions expedite daily financial transactions, accelerate the financial close, ensure compliance, and so much more. With companies around the world choosing to run their business on this cloud-based SaaS solution, the demand for NetSuite professionals is ever increasing. This book takes a hands-on approach to help you grasp the implementation and associated methodologies in no time. Youll start by exploring what NetSuite is, how it works, and how accounts, support, and updates work within its ecosystem. Understanding a business requirements is a critical first step toward completing any software product implementation, so youll learn how to write business requirements by learning about the various departments, roles, and processes in the clients organization. Once youve developed a solid understanding of NetSuite and your client, you can apply your knowledge to configure accounts and test everything with the users. Finally, youll get to grips with managing both functional and technical issues that arise post-implementation and learn how to handle them like a professional. By the end of this book, youll have gained the knowledge necessary to implement NetSuite for businesses and get things up and running in the shortest possible time. What you will learn Understand the NetSuite ecosystem, including its main modules, the platform, and related features Explore the fundamentals of NetSuite and get ready to implement it in any organization Discover how to manage gaps, data migration, and integrations with NetSuite Find out how to minimize disruptions in finance as you migrate to NetSuite Understand the steps to configure your organizations account and how development and testing fit into the implementation schedule Refine your skills with NetSuite tips and tricks and make each implementation process a success Who this book is for This book is for consultants (or any NetSuite users) tasked with bringing an organization live on NetSuite. Basic NetSuite training and a general understanding of its features is required to get the most out of this book. Table of Contents Introduction to the NetSuite Ecosystem, Platform, and Related Features Selecting and Applying an Implementation Methodology Creating a Project Plan Documenting the Organizations Requirements Analyzing the Organizations Users and Roles Understanding the Organizations Accounting and Finance Getting to Know the Organizations Customers, Other Entities, and Items Identifying the Organizations Main Transactions Custom Forms, Records, and Fields Centers and Dashboards Items and Related Lists Customers, Vendors, Contacts and Other Entities Financial Transactions and Period Closes Procure-to-Pay Transactions Order-to-Cash Transactions Other Transactions and Custom Transactions Analytics, Reports, and Data Exports Managing Gaps and Creating Custom Automations Managing Integrations Managing Data Migrations About the Author Peter Ries is currently employed as a consulting technical director at Oracle NetSuite. He has been providing high-quality consulting for innovative software solutions for many years.He enjoys solving problems, developing new software tools, and integrating applications to make his clients businesses run on NetSuite. He works with all sorts of up-to-date technologies and loves the fact that he can continue to do so. When he is not working, he likes...

-Titulo Original : Solutions Architects Handbook Kick-start Your Career As A Solutions Architect By Learning Architecture Design Principles And Strategies, 2nd Edition-Fabricante : Packt Publishing-Descripcion Original: From fundamentals and design patterns to the different strategies for creating secure and reliable architectures in AWS cloud, learn everything you need to become a successful solutions architect Key Features Transform business requirements into end-to-end technical architectures with this practical guide Assess and overcome the various challenges while updating or modernizing legacy applications Learn how to future-proof your architecture with IoT, machine learning, and quantum computing Book Description Solutions Architects Handbook, Second Edition, takes a hands-on approach to helping you become a solutions architect. You will learn how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. This will help you build effective product strategies for your business and implement them from start to finish. The new edition incorporates new chapters on disruptive technologies, such Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. This book provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this book, youll have learned techniques that enable you to create efficient architecture designs that meet your business requirements. What you will learn Explore the various roles of a solutions architect in the enterprise landscape Implement key design principles and patterns to build high-performance, cost-effective solutions Choose appropriate strategies to secure your architectures and increase their availability Modernize legacy applications with the help of cloud integration Understand big data processing, machine learning, IoT, and quantum computing, and how they fit into modern architecture Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders working in the information technology industry who aspire to become solutions architect professionals. It will also be useful for existing solutions architects who want to broaden their skillset and learn about new technologies. A good understanding of the real-world software development process and general programming experience with any language will be useful. Table of Contents The Meaning of Solution Architecture Solution Architects in an Organization Attributes of the Solution Architecture Principles of Solution Architecture Design Cloud Migration and Hybrid Cloud Architecture Design Solution Architecture Design Patterns Performance Considerations Security Considerations Architectural Reliability Considerations Operational Excellence Considerations Cost Considerations DevOps and Solution Architecture Framework Data Engineering for Solution Architecture Machine Learning Architecture The Internet of Things Architecture Quantum Computing Rearchitecting Legacy Systems Solution Architecture Document Learning Soft Skills to Become a Better Solution Architect Review I often see people looking to upgrade their skills or change their career paths to become solutions architects [...] For new or existing solutions architects looking to keep their skills sharp in the cloud era, this book hits all the key areas. -- Rajesh Sheth, General Manager, Messaging and Streaming, AWS Solutions Architects Handbook is the go-to guide for understanding various functions in the age of cloud computing [...] I have never seen a more holistic approach to sharing best practice...

-Titulo Original : Python Gui Programming With Tkinter Design And Build Functional And User-friendly Gui Applications, 2nd Edition-Fabricante : Packt Publishing-Descripcion Original: Transform your evolving user requirements into feature-rich Tkinter applications Key Features Extensively revised with new content on RESTful networking, classes in Tkinter, and the Notebook widget Take advantage of Tkinters lightweight, portable, and easy-to-use features Build better-organized code and learn to manage an evolving codebase Book Description Tkinter is widely used to build GUIs in Python due to its simplicity. In this book, youll discover Tkinters strengths and overcome its challenges as you learn to develop fully featured GUI applications. Python GUI Programming with Tkinter, Second Edition, will not only provide you with a working knowledge of the Tkinter GUI library, but also a valuable set of skills that will enable you to plan, implement, and maintain larger applications. Youll build a full-blown data entry application from scratch, learning how to grow and improve your code in response to continually changing user and business needs. Youll develop a practical understanding of tools and techniques used to manage this evolving codebase and go beyond the default Tkinter widget capabilities. Youll implement version control and unit testing, separation of concerns through the MVC design pattern, and object-oriented programming to organize your code more cleanly. Youll also gain experience with technologies often used in workplace applications, such as SQL databases, network services, and data visualization libraries. Finally, youll package your application for wider distribution and tackle the challenge of maintaining cross-platform compatibility. What you will learn Produce well-organized, functional, and responsive GUI applications Extend the functionality of existing widgets using classes and OOP Plan wisely for the expansion of your app using MVC and version control Make sure your app works as intended through widget validation and unit testing Use tools and processes to analyze and respond to user requests Become familiar with technologies used in workplace applications, including SQL, HTTP, Matplotlib, threading, and CSV Use PostgreSQL authentication to ensure data security for your application Who this book is for This book is for programmers who understand the syntax of Python, but do not yet have the skills, techniques, and knowledge to design and implement a complete software application. A fair grasp of basic Python syntax is required. Table of Contents Introduction to Tkinter Designing GUI Applications Creating Basic Forms with Tkinter and Ttk Widgets Organizing Our Code with Classes Reducing User Error with Validation and Automation Planning for the Expansion of Our Application Creating Menus with Menu and Tkinter Dialogs Navigating Records with Treeview and Notebook Improving the Look with Styles and Themes Maintaining Cross-Platform Compatibility Creating Automated Tests with unittest Improving Data Storage with SQL Connecting to the Cloud Asynchronous Programming with Thread and Queue Visualizing Data Using the Canvas Widget Packaging with setuptools and cxFreeze Appendix A : A Quick Primer on reStructuredText Appendix B: A Quick SQL Tutorial About the Author Alan D. Moore is a data analyst and software developer who has been solving problems with Python since 2006. Hes developed both open source and private code using frameworks like Django, Flask, Qt, and of course Tkinter, and is known to contribute to various open-source Python and JavaScript projects. Alan maintains a YouTube channel, “Alan D Moore Codes”, where he posts Python, PyQt, and Tkinter tutorials. Alan lives in Franklin, Tennessee, where he works for the County Government, and with his wife Cara raises a crew of children who are just as geeky as their dad...

-Titulo Original : Kotlin Design Patterns And Best Practices Build Scalable Applications Using Traditional, Reactive, And Concurrent Design Patterns In Kotlin, 2nd Edition-Fabricante : Packt Publishing-Descripcion Original: Improve the scalability and maintainability of your applications by implementing a variety of design patterns using Kotlin Key Features Understand traditional and modern design patterns to improve the design of your application Combine the benefits of object-oriented, functional, reactive, and concurrent programming Choose the best microservices architecture and frameworks for your web application Book Description Design patterns are well-known solutions to common architectural problems as they allow you to solve many problems efficiently and create a shared vocabulary between developers. This book shows you how easy it can be to implement traditional design patterns in the modern multi-paradigm Kotlin programming language, and takes you through the new patterns and paradigms that have emerged. This second edition is updated to cover the changes introduced from Kotlin 1.2 up to 1.5 and focuses more on the idiomatic usage of coroutines, which have become a stable language feature. Youll begin by learning about the practical aspects of smarter coding in Kotlin, and will understand basic Kotlin syntax and the impact of design patterns on your code. The book also provides an in-depth explanation of the classical design patterns, such as Creational, Structural, and Behavioral families, before moving on to functional programming. Youll go through reactive and concurrent patterns, and finally, get to grips with coroutines and structured concurrency to write performant, extensible, and maintainable code. By the end of this Kotlin book, youll have explored the latest trends in architecture and design patterns for microservices, as well as understanding the tradeoffs when choosing between different architectures. What you will learn Implement all the classical design patterns using the Kotlin programming language Apply reactive and concurrent design patterns to make your application more scalable Discover best practices in Kotlin and explore its new features Understand the key principles of functional programming and learn how they apply to Kotlin Find out how to write idiomatic Kotlin code and learn which patterns to avoid Harness the power of Kotlin to design concurrent and reliable systems with ease Create an effective microservice with Kotlin and the Ktor framework Who this book is for This book is for developers looking to apply design patterns theyve learned from other languages in Kotlin to build reliable, scalable, and maintainable applications. Prior programming knowledge is necessary to get started with this book. Experience in Java or design patterns is helpful, but not mandatory. Table of Contents Getting Started with Kotlin Working with Creational Patterns Understanding Structural Patterns Getting Familiar with Behavioral Patterns Introducing Functional Programming Threads and Coroutines Controlling the Data Flow Designing for Concurrency Idioms and Anti-Patterns Concurrent Microservices with Ktor Reactive Microservices with Vert.x About the Author Alexey Soshin is a software architect with 15 years of experience in the industry. He started exploring Kotlin when Kotlin was still in beta, and since then has been a big enthusiast of the language. Hes a conference speaker, published writer, and the author of a video course titled Pragmatic System Design...

-Titulo Original : Microsoft Sentinel In Action Architect, Design, Implement, And Operate Microsoft Sentinel As The Core Of Your Security Solutions, 2nd Edition-Fabricante : Packt Publishing-Descripcion Original: Learn how to set up, configure, and use Microsoft Sentinel to provide security incident and event management services for your multi-cloud environment Key Features Collect, normalize, and analyze security information from multiple data sources Integrate AI, machine learning, built-in and custom threat analyses, and automation to build optimal security solutions Detect and investigate possible security breaches to tackle complex and advanced cyber threats Book Description Microsoft Sentinel is a security information and event management (SIEM) tool developed by Microsoft that helps you to integrate cloud security and artificial intelligence (AI). This book will enable you to implement Microsoft Sentinel and understand how it can help detect security incidents in your environment with integrated AI, threat analysis, and built-in and community-driven logic. The book begins by introducing you to Microsoft Sentinel and Log Analytics. Youll then get to grips with data collection and management, before learning how to create effective Microsoft Sentinel queries to detect anomalous behaviors and activity patterns. Moving ahead, youll learn about useful features such as entity behavior analytics and Microsoft Sentinel playbooks along with exploring the new bi-directional connector for ServiceNow. As you progress, youll find out how to develop solutions that automate responses needed to handle security incidents. Finally, youll grasp the latest developments in security, discover techniques to enhance your cloud security architecture, and explore how you can contribute to the security community. By the end of this Microsoft Sentinel book, youll have learned how to implement Microsoft Sentinel to fit your needs and be able to protect your environment from cyber threats and other security issues. What you will learn Implement Log Analytics and enable Microsoft Sentinel and data ingestion from multiple sources Get to grips with coding using the Kusto Query Language (KQL) Discover how to carry out threat hunting activities in Microsoft Sentinel Connect Microsoft Sentinel to ServiceNow for automated ticketing Find out how to detect threats and create automated responses for immediate resolution Use triggers and actions with Microsoft Sentinel playbooks to perform automations Who this book is for If you are an IT professional with prior experience in other Microsoft security products and Azure and are now looking to expand your knowledge to incorporate Microsoft Sentinel, then this book is for you. Security experts using an alternative SIEM tool who want to adopt Microsoft Sentinel as an additional service or as a replacement will also find this book useful. Table of Contents Getting started with Microsoft Sentinel Azure Monitor-Introduction to Log Analytics Managing and collecting data Integrating Threat Intelligence with Microsoft Sentinel Using the Kusto Query Language Microsoft Sentinel Logs and Writing Queries Creating Analytic Rules Creating and Using Workbooks Incident Management Configuring and Using Entity Behavior Threat Hunting in Microsoft Sentinel Creating Playbooks and Automation ServiceNow integration for Alert and Case Management Operational Tasks for Microsoft Sentinel Constant Learning and Community Contribution About the Author Richard Diver is a senior technical business strategy manager for the Microsoft Security Solutions group, focused on developing security partners. Based in Chicago, Richard works with advanced security and compliance partners to help them build solutions across the entire Microsoft platform, including Microsoft Sentinel, Microsoft Defender, Microsoft 365 security solutions, and many more. Prior to Microsoft, Richard worked in multiple industries and for several Microsoft partners to architect and implement cloud security solutions for a wide variety of customers around the world. Any spare time he gets is usually spent with his family. Gary Bushey is...

-Titulo Original : Learn Python Programming An In-depth Introduction To The Fundamentals Of Python, 3rd Edition-Fabricante : Packt Publishing-Descripcion Original: Get up and running with Python 3.9 through concise tutorials and practical projects in this fully updated edition Key Features Discover how to think like a Python programmer Extensively revised with richer examples, Python 3.9 syntax, and new chapters on APIs and packaging and distributing Python code Learn the fundamentals of Python through real-world projects in API development, GUI programming, and data science Book Description Learn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines. This book will make learning Python easy and give you a thorough understanding of the language. Youll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries. This revised edition covers the latest updates on API management, packaging applications, and testing. There is also broader coverage of context managers and an updated data science chapter. The book empowers you to take ownership of writing your software and become independent in fetching the resources you need. You will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned. What you will learn Get Python up and running on Windows, Mac, and Linux Write elegant, reusable, and efficient code in any situation Avoid common pitfalls like duplication, complicated design, and over-engineering Understand when to use the functional or object-oriented approach to programming Build a simple API with FastAPI and program GUI applications with Tkinter Get an initial overview of more complex topics such as data persistence and cryptography Fetch, clean, and manipulate data, making efficient use of Pythons built-in data structures Who this book is for This book is for anyone who has some programming experience, but not necessarily with Python. Some knowledge of basic programming concepts will come in handy, although it is not a requirement. Table of Contents A Gentle Introduction to Python Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling GUIs and Scripting Data Science in Brief Introduction to API Development Packaging Python Applications About the Author Fabrizio Romano was born in Italy in 1975. He holds a masters degree in Computer Science Engineering from the University of Padova. He’s been working as a professional software developer since 1999. Fabrizio has been part of Sohonet’s Product Team since 2016. In 2020, the Television Academy honored them with an Emmy Award in Engineering Development for advancing remote collaboration. Heinrich Kruger was born in South Africa in 1981. He holds a master’s degree in Computer Science from Utrecht University in the Netherlands. He has been working as a professional software developer since 2014. Heinrich has been working alongside Fabrizio in the Product Team at Sohonet since 2017. In 2020, the Television Academy honored them with an Emmy Award in Engineering Development for advancing remote collaboration...

-Titulo Original : Microsoft Power Bi Cookbook Gain Expertise In Power Bi With Over 90 Hands-on Recipes, Tips, And Use Cases, 2nd Edition-Fabricante : Packt Publishing-Descripcion Original: Build effective analytical data models, reports, and dashboards using the advanced features of Power BI Key Features Updated with new recipes on query optimization, aggregation tables, Power BI API, and paginated reports Work with recipes across diverse Power BI platforms including the Power BI Service and Mobile Applications Implement custom solutions with M and DAX languages through actionable guidance and proven development techniques Book Description Microsoft Power BI is a leading business intelligence and data analytics platform that provides tools and services for deriving insights from data. With revised practical recipes, Microsoft Power BI Cookbook, Second Edition helps you navigate Power BI tools and their advanced features. It also demonstrates the use of end-to-end solutions that integrate those features to get the most out of Power BI. This cookbook provides advanced design and development tips, and guidance on enhancing existing Power BI projects. The updated edition enables you to implement evergreen frameworks that will stay relevant as Power BI updates. Get familiar with Power BI development tools and services by going deep into the data connectivity, transformation, modeling, visualization, and analytical capabilities of Power BI. Microsoft Power BI Cookbook, Second Edition enables Power BIs functional programming languages of DAX and M to come alive and deliver powerful solutions to common business intelligence challenges. What you will learn Cleanse, stage, and integrate your data sources with Power Query (M) Remove data complexities and provide users with intuitive, self-service BI capabilities Build business logic and analysis into your solutions via the DAX programming language and dashboard-ready calculations Implement aggregation tables to accelerate query performance over large data sources Create and integrate paginated reports Understand the differences and implications of DirectQuery, live connections, Import, and Composite model datasets Integrate other Microsoft data tools into your Power BI solution Who this book is for This book is for BI professionals who wish to enhance their knowledge of Power BI and the value of the Power BI solutions they deliver to business users. Those who are looking at quick solutions to common problems while using Power BI will also find this book to be an extremely useful resource. Familiarity with Power BI and working with datasets is essential. This book is not for beginners. Table of Contents Configuring Power BI Tools Accessing and Retrieving Data Building a Power BI Data Model Authoring Power BI Reports Working in the Service Getting Serious with Date Intelligence Parameterizing Power BI Solutions Implementing Dynamic User-Based Visibility in Power BI Applying Advanced Analytics and Custom Visuals Administering and Monitoring Power BI Enhancing and Optimizing Existing Power BI Solutions Deploying and Distributing Power BI Content Integrating Power BI with Other Applications Review The new Microsoft Power BI Cookbook authored by Greg Deckler & Brett Powell provides an accurately detailed roadmap for both new and mature Power BI developers and admins to set up, develop and distribute Power BI reports to their business stakeholders. This book stands out from others in that from chapter 1 it dives straight into the necessary detail with quality product definitions & how to apply techniques including code extracts offering accurate recipes towards guiding you on your Power BI journey. I have been working with Power BI for over 5 years and enjoyed reviewing this book, the layout, the roadmap and I learned some new tricks from these 2 highly respected authors in the industry. A must-read for all modern Power BI developers, IT managers and business analysts. - David Moss, Wottabyte Limited, Power Platform Solutions Architect, Microsoft Valued Professional MVP, Power BI Microsoft Certified Trainer The Microsoft Power BI ...

-Titulo Original : Natural Language Processing With Aws Ai Services Derive Strategic Insights From Unstructured Data With Amazon Textract And Amazon Comprehend-Fabricante : Packt Publishing-Descripcion Original: Work through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI services Key Features Get to grips with AWS AI services for NLP and find out how to use them to gain strategic insights Run Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomes Understand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2I Book Description Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, youll understand the importance of NLP in todays business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, youll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. Youll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, youll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, youll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether youre new to ML or an experienced practitioner, by the end of this NLP book, youll have the confidence to use AWS AI services to build powerful NLP applications. What you will learn Automate various NLP workflows on AWS to accelerate business outcomes Use Amazon Textract for text, tables, and handwriting recognition from images and files Gain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon Comprehend Set up end-to-end document processing pipelines to understand the role of humans in the loop Develop NLP-based intelligent search solutions with just a few lines of code Create both real-time and batch document processing pipelines using Python Who this book is for If youre an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful. Table of Contents NLP in the Business Context and Introduction to AWS AI Services Introducing Amazon Textract Introducing Amazon Comprehend Automating Document Processing Workflows Creating NLP Search Using NLP to Improve Customer Service Efficiency Understanding the Voice of Your Customer Analytics Leveraging NLP to Monetize Your Media Content Extracting Metadata from Financial Documents Reducing Localization Costs with Machine Translation Using Chatbots for Querying Documents AI and NLP in Healthcare Improving the Accuracy of Document Processing Workflows Auditing Named Entity Recognition Workflows Classifying Documents and Setting up Human in the Loop for Active Learning Improving the Accuracy of Batch Processing Visualizing Insights from Handwritten Content Building Secure, Reliable, and Efficient NLP Solutions About the Author Mona M is a senior AI/ML specialist solutions architect at AWS. She is a highly skilled IT professional, with more than 10 years experience in software design, development, and integration across diverse work environments. As an AWS solutions architect, her role is to ensure customer success in building applications and services on the AWS platform. She is responsible for crafting a highly scalable, flexible,...

-Titulo Original : Ios 15 Programming For Beginners Kickstart Your Mobile App Development Journey By Building Ios Apps With Swift 5.5 And Xcode 13, 6th Edition-Fabricante : Packt Publishing-Descripcion Original: Learn iOS app development and work with Xcode 13 and Apples iOS 15 simulators Key Features Explore the latest features of Xcode 13 and the Swift 5.5 programming language in this updated sixth edition Start your iOS programming career and have fun building your own iOS apps Discover the new features of iOS 15 such as Mac Catalyst, SwiftUI, Swift Concurrency, and SharePlay Book Description With almost 2 million apps on the App Store, iOS mobile apps continue to be incredibly popular. Anyone can reach millions of customers around the world by publishing their apps on the App Store. iOS 15 Programming for Beginners is a comprehensive introduction for those who are new to iOS. It covers the entire process of learning the Swift language, writing your own app, and publishing it on the App Store. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will help you get well-versed with the Swift language to build your apps and introduce exciting new technologies that you can incorporate into your apps. Youll learn how to publish iOS apps and work with Mac Catalyst, SharePlay, SwiftUI, Swift concurrency, and much more. By the end of this iOS development book, youll have the knowledge and skills to write and publish interesting apps, and more importantly, to use the online resources available to enhance your app development journey. What you will learn Get to grips with the fundamentals of Xcode 13 and Swift 5.5, the building blocks of iOS development Understand how to prototype an app using storyboards Discover the Model-View-Controller design pattern and how to implement the desired functionality within an app Implement the latest iOS features such as Swift Concurrency and SharePlay Convert an existing iPad app into a Mac app with Mac Catalyst Design, deploy, and test your iOS applications with design patterns and best practices Who this book is for This book is for anyone who has programming experience but is new to Swift and iOS app development. Basics knowledge of programming, including loops, boolean, and so on, is necessary. Table of Contents Getting Familiar with Xcode Simple Values and Types Conditionals and Optionals Range Operators and Loops Collection Types Functions and Closures Classes, Structures, and Enumerations Protocols, Extensions, and Error Handling Setting Up the User Interface Building Your User Interface Finishing Up Your User Interface Modifying and Configuring Cells Getting Started with MVC and Collection Views Getting Data into Collection Views Getting Started with Table Views Getting Started with MapKit Getting Started with JSON Files Displaying Data in a Static Table View Getting Started with Custom UIControls Getting Started with Cameras and Photo Libraries Understanding Core Data Getting Started with Mac Catalyst Getting Started with SwiftUI Getting Started with Swift Concurrency Getting Started with SharePlay Testing and Submitting Your App to the App Store About the Author Ahmad Sahar is a trainer, presenter, and consultant at Tomafuwi Productions, specializing in conducting training courses for macOS and iOS, macOS Support Essentials certification courses, and iOS Development courses. He is a member of the DevCon iOS and MyCocoaHeads online communities in Malaysia, and has conducted presentations and talks for both groups. In his spare time, he likes building and programming LEGO Mindstorms robots. Craig Clayton is a self-taught senior iOS engineer at Fan Reach, specializing in building mobile experiences for NBA, NHL, CHL, and NFL teams. He also volunteered as the organizer of the Suncoast iOS meetup group in the Tampa/St. Petersburg area for 3 years, preparing presentations and hands on talks for this group and other groups in the community. He is launching a new site called Design To SwiftUI online, which specializes in teaching developers and designers how to build iOS apps from design to SwiftUI video cours...

-Titulo Original : Mastering Go Harness The Power Of Go To Build Professional Utilities And Concurrent Servers And Services, 3rd Edition-Fabricante : Packt Publishing-Descripcion Original: Master key features of Go, including advanced concepts like concurrency and working with JSON, to create and optimize real-world services, network servers, and clients Key Features Third edition of the bestselling guide to advanced Go programming, expanded to cover RESTful servers, the WebSocket protocol, and Go generics Use real-world exercises to build high-performance network servers and powerful command line utilities Packed with practical examples and utilities to apply to your own development work and administrative tasks Clearly explains Go nuances and features to simplify Go development Book Description Go is the language of the future for high-performance systems due to its simplicity and clear principles. Mastering Go shows you how to put Go to work on real production systems. This new edition has been updated to include topics like creating RESTful servers and clients, understanding Go generics, and developing gRPC servers and clients. Mastering Go, Third Edition explores the capabilities of Go in practice. You will become confident with advanced concepts, including concurrency and the operation of the Go Garbage Collector, using Go with Docker, writing powerful command-line utilities, working with JavaScript Object Notation (JSON) data, and interacting with databases. You will also improve your understanding of Go internals to optimize Go code and use data types and data structures in new and unexpected ways. This Go programming book also covers the nuances and idioms of Go with exercises and resources to fully embed your newly acquired knowledge. Become an expert Go programmer by building Go systems and implementing advanced Go techniques in your projects. What you will learn Use Go in production Write reliable, high-performance concurrent code Manipulate data structures including slices, arrays, maps, and pointers Develop reusable packages with reflection and interfaces Become familiar with generics for effective Go programming Create concurrent RESTful servers, and build gRPC clients and servers Define Go structures for working with JSON data Who this book is for This book is for Go programmers with previous coding experience, who are familiar with the basics of the language and want to become expert Go practitioners. Table of Contents A Quick Introduction to Go Basic Go Data Types Composite Data Types Reflection and Interfaces Go Packages and Functions Telling a UNIX System What to Do Go Concurrency Building Web Services Working with TCP/IP and WebSocket Working with REST APIs Code Testing and Profiling Working with gRPC Go Generics Appendix About the Author Mihalis Tsoukalos holds a BSc in Mathematics from the University of Patras and an MSc in IT from University College London, UK. His previous books, Go Systems Programming and Mastering Go, have become a must-read for Unix and Linux systems professionals. He works as a Unix systems engineer, database administrator, and mathematician. He enjoys writing technical articles and has written for Sys Admin, MacTech, C/C Users Journal, USENIX; login:, Linux Journal, Linux User and Developer, Linux Format, and Linux Voice. His research interests include time series, indexing, and databases...

-Titulo Original : Machine Learning Engineering With Python Manage The Production Life Cycle Of Machine Learning Models Using Mlops With Practical Examples-Fabricante : Packt Publishing-Descripcion Original: Supercharge the value of your machine learning models by building scalable and robust solutions that can serve them in production environments Key Features Explore hyperparameter optimization and model management tools Learn object-oriented programming and functional programming in Python to build your own ML libraries and packages Explore key ML engineering patterns like microservices and the Extract Transform Machine Learn (ETML) pattern with use cases Book Description Machine learning engineering is a thriving discipline at the interface of software development and machine learning. This book will help developers working with machine learning and Python to put their knowledge to work and create high-quality machine learning products and services. Machine Learning Engineering with Python takes a hands-on approach to help you get to grips with essential technical concepts, implementation patterns, and development methodologies to have you up and running in no time. Youll begin by understanding key steps of the machine learning development life cycle before moving on to practical illustrations and getting to grips with building and deploying robust machine learning solutions. As you advance, youll explore how to create your own toolsets for training and deployment across all your projects in a consistent way. The book will also help you get hands-on with deployment architectures and discover methods for scaling up your solutions while building a solid understanding of how to use cloud-based tools effectively. Finally, youll work through examples to help you solve typical business problems. By the end of this book, youll be able to build end-to-end machine learning services using a variety of techniques and design your own processes for consistently performant machine learning engineering. What you will learn Find out what an effective ML engineering process looks like Uncover options for automating training and deployment and learn how to use them Discover how to build your own wrapper libraries for encapsulating your data science and machine learning logic and solutions Understand what aspects of software engineering you can bring to machine learning Gain insights into adapting software engineering for machine learning using appropriate cloud technologies Perform hyperparameter tuning in a relatively automated way Who this book is for This book is for machine learning engineers, data scientists, and software developers who want to build robust software solutions with machine learning components. If youre someone who manages or wants to understand the production life cycle of these systems, youll find this book useful. Intermediate-level knowledge of Python is necessary. Table of Contents Introduction to ML Engineering The Machine Learning Development Process From Model to Model Factory Packaging Up Deployment Patterns and Tools Scaling Up Building an Example ML Microservice Building an Extract Transform Machine Learning Use Case Review ML Ops is one of the hottest topics in analytics and data science at the moment. This book does a great job of providing a useful overview of the subject and really practical examples of how to do it in anger. If you are a data scientist or want to be one you should buy this book and read it before your next interview or big team meeting. -Zachary Anderson, Chief Data and Analytics Officer, NatWest Group If you want to know how to take ML from applying the theory to actually doing it for real this book provides an excellent roadmap. For industry practitioners, this is going to become a required text and for academics like myself, this provides a detailed overview of the extra bits that we need to get students to consider in our courses. I cannot recommend this book highly enough! -Gordon Morrison, Professor of Data Science and Head of Computing Department at Glasgow Caledonian University About the Author Andrew Peter (Andy) McMa...

-Titulo Original : Building Data Science Applications With Fastapi Develop, Manage, And Deploy Efficient Machine Learning Applications With Python-Fabricante : Packt Publishing-Descripcion Original: Get well-versed with FastAPI features and best practices for testing, monitoring, and deployment to run high-quality and robust data science applications Key Features Cover the concepts of the FastAPI framework, including aspects relating to asynchronous programming, type hinting, and dependency injection Develop efficient RESTful APIs for data science with modern Python Build, test, and deploy high performing data science and machine learning systems with FastAPI Book Description FastAPI is a web framework for building APIs with Python 3.6 and its later versions based on standard Python-type hints. With this book, youll be able to create fast and reliable data science API backends using practical examples. This book starts with the basics of the FastAPI framework and associated modern Python programming language concepts. Youll be taken through all the aspects of the framework, including its powerful dependency injection system and how you can use it to communicate with databases, implement authentication and integrate machine learning models. Later, youll cover best practices relating to testing and deployment to run a high-quality and robust application. Youll also be introduced to the extensive ecosystem of Python data science packages. As you progress, youll learn how to build data science applications in Python using FastAPI. The book also demonstrates how to develop fast and efficient machine learning prediction backends and test them to achieve the best performance. Finally, youll see how to implement a real-time face detection system using WebSockets and a web browser as a client. By the end of this FastAPI book, youll have not only learned how to implement Python in data science projects but also how to maintain and design them to meet high programming standards with the help of FastAPI. What you will learn Explore the basics of modern Python and async I/O programming Get to grips with basic and advanced concepts of the FastAPI framework Implement a FastAPI dependency to efficiently run a machine learning model Integrate a simple face detection algorithm in a FastAPI backend Integrate common Python data science libraries in a web backend Deploy a performant and reliable web backend for a data science application Who this book is for This Python data science book is for data scientists and software developers interested in gaining knowledge of FastAPI and its ecosystem to build data science applications. Basic knowledge of data science and machine learning concepts and how to apply them in Python is recommended. Table of Contents Python Development Environment Setup Python Programming Specificities Developing RESTful API with FastAPI Managing pydantic Data Models in FastAPI Dependency Injections in FastAPI Databases and Asynchronous ORMs Managing Authentication and Security in FastAPI Defining WebSockets for Two-Way Interactive Communication in FastAPI Testing an API Asynchronously with pytest and HTTPX Deploying a FastAPI Project Introduction to NumPy and Pandas Training Machine Learning Models with scikit-learn Creating an Efficient Prediction API Endpoint with FastAPI Implement a Real-Time Face Detection System Using WebSockets with FastAPI and OpenCV Review François covers FastAPI and adjacent subjects from the ground up in a way that makes it easy for readers with little prior experience of building APIs to follow along. The book also introduces industry-standard tools like pandas and scikit-learn, which are essential in the field. I especially like that at the end of the book we combine all things learned into a small but fully functional API. - Alexander Hultner, Software Engineer & CEO, Hultner Technologies. Both scientists and software developers will benefit from this book, as François Voron presents the reader with a comprehensive approach to building robust API solutions for data science and machine learning projects using Python and FastAPI.By coverin...

-Titulo Original : Mastering Microsoft Endpoint Manager Deploy And Manage Windows 10, Windows 11, And Windows 365 On Both Physical And Cloud Pcs-Fabricante : Packt Publishing-Descripcion Original: Design and implement a secure end-to-end desktop management solution with Microsoft Endpoint Manager Key Features Learn everything you need to know about deploying and managing Windows on physical and cloud PCs Simplify remote working for cloud-managed cloud PCs via new service Windows 365 Benefit from the authors experience of managing physical endpoints and traditional virtual desktop infrastructures (VDI) Book Description One of the main reasons for the slow adoption of Modern Workplace solutions designed to simplify the management layer of your environment is the lack of understanding and knowledge of the product. With this book, youll learn everything you need to know to make the shift to Modern Workplace, running Windows 10, Windows 11, or Windows 365. Mastering Microsoft Endpoint Manager explains various concepts in detail to give you the clarity to plan how to use Microsoft Endpoint Manager (MEM) and eliminate potential migration challenges beforehand. Youll get to grips with using new services such as Windows 365 Cloud PC, Windows Autopilot, profile management, monitoring and analytics, and Universal Print. The book will take you through the latest features and new Microsoft cloud services to help you to get to grips with the fundamentals of MEM and understand which services you can manage. Whether you are talking about physical or cloud endpoints its all covered. By the end of the book, youll be able to set up MEM and use it to run Windows 10, Windows 11, and Windows 365 efficiently. What you will learn Understand how Windows 365 Cloud PC makes the deployment of Windows in the cloud easy Configure advanced policy management within MEM Discover modern profile management and migration options for physical and cloud PCs Harden security with baseline settings and other security best practices Find troubleshooting tips and tricks for MEM, Windows 365 Cloud PC, and more Discover deployment best practices for physical and cloud-managed endpoints Keep up with the Microsoft community and discover a list of MVPs to follow Who this book is for If you are an IT professional, enterprise mobility administrator, architect, or consultant looking to learn about managing Windows on both physical and cloud endpoints using Microsoft Endpoint Manager, this book is for you. Table of Contents Introduction to Microsoft 365 What is Unified Endpoint Management? Introducing Windows 365 Deploying Windows 365 Requirements for Microsoft Endpoint Manager Windows Deployment and Management Manager Windows Autopilot Application Management and Delivery Understanding Policy Management Advanced Policy Management Office Policy Management User Profile Management Identity and Security Management Monitoring and Endpoint Analytics Universal Print Troubleshooting Microsoft Endpoint Manager Troubleshooting Windows 365 Community Help Review Insights on every page - truly a masterpiece. This book stands in a class of its own. Never before has a comprehensive, detailed book been put together to help you on your MEM journey. There have been other great MEM books, dont get me wrong, but the attention to detail and concepts in this book are incredible. Every page is brimming with knowledge. The Index makes it really easy to jump straight to your topics of interest. Want to start using Autopilot but never touched it before? This book is for you. Dont fully understand all the application delivery options available in MEM? This book is for you. Christiaan and Per have decades of experience between them and that culmination of knowledge comes together in this great book. Look at the thickness of the book in one of the photos - you really are getting bang for your buck. Very easy to read, very clear guided steps to configure every inch of your MEM tenant. Great stuff! Ben Whitmore, Senior Cloud Consultant @CloudWay and Microsoft MVP, Speaker and Founder/CoFounder @MEMbersHut Everything you need to know to enroll and ...

-Titulo Original : Privilege Escalation Techniques Learn The Art Of Exploiting Windows And Linux Systems-Fabricante : Packt Publishing-Descripcion Original: Learn how to escalate your privileges on Windows and Linux systems This book is a comprehensive guide on the privilege escalation process for Windows and Linux systems and is designed to be practical and hands-on by providing the reader with real world exercises and scenarios in the form of vulnerable environments and virtual machines. Key Features Learn how to perform local enumeration on Windows & Linux systems. Understand the key differences between elevating privileges on Windows and Linux systems. Learn how to identify privilege escalation vectors on Windows & Linux systems. Learn how to elevate your privileges on Windows and Linux systems by leveraging various tools and techniques. Privilege escalation is a vital element of the attack life cycle and is a major determinant in the overall success of a penetration test. The importance of privilege escalation in the penetration testing process cannot be overstated or overlooked. Developing your privilege escalation skills will mark you out as a good penetration tester. The ability to enumerate information from a target system and utilize this information to identify potential misconfigurations and vulnerabilities that can be exploited to elevate privileges is an essential skill set for any penetration tester. The book uses virtual environments that you can download to test and run tools and techniques. Each chapter will feature an exploitation challenge in the form of pre-built virtual machines (VMs). As you progress, you will learn how to enumerate and exploit vulnerabilities on Linux or Windows systems in order to elevate your privileges. By the end of this book, you will have gained the skills you need to be able to perform local enumeration in order to identify privilege escalation vectors on Windows and Linux systems and how to exploit them in order to elevate your privileges. What you will learn Understand the privilege escalation process and how it differs from Windows to Linux Learn how to set up a virtual penetration testing lab Gain an initial foothold on the system Perform local enumeration on target systems Exploit kernel vulnerabilities on Windows and Linux systems Perform privilege escalation through password looting and finding stored credentials Get to grips with performing impersonation attacks Exploit Windows services such as the secondary logon handle service to escalate Windows privileges Escalate Linux privileges by exploiting scheduled tasks and SUID binaries Who this book is for? This Windows and Linux privilege escalation book is for intermediate-level cybersecurity students and pentesters who are interested in learning how to perform various privilege escalation techniques on Windows and Linux systems, which includes exploiting bugs, design flaws, and more. An intermediate-level understanding of Windows and Linux systems along with fundamental cybersecurity knowledge is expected. Table of Contents Introduction to Privilege Escalation Setting Up Our Lab Gaining Access (Exploitation) Performing Local Enumeration Windows Kernel Exploits Impersonation Attacks Windows Password Mining Exploiting Services Privilege Escalation through the Windows Registry Linux Kernel Exploits Linux Password Mining Scheduled Tasks Exploiting SUID Binaries About the Author Alexis Ahmed is an experienced penetration tester and security researcher with over 7 years of experience in the cybersecurity industry. He started off his career as a Linux system administrator and soon discovered a passion and aptitude for security and transitioned into a junior penetration tester. In 2017, he founded HackerSploit, a cybersecurity consultancy that specializes in penetration testing and security training, where he currently works as a senior penetration tester and trainer. Alexis has multiple cybersecurity certifications, ranging from the CEH and Sec to OSCP, and is a certified ISO 27001 associate. He is also an experienced DevSecOps ...

-Titulo Original : Latex Beginners Guide Create Visually Appealing Texts, Articles, And Books For Business And Science Using Latex, 2nd Edition-Fabricante : Packt Publishing-Descripcion Original: Harness the power of LaTeX and its wide range of features to create professional-looking text, articles, and books with both online and offline capabilities of LaTeX Key Features Get a hands-on introduction to LaTeX using fully explained examples to advance from beginner to LaTeX professional quickly Write impressive mathematical, scientific, and business papers or theses using LaTeX Explore LaTeX online Book Description LaTeX is high-quality open source typesetting software that produces professional prints and files. Its a powerful and complex tool with a multitude of features, so getting started can be intimidating. However, once you become comfortable with LaTeX, its capabilities far outweigh any initial challenges, and this book will help you with just that! The LaTeX Beginners Guide will make getting started with LaTeX easy. If you are writing mathematical, scientific, or business papers, or have a thesis to write, this is the perfect book for you. With the help of fully explained examples, this book offers a practical introduction to LaTeX with plenty of step-by-step examples that will help you achieve professional-level results in no time. Youll learn to typeset documents containing tables, figures, formulas, and common book elements such as bibliographies, glossaries, and indexes, and go on to manage complex documents and use modern features. Youll also get to grips with using macros and styles to maintain a consistent document structure while saving typing work. By the end of this LaTeX book, youll have learned how to fine-tune text and page layout, create professional-looking tables, include figures, present complex mathematical formulas, manage complex documents, and benefit from modern features. What you will learn Make the most of LaTeXs powerful features to produce professionally designed texts Download, install, and set up LaTeX and use additional styles, templates, and tools Typeset math formulas and scientific expressions to the highest standards Understand how to include graphics and work with figures and tables Discover professional fonts and modern features Work with book elements such as bibliographies, glossaries, and indexes Typeset documents containing tables, figures, and formulas Who this book is for If you are about to write mathematical or scientific papers, seminar handouts, or even plan to write a thesis, this book offers you a fast-paced and practical introduction to LaTeX. School and university students will find this easy-to-follow LaTeX guide helpful, as will mathematicians, physicists, engineers, and humanists. Anybody with high expectations from their software will discover how easy it is to leverage LaTeXs high performance for creating documents. Table of Contents Getting Started with LaTeX Formatting Text and Creating Macros Designing Pages Creating Lists Including Images Creating Tables Using Cross-References Listing Content and References Writing Math Formulas Using Fonts Developing Large Documents Enhancing Your Documents Further Troubleshooting Using Online Resources About the Author Stefan Kottwitz studied mathematics in Jena and Hamburg. He works as network and IT security engineer both for Lufthansa Industry Solutions and for Eurowings Aviation. For many years, he has been providing LaTeX support on online forums. He maintains the web forums LaTeX and goLaTeX and the Q&A sites TeXwelt and TeXnique. He runs the TeX graphics gallery sites TeXample and PGFplots, the TeXdoc service and CTAN LaTeX software mirrors. He is a moderator of the TeX Stack Exchange site and on matheplanet. He publishes ideas and news from the TeX world on his blogs LaTeX and TeX websites. Before this book, he authored LaTeX Beginners Guide in 2011, and the LaTeX Cookbook in 2015, both with Packt...

-Titulo Original : Extreme Dax Take Your Power Bi And Microsoft Data Analytics Skills To The Next Level-Fabricante : Packt Publishing-Descripcion Original: Discover the true power of DAX and build advanced DAX solutions for practical business scenarios Key Features Solve complex business problems within Microsoft BI tools including Power BI, SQL Server, and Excel Develop a conceptual understanding of critical business data modeling principles Learn the subtleties of Power BI data visualizations, evaluation context, context transition, and filtering Book Description If you want to get the most out of Microsoft Business Intelligence tools, sooner or later youll need to master DAX. Extreme DAX enables business analysts to generate powerful and sophisticated analyses from their data. Youll learn the principles of business intelligence, good model design, and how DAX fits into it all. Then, youll launch into detailed examples of DAX in real-world business scenarios such as inventory calculations, forecasting, intercompany business, and data security. At each step, senior DAX experts will walk you through the subtleties involved in working with Power BI models and common mistakes to look out for as you build advanced data aggregations. Youll deepen your understanding of DAX functions, filters, and measures, and how and when they can be used to derive effective insights. Also provided with the book are PBIX files for each chapter for you to follow along with and explore in your own time. What you will learn Understand data modeling concepts and structures before you start working with DAX Grasp how relationships in Power BI models are different from those in RDBMSes Secure aggregation levels, attributes, and hierarchies using PATH functions and row-level security Get to grips with the crucial concept of context Apply advanced context and filtering functions including TREATAS, GENERATE, and SUMMARIZE Explore dynamically changing visualizations with helper tables and dynamic labels and axes Work with week-based calendars and understand standard time-intelligence Evaluate investments intelligently with the XNPV and XIRR financial DAX functions Who this book is for If you are an analyst with a working knowledge of DAX in MS Power BI or other Microsoft analytics tools, this book will help you upgrade your DAX knowledge and work with analytical models more effectively. This book is not for beginners and practical experience with DAX is necessary. Table of Contents DAX in Business Intelligence Model Design Using DAX Context and Filtering Security with DAX Dynamically Changing Visualizations Alternative Calendars Working with AutoExist Intercompany Business Exploring the Future: Forecasting and Future Values Inventory Analysis Personnel Planning About the Author Michiel Rozema is one of the world’s top Power BI experts, living in the Netherlands. He holds a master’s degree in mathematics and has worked in the IT industry for over 25 years as a consultant and manager. Michiel was the data insight lead at Microsoft Netherlands for 8 years, during which time he launched Power BI in the country. He is the author of two Dutch books on Power Pivot and Power BI. Michiel is one of the founders of the Dutch Power BI user group and the organizer of the Power BI Summer School, and has been a speaker at many conferences on Power BI. He has been awarded the Microsoft MVP award since 2019 and, together with fellow MVP Henk Vlootman, runs the consultancy company Quanto, specialists in Power BI. Henk Vlootman is a senior global Power Platform, Power BI, and Excel business consultant. Every year since 2013, Henk has received the Microsoft MVP award for his outstanding expertise and community leadership. Henk is one of founders of the Dutch Power BI user group and the organizer of the Power BI Summer School, and has been a speaker at many conferences on Power BI all over the world. He is also the author of two Excel and two Power Pivot / Power BI books. He started his career in 1992 with his own company, then as an Excel consultant. Nowadays he runs the consultanc...

-Titulo Original : Mastering Windows Server 2019 The Complete Guide For System Administrators To Install, Manage, And Deploy New Capabilities With Windows Server 2019, 3rd Edition-Fabricante : Packt Publishing-Descripcion Original: Enhance and secure your datacenter with Microsoft Windows Server 2019 Key Features Updated with four new chapters on Active Directory, DNS and DHCP, group policy, and troubleshooting Design and implement Microsoft Server 2019 in an enterprise environment Learn how to use Windows Server to create secure and efficient networks Book Description Windows Server 2019 has a lot to offer, with a variety of roles, features, toolsets, and server management interfaces that allow interaction with your servers from virtually anywhere in the world. This updated edition comes with four new chapters to provide you with the in-depth knowledge needed to implement and use this operating system in any environment. Centralized management, monitoring, and configuration of servers are key to an efficient IT department. This book delves into multiple methods for quickly managing all your servers from a single pane of glass - the ability to monitor different servers across a network using Server Manager, Windows PowerShell, and even Windows Admin Center - from anywhere. Despite the book being more focused on Windows Server 2019 LTSC, you will still explore containers and Nano Server, which are more related to the SAC of server releases. This additional coverage will give you insights into all aspects of using Windows Server 2019 in your environment. This book covers a range of remote access technologies available in this operating system, teaches management of PKI and certificates, and empowers you to virtualize your datacenter with Hyper-V. You will also discover the tools and software included with Windows Server 2019 that assist in the inevitable troubleshooting of problems that crop up. What you will learn Work with Server Core and Windows Admin Center Secure your network and data with modern technologies in Windows Server 2019 Understand containers and understand when to use Nano Server Discover new ways to integrate your datacenter with Microsoft Azure Reinforce and secure your Windows Server Virtualize your datacenter with Hyper-V Explore Server Manager, PowerShell, and Windows Admin Center Centralize your information and services using Active Directory and Group Policy Who this book is for If you are a system administrator or an IT professional designing and deploying Windows Server 2019, this book is for you. Prior experience with Windows Server operating systems and familiarity with networking concepts is required. Table of Contents Getting Started with Windows Server 2019 Installing and Managing Windows Server 2019 Active Directory DNS and DHCP Group Policy Certificates in Windows Server 2019 Networking with Windows Server 2019 Remote Access Hardening and Security Server Core PowerShell Redundancy in Windows Server 2019 Containers and Nano Server Hyper-V Troubleshooting Windows Server 2019 About the Author Jordan Krause has been an IT professional for more than 20 years and has received 9 Microsoft MVP awards for his work with Microsoft server and networking technologies. One of the world’s first experts on Microsoft DirectAccess, he has a passion for helping companies find the best ways to enable a remote workforce. Committed to continuous learning, Jordan holds certifications as an MCSE, MCSA, and MCITP Enterprise Administrator, and has authored numerous books on Microsoft technologies. Jordan lives in beautiful West Michigan (USA), but works daily with companies around the world...

-Titulo Original : Extending Power Bi With Python And R Ingest, Transform, Enrich, And Visualize Data Using The Power Of Analytical Languages-Fabricante : Packt Publishing-Descripcion Original: Perform more advanced analysis and manipulation of your data beyond what Power BI can do to unlock valuable insights using Python and R Key Features Get the most out of Python and R with Power BI by implementing non-trivial code Leverage the toolset of Python and R chunks to inject scripts into your Power BI dashboards Implement new techniques for ingesting, enriching, and visualizing data with Python and R in Power BI Book Description Python and R allow you to extend Power BI capabilities to simplify ingestion and transformation activities, enhance dashboards, and highlight insights. With this book, youll be able to make your artifacts far more interesting and rich in insights using analytical languages. Youll start by learning how to configure your Power BI environment to use your Python and R scripts. The book then explores data ingestion and data transformation extensions, and advances to focus on data augmentation and data visualization. Youll understand how to import data from external sources and transform them using complex algorithms. The book helps you implement personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. Youll be able to call external APIs to enrich your data much more quickly using Python programming and R programming. Later, youll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. Youll also understand the main statistical features of datasets by plotting multiple visual graphs in the process of creating a machine learning model. By the end of this book, youll be able to enrich your Power BI data models and visualizations using complex algorithms in Python and R. What you will learn Discover best practices for using Python and R in Power BI products Use Python and R to perform complex data manipulations in Power BI Apply data anonymization and data pseudonymization in Power BI Log data and load large datasets in Power BI using Python and R Enrich your Power BI dashboards using external APIs and machine learning models Extract insights from your data using linear optimization and other algorithms Handle outliers and missing values for multivariate and time-series data Create any visualization, as complex as you want, using R scripts Who this book is for This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power BI and want to add more value to their analysis using Python and R. Working knowledge of Power BI is required to make the most of this book. Basic knowledge of Python and R will also be helpful. Table of Contents Where and How to Use R and Python Scripts in Power BI Configuring R with Power BI Configuring Python with Power BI Importing Unhandled Data Objects Using Regular Expressions in Power BI Anonymizing and Pseudonymizing Your Data in Power BI Logging Data From Power BI To External Sources Loading Large Datasets Beyond the Available RAM in Power BI Calling External APIs to Enrich Your Data Calculating Columns Using Complex Algorithms Adding Statistics Insights: Associations Adding Statistics Insights: Outliers and Missing Values Using Machine Learning Without Premium or Embedded Capacity Exploratory Data Analysis Advanced Visualizations Interactive R Custom Visuals Review R and Python integration in Power BI have been around for years but this book goes beyond the superficial aspects. Mainly focusing on advanced analytics and data science, Luca provides an experienced practitioner’s point of view on this broad topic, compared to a canonical Power BI developer. If you work with Power BI on a daily basis, you will discover innovative new approaches throughout this book. Many arcane parts of R and Python integration will be made much more clear. Data analysts often accidentally meet R and Python during their journey through Power BI...

-Titulo Original : Data Engineering With Apache Spark, Delta Lake, And Lakehouse Create Scalable Pipelines That Ingest, Curate, And Aggregate Complex Data In A Timely And Secure Way-Fabricante : Packt Publishing-Descripcion Original: Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big data Key Features Become well-versed with the core concepts of Apache Spark and Delta Lake for building data platforms Learn how to ingest, process, and analyze data that can be later used for training machine learning models Understand how to operationalize data models in production using curated data Book Description In the world of ever-changing data and schemas, it is important to build data pipelines that can auto-adjust to changes. This book will help you build scalable data platforms that managers, data scientists, and data analysts can rely on. Starting with an introduction to data engineering, along with its key concepts and architectures, this book will show you how to use Microsoft Azure Cloud services effectively for data engineering. Youll cover data lake design patterns and the different stages through which the data needs to flow in a typical data lake. Once youve explored the main features of Delta Lake to build data lakes with fast performance and governance in mind, youll advance to implementing the lambda architecture using Delta Lake. Packed with practical examples and code snippets, this book takes you through real-world examples based on production scenarios faced by the author in his 10 years of experience working with big data. Finally, youll cover data lake deployment strategies that play an important role in provisioning the cloud resources and deploying the data pipelines in a repeatable and continuous way. By the end of this data engineering book, youll know how to effectively deal with ever-changing data and create scalable data pipelines to streamline data science, ML, and artificial intelligence (AI) tasks. What you will learn Discover the challenges you may face in the data engineering world Add ACID transactions to Apache Spark using Delta Lake Understand effective design strategies to build enterprise-grade data lakes Explore architectural and design patterns for building efficient data ingestion pipelines Orchestrate a data pipeline for preprocessing data using Apache Spark and Delta Lake APIs Automate deployment and monitoring of data pipelines in production Get to grips with securing, monitoring, and managing data pipelines models efficiently Who this book is for This book is for aspiring data engineers and data analysts who are new to the world of data engineering and are looking for a practical guide to building scalable data platforms. If you already work with PySpark and want to use Delta Lake for data engineering, youll find this book useful. Basic knowledge of Python, Spark, and SQL is expected. Table of Contents The Story of Data Engineering and Analytics Discovering Storage and Compute Data Lake Architectures Data Engineering on Microsoft Azure Understanding Data Pipelines Data Collection Stage - The Bronze Layer Understanding Delta Lake Data Curation Stage - The Silver Layer Data Aggregation Stage - The Gold Layer Deploying and Monitoring Pipelines in Production Solving Data Engineering Challenges Infrastructure Provisioning Continuous Integration and Deployment (CI/CD) of Data Pipelines Review A great book to dive into data engineering! This book adds immense value for those who are interested in Delta Lake, Lakehouse, Databricks, and Apache Spark. It also explains different layers of data hops. I would recommend this book for beginners and intermediate-range developers who are looking to get up to speed with new data engineering trends with Apache Spark, Delta Lake, Lakehouse, and Azure. Worth buying! - Ram Ghadiyaram, VP, JPMorgan Chase & Co. About the Author Manoj Kukreja is a Principal Architect at Northbay Solutions who specializes in creating complex Data Lakes and Data Analytics Pipelines for large-scale organizations such as banks, i...

-Titulo Original : Mastering Transformers Build State-of-the-art Models From Scratch With Advanced Natural Language Processing Techniques-Fabricante : Packt Publishing-Descripcion Original: Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP Key Features Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems Solve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AI Monitor your models performance with the help of BertViz, exBERT, and TensorBoard Book Description Transformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, youll learn how to build various transformer-based NLP applications using the Python Transformers library. The book gives you an introduction to Transformers by showing you how to write your first hello-world program. Youll then learn how a tokenizer works and how to train your own tokenizer. As you advance, youll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. Youll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. Youll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, youll be able to deploy your transformer models in a production environment. By the end of this NLP book, youll have learned how to use Transformers to solve advanced NLP problems using advanced models. What you will learn Explore state-of-the-art NLP solutions with the Transformers library Train a language model in any language with any transformer architecture Fine-tune a pre-trained language model to perform several downstream tasks Select the right framework for the training, evaluation, and production of an end-to-end solution Get hands-on experience in using TensorBoard and Weights & Biases Visualize the internal representation of transformer models for interpretability Who this book is for This book is for deep learning researchers, hands-on NLP practitioners, as well as ML/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book. Table of Contents From Bag-of-Words to the Transformers A Hands-On Introduction to the Subject Autoencoding Language Models Autoregressive and Other Language Models Fine-Tuning Language Models for Text Classification Fine-Tuning Language Models for Token Classification Text Representation Working with Efficient Transformers Cross-Lingual and Multilingual Language Modeling Serving Transformer Models Attention Visualization and Experiment Tracking Review In recent years, the combination of large-scale language models, based on transformers, with transfer learning techniques has played a crucial role in the advancement of the Natural Language Processing field. This book offers a gentle introduction to transformer architectures, starting from the building blocks of these networks and diving into practical and diverse applications. It is a great read for both NLP researchers and industry practitioners. Students with beginner-level knowledge of machine learning can easily pick up this book and demystify the methods that brought so many breakthroughs, but there is also a lot of valuable information for more advanced readers. Review Transformers rule for a lot of NLP tasks now, and this is a great book about them. Beginners will appreciate clear explanations and experienced prog...

-Titulo Original : Securing Remote Access In Palo Alto Networks Practical Techniques To Enable And Protect Remote Users, Improve Your Security Posture, And Troubleshoot Next-generation Firewalls-Fabricante : Packt Publishing-Descripcion Original: Explore everything you need to know to set up secure remote access, harden your firewall deployment, and protect against phishing Key Features Learn the ins and outs of log forwarding and troubleshooting issues Set up GlobalProtect satellite connections, configure site-to-site VPNs, and troubleshoot LSVPN issues Gain an in-depth understanding of user credential detection to prevent data leaks Book Description This book builds on the content found in Mastering Palo Alto Networks, focusing on the different methods of establishing remote connectivity, automating log actions, and protecting against phishing attacks through user credential detection. Complete with step-by-step instructions, practical examples, and troubleshooting tips, you will gain a solid understanding of how to configure and deploy Palo Alto Networks remote access products. As you advance, you will learn how to design, deploy, and troubleshoot large-scale end-to-end user VPNs. Later, you will explore new features and discover how to incorporate them into your environment. By the end of this Palo Alto Networks book, you will have mastered the skills needed to design and configure SASE-compliant remote connectivity and prevent credential theft with credential detection. What you will learn Understand how log forwarding is configured on the firewall Focus on effectively enabling remote access Explore alternative ways for connecting users and remote networks Protect against phishing with credential detection Understand how to troubleshoot complex issues confidently Strengthen the security posture of your firewalls Who this book is for This book is for anyone who wants to learn more about remote access for users and remote locations by using GlobalProtect and Prisma access and by deploying Large Scale VPN. Basic knowledge of Palo Alto Networks, network protocols, and network design will be helpful, which is why reading Mastering Palo Alto Networks is recommended first to help you make the most of this book. Table of Contents Centralizing logs Configuring Advanced GlobalProtect Features Setting up site-to-site VPNs and Large Scale VPNs Configuring Prisma Access Enabling features to improve your security posture Anti Phishing with User Credential Detection Practical troubleshooting and Best Practice Tools Review A well-written missing manual with lots of details on the how/why of many settings needed to build a secure remote access solution with Palo Alto Networks NGFWs. And for those people who have chosen Prisma Access to solve two problems in one go, remote access to corporate resources AND secure internet access for those remote users, there is a chapter on that as well. What surprised me was that its not just about remote access in all its forms and shapes, it also covers Logging, Centralized Management with Panorama, how to improve your security posture and even troubleshoot most of this. Dont get me wrong, this is GOOD news, but the title of the book is not revealing all the gems it contains. Anyone just starting with Palo Alto Networks NGFWs and related devices/services, this is a MUST-read! And even for those who arent new to it anymore, chances are youll still learn something new. -- Florian Buijs (Channel Systems Engineer at PaloAlto Networks) About the Author Tom Piens, PCNSE, CISSP, and founder of PANgurus, has over 10 years of experience working with Palo Alto Networks customers. Tom has been on the forefront of engaging with customers, responding to questions, and analyzing unique needs to apply the best possible solutions or workarounds. He has authored a great many articles on the Palo Alto Networks knowledge base and discussion forum solutions, and a book, Mastering Palo Alto Networks. Also known as reaper on the PANgurus and LIVEcommunity forums, and PANWreaper on Twitter, Tom has been recognized by Palo Alto Networks user groups and community members, and by countless thankful custo...

-Titulo Original : Python Object-oriented Programming Build Robust And Maintainable Object-oriented Python Applications And Libraries, 4th Edition-Fabricante : Packt Publishing-Descripcion Original: A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book Description Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9 syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Pythons classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Pythons exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Pythons concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs. What you will learn Implement objects in Python by creating classes and defining methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who this book is for If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary. Table of Contents Object-Oriented Design Objects in Python When Objects Are Alike Expecting the Unexpected When to Use Object-Oriented Programming Abstract Base Classes and Operator Overloading Python Data Structures The Intersection of Object-Oriented and Functional Programming Strings, Serialization, and File Paths The Iterator Pattern Common Design Patterns Advanced Design Patterns Testing Object-Oriented Programs Concurrency About the Author Steven F. Lott has been programming since the 70s, when computers were large, expensive, and rare. As a contract software developer and architect, he has worked on hundreds of projects, from very small to very large. Hes been using Python to solve business problems for almost 20 years. Dusty Phillips is a Canadian software developer and an author currently living in New Brunswick. He has been active in the open-source community for 2 decades and has been programming in Python for nearly as long. He holds a masters degree in computer science and has worked for , the United Nations, and several startups...

-Titulo Original : Conversational Ai With Rasa Build, Test, And Deploy Ai-powered, Enterprise-grade Virtual Assistants And Chatbots-Fabricante : Packt Publishing-Descripcion Original: Create next-level AI assistants and transform how customers communicate with businesses with the power of natural language understanding and dialogue management using Rasa Key Features Understand the architecture and put the underlying principles of the Rasa framework to practice Learn how to quickly build different types of chatbots such as task-oriented, FAQ-like, and knowledge graph-based chatbots Explore best practices for working with Rasa and its debugging and optimizing aspects Book Description The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source. Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work - Rasa NLU (natural language understanding) and Rasa Core. Youll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, youll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, youll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, youll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system. By the end of this book, youll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle. What you will learn Use the response selector to handle chitchat and FAQs Create custom actions using the Rasa SDK Train Rasa to handle complex named entity recognition Become skilled at building custom components in the Rasa framework Validate and test dialogs end to end in Rasa Develop and refine a chatbot system by using conversation-driven deployment processing Use TensorBoard for tuning to find the best configuration options Debug and optimize dialogue systems based on Rasa Who this book is for This book is for NLP professionals as well as machine learning and deep learning practitioners who have knowledge of natural language processing and want to build chatbots with Rasa. Anyone with beginner-level knowledge of NLP and deep learning will be able to get the most out of the book. Table of Contents Introduction to Chatbots and the Rasa Framework Natural Language Understanding in Rasa Rasa Core Handling Business Logic Working with Response Selector to Handle chitchat and FAQs Knowledge Base Actions to Handle Question Answering Entity Roles and Groups for Complex Named Entity Recognition Customization of Rasa Testing and Production Deployment Conversation-Driven Development and Interactive Learning Debugging, Optimization, and the Community Ecosystem Review Conversational AI with Rasa covers precisely the topics required to become proficient at building real-world applications with Rasa. Aside from covering the fundamentals of natural language understanding and dialogue management, the book emphasizes the real-world context of building great products. This book will be of great use for anyone starting out as a Rasa developer, and Im sure many existing Rasa developers will discover things they didnt know. -- Alan Nichol, Co-founder and CTO, Rasa About the Author Xiaoquan Kong is a machine learning expert specializing in NLP applications. He has extensive experience of leading teams to build NLP platforms for several Fortune Global 500 companies. He is a Google Developer Expert in machine learning and has been actively involved in contributing to TensorFlow for many years. He ...