-Titulo Original : Mining The Social Web Data Mining , Twitter, Linkedin, , Github, And More-Fabricante : OReilly Media-Descripcion Original: Mine the rich data tucked away in popular social websites such as Twitter, , LinkedIn, and . With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who’s connecting with whom, what they’re talking about, and where they’re located-using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering . Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter’s example code, packaged as a Jupyter notebook Adapt and contribute to the code’s open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits About the Author Matthew Russell (@ptwobrussell) is Chief Technology Officer at Built Technologies, where he leads a team of leaders on a mission to improve the way the world is built. Outside of work, he contemplates ultimate reality, practices rugged individualism, and trains for the possibilities of a zombie or robot apocalypse. Mikhail Klassen is Chief Data Scientist at Paladin AI, a startup creating adaptive training technologies. He has a PhD in computational astrophysics from McMaster University and a BS in applied physics from Columbia University. Mikhail is passionate about artificial intelligence and how the tools of data science can be used for good. When not working at a startup, hes usually reading or traveling...

-Titulo Original : Machine Learning And Security: Protecting Systems With Data And Algorithms-Fabricante : OReilly Media-Descripcion Original: Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions About the Author Clarence Chio is an engineer and entrepreneur who has given talks, workshops, and training courses on machine learning and security at DEF CON and other security/software engineering conferences and meetups across more than a dozen countries. He was previously a member of the security research team at Shape Security, a community speaker with Intel, and a security consultant for Oracle. Clarence advises a handful of startups on security data science, and is the founder and organizer of the Data Mining for Cyber Security meetup group, the largest gathering of security data scientists in the San Francisco Bay area. He holds a BS and MS in computer science from Stanford University, specializing in data mining and artificial intelligence. David Freeman is a research scientist/engineer at working on spam and abuse problems. He previously led anti-abuse engineering and data science teams at LinkedIn, where he built statistical models to detect fraud and abuse and worked with the larger machine learning community at LinkedIn to build scalable modeling and scoring infrastructure. He is an author, presenter, and organizer at international conferences on machine learning and security, such as NDSS, WWW, and AISec, and has published more than twenty academic papers on mathematical and statistical aspects of computer security. He holds a PhD in mathematics from UC Berkeley and did postdoctoral research in cryptography and security at CWI and Stanford University...

-Titulo Original : Ansible Up And Running Automating Configuration Management And Deployment The Easy Way-Fabricante : OReilly Media-Descripcion Original: Among the many configuration management tools available, Ansible has some distinct advantages-it’s minimal in nature, you don’t need to install anything on your nodes, and it has an easy learning curve. With this updated second edition, you’ll learn how to be productive with this tool quickly, whether you’re a developer deploying code to production or a system administrator looking for a better automation solution. Authors Lorin Hochstein and Rene Moser show you how to write playbooks (Ansible’s configuration management scripts), manage remote servers, and explore the tool’s real power: built-in declarative modules. You’ll discover that Ansible has the functionality you need-and the simplicity you desire. Manage Windows machines, and automate network device configuration Manage your fleet from your web browser with Ansible Tower Understand how Ansible differs from other configuration management systems Use the YAML file format to write your own playbooks Work with a complete example to deploy a non-trivial application Deploy applications to Amazon EC2 and other cloud platforms Create Docker images and deploy Docker containers with Ansible This book is best read start to finish, with later chapters building on earlier ones. Because it’s written in a tutorial style, you can follow along on your own machine. Most examples focus on web applications. About the Author Lorin Hochstein is a Lead Software Engineer at SendGrid Labs where he works on developing and deploying new products designed to make developers lives easier.Before joining SendGrid, Lorin was the Lead Architect for Cloud Services at Nimbis Services, a Computer Scientist at the University of Californias Information Sciences Institute, and an Assistant Professor in the Department of Computer Science and Engineering at the University of Nebraska-Lincoln. Once upon a time, he conducted human subject experiments with programmers, but he hardly ever does that anymore, and his books are almost certainly not part of some elaborate software engineering experiment, why would you even think such a thing?Lorin has a B.Eng. in Computer Engineering from McGill University, an M.S. in Electrical Engineering from Boston University, and a PhD in Computer Science from the University of Maryland. Rene Moser is living in Switzerland with his wife and 3 kids, likes simple things that work and scale and earned an Advanced Diplomaof Higher Education in IT. He has been engaged in the Open Sourcecommunity since 15 years, recently as an ASF CloudStack Committer and as the author of the Ansible CloudStack integration with over 30 CloudStack modules. He became an Ansible Community Core Member in April 2016 and is currently a Senior System Engineer at SwissTXT...

-Titulo Original : Learning PHP, MySQL & JavaScript: With JQuery, CSS & HTML5 (Learning PHP, MYSQL, Javascript, CSS & HTML5)-Fabricante : OReilly Media-Descripcion Original: Build interactive, data driven websites with the potent combination of open source technologies and web standards, even if you have only basic HTML knowledge. In this update to this popular hands on guide, you’ll tackle dynamic web programming with the latest versions of today’s core technologies: PHP, MySQL, JavaScript, CSS, HTML5, and key jQuery libraries. Web designers will learn how to use these technologies together and pick up valuable web programming practices along the way-including how to optimize websites for mobile devices. At the end of the book, you’ll put everything together to build a fully functional social networking site suitable for both desktop and mobile browsers. Explore MySQL, from database structure to complex queries Use the MySQLi extension, PHP’s improved MySQL interface Create dynamic PHP web pages that tailor themselves to the user Manage cookies and sessions and maintain a high level of security Enhance the JavaScript language with jQuery and jQuery mobile libraries Use Ajax calls for background browser server communication Style your web pages by acquiring CSS2 and CSS3 skills Implement HTML5 features, including geolocation, audio, video, and the canvas element Reformat your websites into mobile web apps About the Author Robin Nixon has worked with and written about computers since the early 1980s (his first computer was a Tandy TRS 80 Model 1 with a massive 4KB of RAM!). One of the web sites he developed presented the worlds first radio station licensed by the music copyright holders. In order to enable people to continue to surf while listening, Robin also developed the first known pop-up windows. He has also worked full time for one of Britains main IT magazine publishers, where he held several roles including editorial, promotions, and cover disc editing...

-Titulo Original : Genomics In The Cloud: Using Docker, GATK, And WDL In Terra-Fabricante : OReilly Media-Descripcion Original: Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50 petabytes-or over 50 million gigabytes-of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra From the Back Cover This book captures the essence of what we have learned about bringing genomics to the cloud. And it lays out an accessible path for newcomers to join this exciting and important ecosystem. --Eric S. Lander, Founding Director,The Broad Institute of MIT and Harvard This is a great primer on reproducible bioinformatics in the cloud. Geraldine andBrian are at the forefront of this field so we are learning from the best. --Jessica Maia, Data Scientist, BD About the Author Dr. Geraldine A. Van der Auwera is the Director of Outreach and Communication for the Data Sciences Platform (DSP) at the Broad Institute of MIT and Harvard. As part of her outreach role, she serves as an educator and advocate for researchers who use DSP software and services including GATK, the Broads industry-leading toolkit for variant discovery analysis; the Cromwell/WDL workflow management system; and Terra.bio, a cloud-based analysis platform that integrates computational resources, methods repository and data management in a user-friendly environment. Van der Auwera was originally trained as a microbiologist, earning her Ph.D. in Biological Engineering from the Universite catholique de Louvain (UCL) in Belgium in 2007, then surviving a 4-year postdoctoral stint at Harvard Medical School. She joined the Broad Institute in 2012 to become Benevolent Dictator For Life of the GATK user community, leaving behind the bench and pipette work forever. Dr. Brian O’Connor is the Director of the Computational Genomics Platform at the University of California Santa Cruz (UCSC) Genomics Institute. There, he focuses on the development and deployment of large-scale, cloud-based systems for analyzing genomic data. These include the NHGRI AnVIL and NHLBI Bio Data Catalyst platformsas well as the Dockstore site for workflow and tool sharing. Brian is active in standards efforts and is the cochair of the Global Alliance for Genomics and Health Cloud Work Stream where he works on API standards for cloud interoperability. Brian joined UCSC from the Ontario Institute for Cancer Research where his previous projects included leading the technical implementation of worldwide, cloud-based analysis systems for the PanCancer Analysis of Whole Genomes project, creating the Dockstore, and managing a successful rebuild of the International Cancer Genome Consortium’s Data Portal...

-Titulo Original : Head First Android Development: A Brain-Friendly Guide-Fabricante : OReilly Media-Descripcion Original: What will you learn from this book? If you have an idea for a killer Android app, this fully revised and updated edition will help you build your first working application in a jiffy. You’ll learn hands-on how to structure your app, design flexible and interactive interfaces, run services in the background, make your app work on various smartphones and tablets, and much more. It’s like having an experienced Android developer sitting right next to you! All you need to get started is some Java know-how. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Android Development uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works. About the Author Dawn Griffiths started life as a mathematician at a top UK university where she was awarded a First-Class Honours degree in Mathematics. She went on to pursue a career in software development, and has over 15 years experience working in the IT industry. Dawn has written several books, including Head First C, Head First Statistics and Head First 2D Geometry. David Griffiths began programming at age 12, after being inspired by a documentary on the work of Seymour Papert. At age 15 he wrote an implementation of Paperts computer language LOGO. After studying Pure Mathematics at University, he began writing code for computers and magazine articles for humans and he is currently an agile coach with Exoftware in the UK, helping people to create simpler, more valuable software. He spends his free time traveling and time with his lovely wife, Dawn...

-Titulo Original : Applied Text Analysis With Python Enabling Language-aware Data Products With Machine Learning-Fabricante : OReilly Media-Descripcion Original: From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity About the Author Benjamin Bengfort is a Data Scientist who lives inside the beltway but ignores politics (the normal business of DC) favoring technology instead. He is currently working to finish his PhD at the University of Maryland where he studies machine learning and distributed computing. His lab does have robots (though this field of study is not one he favors) and, much to his chagrin, they seem to constantly arm said robots with knives and tools; presumably to pursue culinary accolades. Having seen a robot attempt to slice a tomato, Benjamin prefers his own adventures in the kitchen where he specializes in fusion French and Guyanese cuisine as well as BBQ of all types. A professional programmer by trade, a Data Scientist by vocation, Benjamins writing pursues a diverse range of subjects from Natural Language Processing, to Data Science with Python to analytics with Hadoop and Spark. Dr. Rebecca Bilbro is a data scientist, Python programmer, and author in Washington, DC. She specializes in data visualization for machine learning, from feature analysis to model selection and hyperparameter tuning. She is an active contributor to the open source community and has conducted research on natural language processing, semantic network extraction, entity resolution, and high dimensional information visualization. She earned her doctorate from the University of Illinois, Urbana-Champaign, where her research centered on communication and visualization practices in engineering. Tony is the founder of District Data Labs and focuses on applied analytics for business strategy. He has published a book on practical data science, and has experience with hands-on education and data science curricula...

-Titulo Original : Storytelling In Design Defining, Designing, And Selling Multidevice Products-Fabricante : OReilly Media-Descripcion Original: With the wide variety of devices, touch points, and channels in use, your ability to control how people navigate your well-crafted experiences is fading. Yet it’s still important to understand where people are in their journey if you’re to deliver the right content and interactions atthe right time and on the right device. This practical guide shows you how storytelling can make a powerful difference in product design. Author Anna Dahlstrom details the many ways you can use storytelling in your projects and throughout your organization. By applying tried-and-tested principles from film and fiction to the context of design and business, you’ll learn to create great product experiences. Learn how the anatomy of a great story can make a difference in product design Explore how traditional storytelling principles, tools, and methods relate to key product design aspects Understand how purposeful storytelling helps tell the right story and move people into action Use storytelling principles to tell, sell, and present your work About the Author Anna Dahlstrom is a Swedish UX designer based in London. She’s the founder of the UX design school UX Fika. Since 2001 she has worked client side, for agencies, and for startups on a large variety of brands and projects, from websites and apps to bots and TV UIs. She’s a regular speaker and holds a MSc in Computer Science and Business Administration from Copenhagen Business School...

-Titulo Original : The Oreilly Animals An Adult Coloring Book-Fabricante : OReilly Media-Descripcion Original: O’Reilly Media is unique among tech book publishers for its iconic animal covers. Everything from tarsiers, bears, camels, and big cats to a variety of birds, fish, anemones, and insects have graced O’Reilly book covers since the late 1980s. Now, with this high-quality coloring book, you can put your own spin on this group of classic prints. The coloring book includes 12 images from the O’Reilly Animal image archive, converted for coloring by OReilly designer Karen Montgomery. These beautiful reproductions of 19th century engravings are printed on heavyweight paper with nothing on the back to compromise your own colorful masterpieces. This isn’t your kid’s coloring book. Take it out when you need a break and give the left side of your brain a chance to express itself for a change. Relax, have some fun, and create your own animal menagerie-in color. About the Author OReilly Media, Inc. spreads the knowledge of innovators through its books, online services, magazines, research, and conferences. Since 1978, OReilly has been a chronicler and catalyst of leading-edge development, homing in on the technology trends that really matter and galvanizing their adoption by amplifying faint signals from the alpha geeks who are creating the future. An active participant in the technology community, the company has a long history of advocacy, meme-making, and evangelism...

-Titulo Original : Electronics Cookbook Practical Electronic Recipes With Arduino And Raspberry Pi-Fabricante : OReilly Media-Descripcion Original: If you’re among the many hobbyists and designers who came to electronics through Arduino and Raspberry Pi, this cookbook will help you learn and apply the basics of electrical engineering without the need for an EE degree. Through a series of practical recipes, you’ll learn how to solve specific problems while diving into as much or as little theory as you’re comfortable with. Author Simon Monk (Raspberry Pi Cookbook) breaks down this complex subject into several topics, from using the right transistor to building and testing projects and prototypes. With this book, you can quickly search electronics topics and go straight to the recipe you need. It also serves as an ideal reference for experienced electronics makers. This cookbook includes: Theoretical concepts such as Ohm’s law and the relationship between power, voltage, and current The fundamental use of resistors, capacitors and inductors, diodes, transistors and integrated circuits, and switches and relays Recipes on power, sensors and motors, integrated circuits, and radio frequency for designing electronic circuits and devices Advice on using Arduino and Raspberry Pi in electronics projects How to build and use tools, including multimeters, oscilloscopes, simulations software, and unsoldered prototypes About the Author Simon Monk is a full-time author and maker, mostly writing about electronics for makers. Some of his better-known books include Programming Arduino: Getting Started with Sketches, Raspberry Pi Cookbook, and Hacking Electronics. He is also the co-author of Practical Electronics for Inventors and wrote Minecraft Mastery with his son, Matthew Monk...

-Titulo Original : Feature Engineering For Machine Learning Principles And Techniques For Data Scientists-Fabricante : OReilly Media-Descripcion Original: Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features-the numeric representations of raw data-into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques About the Author Alice is a technical leader in the field of Machine Learning. Her experience spans algorithm and platform development and applications. Currently, she is a Senior Manager in Amazons Ad Platform. Previous roles include Director of Data Science at GraphLab/Dato/Turi, machine learning researcher at Microsoft Research, Redmond, and postdoctoral fellow at Carnegie Mellon University. She received a Ph.D. in Electrical Engineering and Computer science, and B.A. degrees in Computer Science in Mathematics, all from U.C. Berkeley...

-Titulo Original : Getting Started With Bluetooth Low Energy Tools And Techniques For Low-power Networking-Fabricante : OReilly Media-Descripcion Original: With Bluetooth Low Energy (BLE), smart devices are about to become even smarter. This practical guide demonstrates how this exciting wireless technology helps developers build mobile apps that share data with external hardware, and how hardware engineers can gain easy and reliable access to mobile operating systems. This book provides a solid, high-level overview of how devices use BLE to communicate with each other. You’ll learn useful low-cost tools for developing and testing BLE-enabled mobile apps and embedded firmware and get examples using various development platforms-including iOS and Android for app developers and embedded platforms for product designers and hardware engineers. Understand how data is organized and transferred by BLE devices Explore BLE’s concepts, key limitations, and network topology Dig into the protocol stack to grasp how and why BLE operates Learn how BLE devices discover each other and establish secure connections Set up the tools and infrastructure for BLE application development Get examples for connecting BLE to iPhones, iPads, Android devices, and sensors Develop code for a simple device that transmits heart rate data to a mobile device About the Author Kevin Townsend specializes in embedded design and development around the ARM Cortex M family of microprocessors, and has a long-standing interest in low-power wireless communication. Hes active in the open source hardware world as lead engineer at Adafruit Industries, where his job is taking interesting technologies in the embedded engineering space and getting them into the hands of domain experts in other fields to see what interesting solutions they can come up with when technology becomes invisible. Carles Cufi has been involved with Bluetooth since the year 2000. Starting at Parrot in Paris with version 1.0 of the specification, he wrote one of the first protocol stacks to be shipped on a commercial product, and he has been involved with the development and implementation of Bluetooth devices and systems ever since. He is currently employed by Nordic Semiconductor, where he is responsible for the Bluetooth Low Energy Application Programming Interfaces offered to the developers using the nRF51 family of Integrated Circuits. Akiba has been involved in wireless sensor networks since 2003. He wrote FreakZ, an open source Zigbee protocol stack, and also Chibi, an open source 802.15.4 protocol stack. Hes a researcher for Keio University in the Internet and Society research group, and is a design consultant to the United Nations. His specialty and interest is in sensor networks for environmental monitoring. He currently runs FreakLabs, an open source wireless company, and is working on a hackerspace in the Japanese countryside called Hackerfarm. Robert Davidson’s passion in life is to apply what he knows about technology to solve real problems for people. He especially enjoys applications that use sensors to connect the physical world to computers and the Internet. He runs Ambient Sensors, a company focused on sensors and wireless sensor networks, and has a strong interest in the development of startup companies (and the scars to prove it). He especially enjoys sharing his interests and expertise with others...

-Titulo Original : Algorithms In A Nutshell A Practical Guide-Fabricante : OReilly Media-Descripcion Original: Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. This updated edition of Algorithms in a Nutshell describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right algorithm for your needs-with just enough math to let you understand and analyze algorithm performance. With its focus on application, rather than theory, this book provides efficient code solutions in several programming languages that you can easily adapt to a specific project. Each major algorithm is presented in the style of a design pattern that includes information to help you understand why and when the algorithm is appropriate. With this book, you will: Solve a particular coding problem or improve on the performance of an existing solution Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use Get algorithmic solutions in C, C, Java, and Python with implementation tips Learn the expected performance of an algorithm, and the conditions it needs to perform at its best Discover the impact that similar design decisions have on different algorithms Learn advanced data structures to improve the efficiency of algorithms About the Author George Heineman is an Associate Professor of Computer Science at WPI. His research interests are in Software Engineering. He co-edited the 2001 book Component-Based Software Engineering: Putting the Pieces Together. He was the Program Chair for the 2005 International Symposium on Component-Based Software Engineering. Gary Pollice is a self-labeled curmudgeon (thats a crusty, ill- tempered, usually old man) who spent over 35 years in industry trying to figure out what he wanted to be when he grew up. Even though he hasnt grown up yet, he did make the move in 2003 to the hallowed halls of academia where he has been corrupting the minds of the next generation of software developers with radical ideas like, develop software for your customer, learn how to work as part of a team, design and code quality and elegance and correctness counts, and its okay to be a nerd as long as you are a great one. Gary is also a co-author of Head First Object-Oriented Analysis and Design.Gary is a Professor of Practice (meaning he had a real job before becoming a professor) at Worcester Polytechnic Institute. He went to WPI because he was so impressed with the WPI graduates that hes worked with over the years. He lives in central Massachusetts with his wife, Vikki, and their two dogs, Aloysius and Ignatius. When not working on geeky things he ... well hes always working on geeky things. You can see what hes up to by visiting his WPI home page at . Feel free to drop him a note and complain or cheer about the book. Stanley Selkow received a BS in Electrical Engineering from Carnegie Institute of Technology in 1965, and then a Ph.D. in the same area from the University of Pennsylvania in 1970. From 1968 to 1970 he was in the Public Health Service at the National Institutes of Health at Bethesda Maryland. Since 1970 he has been on the faculty at universities in Knoxville TN and Worcester MA, as well as Montreal, Chonqing, Lausanne and Paris. His major research has been in graph theory and algorithm design...

-Titulo Original : Data Wrangling With Python Tips And Tools To Make Your Life Easier-Fabricante : OReilly Media-Descripcion Original: How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You dont need to know a thing about the Python programming language to get started. Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain. Quickly learn basic Python syntax, data types, and language concepts Work with both machine-readable and human-consumable data Scrape websites and APIs to find a bounty of useful information Clean and format data to eliminate duplicates and errors in your datasets Learn when to standardize data and when to test and script data cleanup Explore and analyze your datasets with new Python libraries and techniques Use Python solutions to automate your entire data-wrangling process About the Author Jacqueline Kazil is a data lover. In her career, she has worked in technology focusing in finance, government, and journalism. Most notably, she is a former Presidential Innovation Fellow and co-founded a technology organization in government called 18F. Her career has consisted of many data science and wrangling projects including Geoq, an open source mapping workflow tool, Congress.gov remake, and Top Secret America. She is active in the Python and data related communities -- Python Software Foundation, PyLadies, Women Data Science DC, and more. She teaches Python in Washington, D.C. at meetups, conferences, and mini bootcamps. She often pair programs with her sidekick, Ellie (@ellie_the_brave). You can find her on Twitter @jackiekazil or follow her blog, The coderSnorts (). Katharine Jarmul is a Python developer who enjoys data analysis and acquisition, web scraping, teaching Python and all things Unix. She has worked at small and large start ups before starting her consulting career overseas. Originally from Los Angeles, she learned Python while working at the Washington Post in 2008. As one of the founders of PyLadies (), Katharine hopes to promote diversity in Python and other open source languages through education and training. She has led numerous workshops and tutorials ranging from beginner to advanced topics in Python. For more information on upcoming trainings, reach out to her on Twitter () or her her web site ()...

-Titulo Original : Learning Node Moving To The Server-side-Fabricante : OReilly Media-Descripcion Original: Take your web development skills from browser to server with Node-and learn how to write fast, highly scalable network applications on this JavaScript-based platform. Updated for the latest Node Long Term Support (LTS) and Node Current (6.0) releases, this hands-on edition helps you master Node’s core fundamentals and gain experience with several built-in and contributed modules. Get up to speed on Node’s event-driven, asynchronous I/O model for developing data-intensive applications that are frequently accessed but computationally simple. If you’re comfortable working with JavaScript, this book provides many programming and deployment examples to help you take advantage of server-side development with Node. Explore the frameworks and functionality for full-stack Node development Dive into Node’s module system and package management support Test your application or module code on the fly with Node’s REPL console Use core Node modules to build web applications and an HTTP server Learn Node’s support for networks, security, and sockets Access operating system functionality with child processes Learn tools and techniques for Node development and production Use Node in microcontrollers, microcomputers, and the Internet of Things About the Author Shelley Powers has been working with, and writing about, web technologies--from the first release of JavaScript to the latest graphics and design tools--for more than 12 years. Her recent OReilly books have covered the semantic web, Ajax, JavaScript, and web graphics. Shes an avid amateur photographer and web development aficionado, who enjoys applying her latest experiments on her many web sites...

-Titulo Original : Learning Unix For Os X Going Deep With The Terminal And Shell-Fabricante : OReilly Media-Descripcion Original: Think your Mac is powerful now? This practical guide shows you how to get much more from your system by tapping into Unix, the robust operating system concealed beneath OS X’s beautiful user interface. OS X puts more than a thousand Unix commands at your fingertips-for finding and managing files, remotely accessing your Mac from other computers, and using freely downloadable open source applications. If you’re an experienced Mac user, this updated edition teaches you all the basic commands you need to get started with Unix. You’ll soon learn how to gain real control over your system. Get your Mac to do exactly what you want, when you want Make changes to your Mac’s filesystem and directories Use Unix’s find, locate, and grep commands to locate files containing specific information Create unique super commands to perform tasks that you specify Run multiple Unix programs and processes at the same time Access remote servers and interact with remote filesystems Install the X Window system and learn the best X11 applications Take advantage of command-line features that let you shorten repetitive tasks About the Author Dave Taylor is a popular writer focused on both business and technology. A thirty year veteran of the Unix world, hes a columnist for Linux Journal and writes extensively about gadgets and technology at AskDaveTaylor . Founder of four Internet startups, author of twenty books, hes also an award-winning public speaker and film critic, when hes not busy being single dad to his three children...

-Titulo Original : Getting Started With Sql A Hands-on Approach For Beginners-Fabricante : OReilly Media-Descripcion Original: Businesses are gathering data today at exponential rates and yet few people know how to access it meaningfully. If you’re a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases. Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you’ll also discover how to efficiently design and manage databases to meet your needs. You’ll also learn how to: Explore relational databases, including lightweight and centralized models Use SQLite and SQLiteStudio to create lightweight databases in minutes Query and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BY Join tables to get a more complete view of your business data Build your own tables and centralized databases by using normalized design principles Manage data by learning how to INSERT, DELETE, and UPDATE records About the Author Thomas Nield (author of Getting Started with SQL) is a business consultant for Southwest Airlines in Schedule Initiatives. Early in his career, he became fascinated with technology and its role in business analytics. After becoming proficient in Java, Kotlin, Python, SQL, and reactive programming, he became an open-source contributor as well as an author/trainer for O’Reilly Media. He is passionate about sharing what he learns and enabling others with new skill sets. He enjoys making technical content relatable and relevant to those unfamiliar with or intimidated by it. Currently, Thomas is interested in data science, reactive programming, and the Kotlin language. You may find him speaking on these three subjects and how they can interconnect...

-Titulo Original : The Information Diet A Case For Conscious Comsumption-Fabricante : OReilly Media-Descripcion Original: This is a softcover version of the title released in 2011; there is no new material. The modern human animal spends upwards of 11 hours out of every 24 in a state of constant consumption. Not eating, but gorging on information ceaselessly spewed from the screens and speakers we hold dear. Just as we have grown morbidly obese on sugar, fat, and flour-so, too, have we become gluttons for texts, instant messages, emails, RSS feeds, downloads, videos, status updates, and tweets. Were all battling a storm of distractions, buffeted with notifications and tempted by tasty tidbits of information. And just as too much junk food can lead to obesity, too much junk information can lead to cluelessness. The Information Diet shows you how to thrive in this information glut-what to look for, what to avoid, and how to be selective. In the process, author Clay Johnson explains the role information has played throughout history, and why following his prescribed diet is essential for everyone who strives to be smart, productive, and sane. In The Information Diet, you will: Discover why eminent scholars are worried about our state of attention and general intelligence Examine how today’s media-Big Info-give us exactly what we want: content that confirms our beliefs Learn to take steps to develop data literacy, attention fitness, and a healthy sense of humor Become engaged in the economics of information by learning how to reward good information providers Just like a normal, healthy food diet, The Information Diet is not about consuming less-it’s about finding a healthy balance that works for you About the Author Clay Johnson is best known as the founder of Blue State Digital, the firm that built and managed Barack Obamas online campaign for the presidency in 2008. After leaving Blue State, Johnson was the director of Sunlight Labs at the Sunlight Foundation, where he built an army of 2000 developers and designers to build open source tools to give people greater access to government data. He was awarded the Google/OReilly Open Source Organizer of the year in 2009, was one of Federal Computer Weeks Fed 100 in 2010.The range of Johnsons experience with software development, politics, entrepreneurism, and working with non-profits gives him a unique perspective on media and culture. His life is dedicated to giving people greater access to the truth about whats going on in their communities, their cities, and their governments...

-Titulo Original : Introduction To Javascript Object Notation A To-the-point Guide To Json-Fabricante : OReilly Media-Descripcion Original: What is JavaScript Object Notation (JSON) and how can you put it to work? This concise guide helps busy IT professionals get up and running quickly with this popular data interchange format, and provides a deep understanding of how JSON works. Author Lindsay Bassett begins with an overview of JSON syntax, data types, formatting, and security concerns before exploring the many ways you can apply JSON today. From Web APIs and server-side language libraries to NoSQL databases and client-side frameworks, JSON has emerged as a viable alternative to XML for exchanging data between different platforms. If you have some programming experience and understand HTML and JavaScript, this is your book. Learn why JSON syntax represents data in name-value pairs Explore JSON data types, including object, string, number, and array Find out how you can combat common security concerns Learn how the JSON schema verifies that data is formatted correctly Examine the relationship between browsers, web APIs, and JSON Understand how web servers can both request and create data Discover how jQuery and other client-side frameworks use JSON Learn why the CouchDB NoSQL database uses JSON to store data About the Author Lindsay has a passion for both writing, teaching and technology. Her online technology courses and books share the same to-the-point style that cater to the busy IT Professional or student. She distills each subject down to the fundamentals and has a knack for turning dry technical subjects into enjoyable light reading...

-Titulo Original : Programming Rust: Fast, Safe Systems Development-Fabricante : OReilly Media-Descripcion Original: Rust is a new systems programming language that combines the performance and low-level control of C and C with memory safety and thread safety. Rusta??s modern, flexible types ensure your program is free of null pointer dereferences, double frees, dangling pointers, and similar bugs, all at compile time, without runtime overhead. In multi-threaded code, Rust catches data races at compile time, making concurrency much easier to use. Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it. Topics include: How Rust represents values in memory (with diagrams) Complete explanations of ownership, moves, borrows, and lifetimes Cargo, rustdoc, unit tests, and how to publish your code on crates.io, Rusta??s public package repository High-level features like generic code, closures, collections, and iterators that make Rust productive and flexible Concurrency in Rust: threads, mutexes, channels, and atomics, all much safer to use than in C or C Unsafe code, and how to preserve the integrity of ordinary code that uses it Extended examples illustrating how pieces of the language fit together About the Author Jim Blandy has been programming since 1981, and writing Free software since 1990. He has been the maintainer of GNU Emacs and GNU Guile, and a maintainer of GDB, the GNU Debugger. He is one of the original designers of the Subversion version control system. Jim now works on Firefox’s web developer tools for Mozilla. Jason Orendorff hacks C for Mozilla, where he is module owner of the JavaScript engine thats in Firefox. He is an active member of the Nashville developer community and an occasional organizer of homegrown tech events. He is interested in grammar, baking, time travel, and helping people learn about complicated topics...

-Titulo Original : Essential Sqlalchemy Mapping Python To Databases-Fabricante : OReilly Media-Descripcion Original: Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata. SQL is a powerful language for querying and manipulating data, but it’s tough to integrate it with your application. SQLAlchemy helps you map Python objects to database tables without substantially changing your existing Python code. If you’re an intermediate Python developer with knowledge of basic SQL syntax and relational theory, this book serves as both a learning tool and a handy reference. Essential SQLAlchemy includes several sections: SQLAlchemy Core: Provide database services to your applications in a Pythonic way with the SQL Expression Language SQLAlchemy ORM: Use the object relational mapper to bind database schema and operations to data objects in your application Alembic: Use this lightweight database migration tool to handle changes to the database as your application evolves Cookbook: Learn how to use SQLAlchemy with web frameworks like Flask and libraries like SQLAcodegen About the Author Jason works at Cisco as a Software Engineer working on OpenStack. Prior to switching to development a few years ago, he spent several years as a systems architect and building data centers and cloud architectures for several of the largest tech companies, hospitals, stadiums, and telecomm providers. Hes a passionate developer who regularly speaks at local and national events about technology. Hes also the chair of the PyTennessee conference. He loves solving human problems, and has a side project, Sucratrend, devoted to helping diabetics manage their condition and improving their quality of life. He has used SQLAlchemy in web, data warehouse and analytics applications. Rick Copeland is the co-founder and CEO of Synapp.io, an Atlanta-based company which provides a SaaS solution for the email compliance and deliverability space. He is also an experienced Python developer with a focus on both relational and NoSQL databases, and has been honored as a MongoDB Master by MongoDB Inc. for his contributions to the community. He is a frequent speaker at various user groups and conferences, and an active member of the Atlanta startup community...

-Titulo Original : Spark: The Definitive Guide: Big Data Processing Made Simple-Fabricante : OReilly Media-Descripcion Original: Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets-Spark’s core APIs-through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation About the Author Bill Chambers is a Product Manager at Databricks focusing on large-scale analytics, strong documentation, and collaboration across the organization to help customers succeed with Spark and Databricks. He has a Masters degree in Information Systems from the UC Berkeley School of Information, where he focused on data science. Matei Zaharia is an assistant professor of computer science at Stanford University and Chief Technologist at Databricks. He started the Spark project at UC Berkeley in 2009, where he was a PhD student, and he continues to serve as its vice president at Apache. Matei also co-started the Apache Mesos project and is a committer on Apache Hadoop. Matei’s research work was recognized through the 2014 ACM Doctoral Dissertation Award and the VMware Systems Research Award...

-Titulo Original : Information Architecture For The Web And Beyond-Fabricante : OReilly Media-Descripcion Original: Information architecture (IA) is far more challenging-and necessary-than ever. With the glut of information available today, anything your organization wants to share should be easy to find, navigate, and understand. But the experience you provide has to be familiar and coherent across multiple interaction channels, from the Web to smartphones, smartwatches, and beyond. To guide you through this broad ecosystem, this popular guide-now in its fourth edition-provides essential concepts, methods, and techniques for digital design that have withstood the test of time. UX designers, product managers, developers, and anyone involved in digital design will learn how to create semantic structures that will help people engage with your message. This book includes: An overview of IA and the problems it solves for creating effective digital products and services A deep dive into IA components, including organization, labeling, navigation, search, and metadata Processes and methods that take you from research to strategy, design, and IA implementation About the Author Lou Rosenfeld is an independent information architecture consultant. He has been instrumental in helping establish the field of information architecture, and in articulating the role and value of librarianship within the field. Lou played a leading role in organizing and programming the first three information architecture conferences (both ASIS&T Summits and IA 2000). He also presents and moderates at such venues as CHI, COMDEX, Intranets, and the web design conferences produced by Miller Freeman, C|net and Thunder Lizard. He teaches tutorials as part of the Nielsen Norman Group User Experience Conference. Peter Morville is president of Semantic Studios, an information architecture, user experience, and findability consultancy. Since 1994, he has advised such clients as AT&T, Harvard, IBM, the Library of Congress, Microsoft, the National Cancer Institute, Vodafone, and the Weather Channel. Peter is best known as a founding father of information architecture, having co-authored the fields best-selling book, Information Architecture for the World Wide Web. Peter has served on the faculty at the University of Michigans School of Information and on the advisory board of the Information Architecture Institute. He delivers keynotes and seminars at international events, and his work has been featured in major publications including Business Week, The Economist, Fortune, and The Wall Street Journal. You can contact Peter Morville by email (morville@semanticstudios ). You can also find him online at semanticstudios , findability.org, and searchpatterns.org. Jorge is an information architect with 20 years of experience designing digital products and services. He is a partner in Futuredraft, a digital design consultancy based in Oakland, CA, and has served the global UX community as president and director of the Information Architecture Institute and as managing editor of Boxes and Arrows magazine...

-Titulo Original : App Inventor 2 Create Your Own Android Apps-Fabricante : OReilly Media-Descripcion Original: Yes, you can create your own apps for Android devices-and it’s easy to do. This extraordinary book introduces you to App Inventor 2, a powerful visual tool that lets anyone build apps. Learn App Inventor basics hands-on with step-by-step instructions for building more than a dozen fun projects, including a text answering machine app, a quiz app, and an app for finding your parked car! The second half of the book features an Inventor’s Manual to help you understand the fundamentals of app building and computer science. App Inventor 2 makes an excellent textbook for beginners and experienced developers alike. Use programming blocks to build apps-like working on a puzzle Create custom multi-media quizzes and study guides Design games and other apps with 2D graphics and animation Make a custom tour of your city, school, or workplace Control a LEGO® MINDSTORMS® NXT robot with your phone Build location-aware apps by working with your phone’s sensors Explore apps that incorporate information from the Web About the Author David Wolber is a leader in teaching beginners how to code. His focus is empowering artists, designers, kids, women, men, humanity majors, business students--makers of all types--to add coding to their creative arsenals. He wrote the book App Inventor 2: Create your own Android Apps along with App Inventor lead Hal Abelson and Google developers Ellen Spertus and Liz Looney. That book, and Daves award-winning, video-based site appinventor.org, have introduced thousands of new app builders to the world of code. David is a professor of computer science at the University of San Francisco, where he introduces USF students from across the university to coding and computer science. His course-in-a-box teaching materials have served as a template for hundreds of courses at the K-12 and university levels, as well as for the Mobile Computer Science Principles (mobileCSP.org) Advanced Placement (AP) curriculum...