Search results for ""O'Reilly Media""

If you want to work in any computational or technical field, you need to understand linear algebra. As the study of matrices and operations acting upon them, linear algebra is the mathematical basis of nearly all algorithms and analyses implemented in computers. But the way it's presented in decades-old textbooks is much different from how professionals use linear algebra today to solve real-world modern applications. This practical guide from Mike X Cohen teaches the core concepts of linear algebra as implemented in Python, including how they're used in data science, machine learning, deep learning, computational simulations, and biomedical data processing applications. Armed with knowledge from this book, you'll be able to understand, implement, and adapt myriad modern analysis methods and algorithms. Ideal for practitioners and students using computer technology and algorithms, this book introduces you to: The interpretations and applications of vectors and matrices Matrix arithmetic (various multiplications and transformations) Independence, rank, and inverses Important decompositions used in applied linear algebra (including LU and QR) Eigendecomposition and singular value decomposition Applications including least-squares model fitting and principal components analysis

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Learn the essentials of working with Flutter and Dart to build full stack applications that meet the needs of a cloud-driven world. Together, the Flutter open source UI software development kit and the Dart programming language for client development provide a unified solution to building applications capable of targeting multiple platforms. Recipes in this cookbook show you how this potent combination provides an efficient approach to application development. Typically used in frontend development, Flutter helps you develop cross-platform applications for Android, iOS, Linux, Mac, Windows, and the Google Fuchsia operating system. The Dart SDK provides native access to third-party solutions, including APIs, databases, and authentication. When used in concert with Flutter, Dart allows you to compile source code ahead of time to native code. This cookbook shows you how to: Write effective Dart code by using variables and data structures Build applications with Flutter by exploring widgets and data handling Understand cloud provider solutions and learn how to integrate them with Flutter Manage data through APIs using Google Cloud Serverless Work with Firebase solutions such as Authentication and the Cloud Firestore database Build web applications that also work with mobile and desktop platforms

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The Rust programming language is extremely well-suited for concurrency, and its ecosystem has many libraries that include lots of concurrent data structures, locks, and more. But implementing those structures correctly can be very difficult. Even in the most well-used libraries, memory ordering bugs are not uncommon. In this practical book, Mara Bos, leader of the Rust library team, helps Rust programmers of all levels gain a clear understanding of low-level concurrency. You'll learn everything about atomics and memory ordering and how they're combined with basic operating system APIs to build common primitives like mutexes and condition variables. Once you're done, you'll have a firm grasp of how Rust's memory model, the processor, and the roles of the operating system all fit together. With this guide, you'll learn: How Rust's type system works exceptionally well for programming concurrency correctly All about mutexes, condition variables, atomics, and memory ordering What happens in practice with atomic operations on Intel and ARM processors How locks are implemented with support from the operating system How to write correct code that includes concurrency, atomics, and locks How to build your own locking and synchronization primitives correctly

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If you're a web designer or app developer interested in sophisticated page styling, improved accessibility, and less time and effort expended, this book is for you. This revised fifth edition provides a comprehensive guide to CSS implementation along with a thorough review of the latest CSS specifications. Authors Eric Meyer and Estelle Weyl show you how to improve user experience, speed development, avoid potential bugs, and add life and depth to your applications through layout, transitions and animations, borders, backgrounds, text properties, and many other tools and techniques. We read the specs so you don't have to! This guide covers: Selectors, specificity, and the cascade, including information on the new cascade layers New and old CSS values and units, including CSS variables and ways to size based on viewports Details on font technology and ways to use any available font variants Text styling, from basic decoration to changing the entire writing mode Padding, borders, outlines, and margins, now discussed in terms of the new block- and inline-direction layout paradigm used by modern browsers Colors, backgrounds, and gradients, including the conic gradients Accessible data tables Flexible box and grid layout systems, including new subgrid capabilities 2D and 3D transforms, transitions, and animation Filters, blending, clipping, and masking Media, feature, and container queries

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In just five years, Kubernetes has radically changed the way developers and ops personnel build, deploy, and maintain applications in the cloud. With this book's updated third edition, you'll learn how this popular container orchestrator can help your company achieve new levels of velocity, agility, reliability, and efficiency--whether you're new to distributed systems or have been deploying cloud native apps for some time. Brendan Burns, Joe Beda, Kelsey Hightower, and Lachlan Evenson--who have worked on Kubernetes at Google and beyond--explain how this system fits into the life cycle of a distributed application. Software developers, engineers, and architects will learn ways to use tools and APIs to automate scalable distributed systems for online services, machine learning applications, or even a cluster of Raspberry Pi computers. This guide shows you how to: Create a simple cluster to learn how Kubernetes works Dive into the details of deploying an application using Kubernetes Learn specialized objects in Kubernetes, such as DaemonSets, jobs, ConfigMaps, and secrets Explore deployments that tie together the lifecycle of a complete application Get practical examples of how to develop and deploy real-world applications in Kubernetes

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The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. You'll learn how to: Identify and mitigate common challenges when training, evaluating, and deploying ML models Represent data for different ML model types, including embeddings, feature crosses, and more Choose the right model type for specific problems Build a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuning Deploy scalable ML systems that you can retrain and update to reflect new data Interpret model predictions for stakeholders and ensure models are treating users fairly

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Microsoft Power BI is a data analytics and visualization tool powerful enough for the most demanding data scientists, but accessible enough for everyday use for anyone who needs to get more from data. The market has many books designed to train and equip professional data analysts to use Power BI, but few of them make this tool accessible to anyone who wants to get up to speed on their own. This streamlined intro to Power BI covers all the foundational aspects and features you need to go from "zero to hero" with data and visualizations. Whether you work with large, complex datasets or work in Microsoft Excel, author Jeremey Arnold shows you how to teach yourself Power BI and use it confidently as a regular data analysis and reporting tool. You'll learn how to: Import, manipulate, visualize, and investigate data in Power BI Approach solutions for both self-service and enterprise BI Use Power BI in your organization's business intelligence strategy Produce effective reports and dashboards Create environments for sharing reports and managing data access with your team Determine the right solution for using Power BI offerings based on size, security, and computational needs

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Take your Linux skills to the next level! Whether you're a system administrator, software developer, site reliability engineer, or enthusiastic hobbyist, this practical, hands-on book will help you work faster, smarter, and more efficiently. You'll learn how to create and run complex commands that solve real business problems, process and retrieve information, and automate manual tasks. You'll also truly understand what happens behind the shell prompt, so no matter which commands you run, you can be more successful in everyday Linux use and more competitive on the job market. As you build intermediate to advanced command-line skills, you'll learn how to: Choose or construct commands that get your work done quickly Run commands efficiently and navigate the Linux filesystem with ease Build powerful, complex commands out of simpler ones Transform text files and query them like databases to achieve business goals Control Linux point-and-click features from the command line

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Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references. This book will help you tackle scenarios such as: Engineering data and choosing the right metrics to solve a business problem Automating the process for continually developing, evaluating, deploying, and updating models Developing a monitoring system to quickly detect and address issues your models might encounter in production Architecting an ML platform that serves across use cases Developing responsible ML systems

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Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the Jupyter notebook and IPython shell for exploratory computing Learn basic and advanced features in NumPy Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples

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Security is usually an afterthought when organizations design microservices for cloud systems. Most companies today are exposed to potential security threats, but their response is more reactive than proactive. That leads to unnecessarily complicated architecture that's harder to implement and even harder to manage and scale. Author Gaurav Raje shows you how to build highly secure systems on AWS without increasing overhead. Ideal for cloud solution architects and software developers with AWS experience, this practical book starts with a high-level architecture and design discussion, then explains how to implement your solution in the cloud in a secure but frictionless manner. By leveraging the AWS Shared Responsibility Model, you'll be able to: Achieve complete mediation in microservices at the infrastructure level Implement a secure and reliable audit trail of all events within the system Develop architecture that aims to simplify compliance with various regulations in finance, medicine, and legal services Put systems in place that detect anomalous behavior and alert the proper administrators in case of a breach Scale security mechanisms on individual microservices independent of each other

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Tap into the wisdom of experts to learn what every programmer should know, no matter what language you use. With the 97 short and extremely useful tips for programmers in this book, you'll expand your skills by adopting new approaches to old problems, learning appropriate best practices, and honing your craft through sound advice. With contributions from some of the most experienced and respected practitioners in the industry--including Michael Feathers, Pete Goodliffe, Diomidis Spinellis, Cay Horstmann, Verity Stob, and many more--this book contains practical knowledge and principles that you can apply to all kinds of projects. A few of the 97 things you should know: *"Code in the Language of the Domain" by Dan North *"Write Tests for People" by Gerard Meszaros *"Convenience Is Not an -ility" by Gregor Hohpe *"Know Your IDE" by Heinz Kabutz *"A Message to the Future" by Linda Rising *"The Boy Scout Rule" by Robert C. Martin (Uncle Bob) *"Beware the Share" by Udi Dahan

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We're moving from an industrial to a knowledge economy, where creativity and innovation will be the keys to value. New rules apply. Yet 200 years of industrial habits are embedded in our workplaces, our schools and our system of government. How must we change our work practices to win in the 21st Century? Gamestorming is a playbook for people who want to design the future, to change the world, to make, break and innovate. It's a rough-and-ready toolkit for inventors, explorers and change agents who want to use design thinking to navigate successfully in complex and uncertain knowledge and information spaces, to engage others, and to start, grow and sustain movements for change. Gamestorming is full of practical, proven solutions to common workplace challenges. Learn how to engage people in your project, to get better traction and move more quickly with groups, to make things happen and get better, faster decisions and results. * Use techniques to engage your team and help members collaborate effectively * Get "silent resisters" to reveal their concerns so they can be discussed and resolved * Generate ideas that may otherwise be lost * Identify the root cause of a problem, and determine points of greatest leverage * Turn common office supplies into powerful enablers for visual thinking * Learn the visual alphabet: twelve simple shapes that will enable you to clearly and concisely draw anything you can possibly imagine

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Over the last fifteen years, professional communications have changed drastically. Presentations are the primary way we communicate. There is a proliferation of presentation software in the workplace, but there are no documented best-practices for how to communicate optimally in this ubiquitous medium. There has never been a gold standard collection of best practices for telling the visual story until now. Whether you're a CEO, senior manager or educator, you create presentations that have incredibly high stakes. Stock value, sales revenue, career promotions and behavior changes are all influenced by presentations daily. Those of us who want to get ahead have had a few guides that teach us how to create 'sticky' verbal messages and make a successful delivery. But what about the slides themselves? Are they art or science, or both?If you 're tired of stagnating in your career or getting marginal feedback when you present to pivotal audiences, this book will change your approach, process and expectations for developing visual aides. It will make the difference between a good presentation and a great one. The personality of the book is smart and informative. It would be like the merging of an informative Strunk and White's "Elements of Style" with a spunky Anne Lamott - but it happens to all be in living color. Useful, yet with doses of reality sprinkled in. It will be referenced enough to be kept permanently on a desk as an essential guide yet profound enough to spark viral intrigue. For the first time, we have translated much of the design language into laymen 's terms.

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This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: * Extract information from unstructured text, either to guess the topic or identify "named entities" * Analyze linguistic structure in text, including parsing and semantic analysis * Access popular linguistic databases, including WordNet and treebanks * Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.

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For students, DIY hobbyists, and science buffs, who can no longer get real chemistry sets, this one-of-a-kind guide explains how to set up and use a home chemistry lab, with step-by-step instructions for conducting experiments in basic chemistry - not just to make pretty colors and stinky smells, but to learn how to do real lab work: purify alcohol by distillation; produce hydrogen and oxygen gas by electrolysis; smelt metallic copper from copper ore you make yourself; analyze the makeup of seawater, bone, and other common substances; synthesize oil of wintergreen from aspirin and rayon fiber from paper; perform forensics tests for fingerprints, blood, drugs, and poisons; and much more.From the 1930s through the 1970s, chemistry sets were among the most popular Christmas gifts, selling in the millions. But two decades ago, real chemistry sets began to disappear as manufacturers and retailers became concerned about liability. "The Illustrated Guide to Home Chemistry Experiments" steps up to the plate with lessons on how to equip your home chemistry lab, master laboratory skills, and work safely in your lab.The bulk of this book consists of 17 hands-on chapters that include multiple laboratory sessions on the following topics: Separating Mixtures; Solubility and Solutions; Colligative Properties of Solutions; Introduction to Chemical Reactions and Stoichiometry; Reduction-Oxidation (Redox) Reactions; Acid-Base Chemistry; Chemical Kinetics; Chemical Equilibrium and Le Chatelier's Principle; Gas Chemistry; Thermochemistry and Calorimetry; Electrochemistry; Photochemistry; Colloids and Suspensions; Qualitative Analysis; Quantitative Analysis; Synthesis of Useful Compounds; and Forensic Chemistry. With plenty of full-color illustrations and photos, Illustrated Guide to Home Chemistry Experiments offers introductory level sessions suitable for a middle school or first-year high school chemistry laboratory course, and more advanced sessions suitable for students who intend to take the College Board Advanced Placement (AP) Chemistry exam. A student who completes all of the laboratories in this book will have done the equivalent of two full years of high school chemistry lab work or a first-year college general chemistry laboratory course. This hands-on introduction to real chemistry - using real equipment, real chemicals, and real quantitative experiments - is ideal for the many thousands of young people and adults who want to experience the magic of chemistry.

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How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes. This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things. The authors think aloud as they work through their project's architecture, the tradeoffs made in its construction, and when it was important to break rules. "Beautiful Code" is an opportunity for master coders to tell their story. All author royalties will be donated to Amnesty International. The book includes the following contributions: "Beautiful Brevity: Rob Pike's Regular Expression Matcher" by Brian Kernighan, Department of Computer Science, Princeton University; "Subversion's Delta Editor: Interface as Ontology" by Karl Fogel, editor of "QuestionCopyright.org", Co-founder of Cyclic Software, the first company offering commercial CVS support; "The Most Beautiful Code I Never Wrote" by Jon Bentley, Avaya Labs Research; "Finding Things" by Tim Bray, Director of Web Technologies at Sun Microsystems, co-inventor of XML 1. 0; "Correct, Beautiful, Fast (In That Order): Lessons From Designing XML Validators" by Elliotte Rusty Harold, Computer Science Department at Polytechnic University, author of "Java I/O, Java Network Programming", and "XML in a Nutshell" (O'Reilly); and, "The Framework for Integrated Test: Beauty through Fragility" by Michael Feathers, consultant at Object Mentor, author of "Working Effectively with Legacy Code" (Prentice Hall). It also includes: "Beautiful Tests" by Alberto Savoia, Chief Technology Officer, Agitar Software Inc; "On-the-Fly Code Generation for Image Processing" by Charles Petzold, author "Programming Windows and Code: The Hidden Language of Computer Hardware and Software" (both Microsoft Press); "Top Down Operator Precedence" by Douglas Crockford, architect at Yahoo! Inc, Founder and CTO of State Software, where he discovered JSON; "Accelerating Population Count" by Henry Warren, currently works on the Blue Gene petaflop computer project Worked for IBM for 41 years; "Secure Communication: The Technology of Freedom" by Ashish Gulhati, Chief Developer of Neomailbox, an Internet privacy service Developer of Cryptonite, an OpenPGP-compatible secure webmail system; and, "Growing Beautiful Code in BioPerl" by Lincoln Stein, investigator at Cold Spring Harbor Laboratory - develops databases and user interfaces for the Human Genome Project using the Apache server and its module API. It also includes: "The Design of the Gene Sorter" by Jim Kent, Genome Bioinformatics Group, University of California Santa Cruz; "How Elegant Code Evolves With Hardware: The Case Of Gaussian Elimination" by Jack Dongarra, University Distinguished Professor of Computer Science in the Computer Science Department at the University of Tennessee, also distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) and Piotr Luszczek, Research Professor at the University of Tennessee; "Beautiful Numerics" by Adam Kolawa, co-founder and CEO of Parasoft; and, "The Linux Kernel Driver Model" by Greg Kroah-Hartman, SuSE Labs/Novell, Linux kernel maintainer for driver subsystems, author of "Linux Kernel in a Nutshell", co-author of "Linux Device Drivers, 3rd Edition" (O'Reilly). It also includes: "Another Level of Indirection" by Diomidis Spinellis, Associate Professor at the Department of Management Science and Technology at the Athens University of Economics and Business, Greece; "An Examination of Python's Dictionary Implementation" by Andrew Kuchling, longtime member of the Python development community, and a director of the Python Software Foundation; "Multi-Dimensional Iterators in NumPy" by Travis Oliphant, Assistant Professor in the Electrical and Computer Engineering Department at Brigham Young University; and, "A Highly Reliable Enterprise System for NASAs Mars Rover Mission" by Ronald Mak, co-founder and CTO of Willard & Lowe Systems, Inc, formerly a senior scientist at the Research Institute for Advanced Computer Science on contract to NASA Ames. It also includes: "ERP5: Designing for Maximum Adaptability" by Rogerio de Carvalho, researcher at the Federal Center for Technological Education of Campos (CEFET Campos), Brazil and Rafael Monnerat, IT Analyst at CEFET Campos, and an offshore consultant for Nexedi SARL; "A Spoonful of Sewage" by Bryan Cantrill, Distinguished Engineer at Sun Microsystems, where he has spent most of his career working on the Solaris kernel; "Distributed Programming with MapReduce" by Jeff Dean and Sanjay Ghemawat, Google Fellows in Google's Systems Infrastructure Group; "Beautiful Concurrency" by Simon Peyton Jones, Microsoft Research, key contributor to the design of the functional language Haskell, and lead designer of the Glasgow Haskell Compiler (GHC); and, "Syntactic Abstraction: The syntax-case expander" by Kent Dybvig, Developer of Chez Scheme and author of the Scheme Programming Language. It also includes: "Object-Oriented Patterns and a Framework for Networked Software" by William Otte, a Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) at Vanderbilt University and Doug Schmidt, Full Professor in the Electrical Engineering and Computer Science (EECS) Department, Associate Chair of the Computer Science and Engineering program, and a Senior Research Scientist at the Institute for Software Integrated Systems (ISIS) at Vanderbilt University; "Integrating Business Partners the RESTful Way" by Andrew Patzer, Director of the Bioinformatics Program at the Medical College of Wisconsin; and, "Beautiful Debugging" by Andreas Zeller, computer science professor at Saarland University, author of "Why Programs Fail: A Guide to Systematic Debugging" (Morgan Kaufman). It also includes: "Code That's Like an Essay" by Yukihiro Matsumoto, inventor of the Ruby language; "Designing Interfaces Under Extreme Constraints: the Stephen Hawking editor" by Arun Mehta, professor and chairman of the Computer Engineering department of JMIT, Radaur, Haryana, India; "Emacspeak: The Complete Audio Desktop" by TV Raman, Research Scientist at Google where he focuses on web applications; "Code in Motion" by Christopher Seiwald, founder and CTO of Perforce Software and Laura Wingerd, vice president of product technology at Perforce Software, author of "Practical Perforce" (O'Reilly); and, "Writing Programs for 'The Book'" by Brian Hayes who writes the Computing Science column in American Scientist magazine, author of "Infrastructure: A Field Guide to the Industrial Landscape"(W.W. Norton).

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With the advent of rich Internet applications, the explosion of social media, and the increased use of powerful cloud computing infrastructures, a new generation of attackers has added cunning new techniques to its arsenal. For anyone involved in defending an application or a network of systems, Hacking: The Next Generation is one of the few books to identify a variety of emerging attack vectors. You'll not only find valuable information on new hacks that attempt to exploit technical flaws, you'll also learn how attackers take advantage of individuals via social networking sites, and abuse vulnerabilities in wireless technologies and cloud infrastructures. Written by seasoned Internet security professionals, this book helps you understand the motives and psychology of hackers behind these attacks, enabling you to better prepare and defend against them. Learn how "inside out" techniques can poke holes into protected networks Understand the new wave of "blended threats" that take advantage of multiple application vulnerabilities to steal corporate data Recognize weaknesses in today's powerful cloud infrastructures and how they can be exploited Prevent attacks against the mobile workforce and their devices containing valuable data Be aware of attacks via social networking sites to obtain confidential information from executives and their assistants Get case studies that show how several layers of vulnerabilities can be used to compromise multinational corporations

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This text is about getting people online using wireless network technology. The 802.11b standard (also known as WiFi) makes it possible to network towns, schools, neighborhoods, small business, and almost any kind of organization. All that's required is a willingness to cooperate and share resources. The first edition of this book helped thousands of people engage in community networking activities. At the time, it was impossible to predict how quickly and thoroughly WiFi would penetrate the marketplace. Today, with WiFi-enabled computers almost as common as Ethernet, it makes even more sense to take the next step and network your community using nothing but freely available radio spectrum. This book has showed many people how to make their network available, even from the park bench, how to extend high-speed Internet access into the many areas not served by DSL and cable providers, and how to build working communities and a shared though intangible network. All that's required to create an access point for high-speed Internet connection is a gateway or base station. Once that is set up, any computer with a wireless card can log onto the network and share its resources. Rob Flickenger built such a network in northern California, and continues to participate in network-building efforts. His nuts-and-bolts guide covers: selecting the appropriate equipment; finding antenna sites, and building and installing antennas; protecting your network from inappropriate access; new network monitoring tools and techniques (new); regulations affecting wireless deployment (new); and IP network administration, including DNS and IP Tunneling (new).

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Password sniffing, spoofing, buffer overflows, and denial of service: these are only a few of the attacks on today's computer systems and networks. At the root of this epidemic is poorly written, poorly tested, and insecure code that puts everyone at risk. Clearly, today's developers need help figuring out how to write code that attackers won't be able to exploit. But writing such code is surprisingly difficult. Secure Programming Cookbook for C and C++ is an important new resource for developers serious about writing secure code. It contains a wealth of solutions to problems faced by those who care about the security of their applications. It covers a wide range of topics, including safe initialization, access control, input validation, symmetric and public key cryptography, cryptographic hashes and MACs, authentication and key exchange, PKI, random numbers, and anti-tampering. The rich set of code samples provided in the book's more than 200 recipes will help programmers secure the C and C++ programs they write for both Unix(r) (including Linux(r)) and Windows(r) environments. Readers will learn: * How to avoid common programming errors, such as buffer overflows, race conditions, and format string problems * How to properly SSL-enable applications * How to create secure channels for client-server communication without SSL * How to integrate Public Key Infrastructure (PKI) into applications * Best practices for using cryptography properly * Techniques and strategies for properly validating input to programs * How to launch programs securely * How to use file access mechanisms properly * Techniques for protecting applications from reverse engineering The book's web site supplements the book by providing a place to post new recipes, including those written in additional languages like Perl, Java, and Python. Monthly prizes will reward the best recipes submitted by readers. Secure Programming Cookbook for C and C++ is destined to become an essential part of any developer's library, a code companion developers will turn to again and again as they seek to protect their systems from attackers and reduce the risks they face in today's dangerous world.

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This is a reference guide to the information presented in the larger volumes. It presents a concise summary of regular expressions and pattern matching, and summaries of Sed and Awk. This edition has expanded coverage of Gawk (GNU Awk), and includes sections on: an overview of Sed and Awk's command line syntax; alphabetical summaries of commands, including Nawk and Gawk; profiling with PGawk; coprocesses and sockets with Gawk; internationalization with Gawk; and a listing of resources for Sed and Awk users.

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If you've ever wondered how Linux carries out the complicated tasks assigned to it by the IP protocols -- or if you just want to learn about modern networking through real-life examples -- Understanding Linux Network Internals is for you. Like the popular O'Reilly book, Understanding the Linux Kernel, this book clearly explains the underlying concepts and teaches you how to follow the actual C code that implements it. Although some background in the TCP/IP protocols is helpful, you can learn a great deal from this text about the protocols themselves and their uses. And if you already have a base knowledge of C, you can use the book's code walkthroughs to figure out exactly what this sophisticated part of the Linux kernel is doing. Part of the difficulty in understanding networks -- and implementing them -- is that the tasks are broken up and performed at many different times by different pieces of code. One of the strengths of this book is to integrate the pieces and reveal the relationships between far-flung functions and data structures. Understanding Linux Network Internals is both a big-picture discussion and a no-nonsense guide to the details of Linux networking. Topics include: * Key problems with networking * Network interface card (NIC) device drivers * System initialization * Layer 2 (link-layer) tasks and implementation * Layer 3 (IPv4) tasks and implementation * Neighbor infrastructure and protocols (ARP) * Bridging * Routing * ICMP Author Christian Benvenuti, an operating system designer specializing in networking, explains much more than how Linux code works. He shows the purposes of major networking features and the trade-offs involved in choosing one solution over another. A large number of flowcharts and other diagrams enhance the book's understandability.

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When Isaac Newton developed calculus in the 1600s, he was trying to tie together math and physics in an intuitive, geometrical way. But over time math and physics teaching became heavily weighted toward algebra, and less toward geometrical problem solving. However, many practicing mathematicians and physicists will get their intuition geometrically first and do the algebra later. Make:Calculus imagines how Newton might have used 3D printed models, construction toys, programming, craft materials, and an Arduino or two to teach calculus concepts in an intuitive way. The book uses as little reliance on algebra as possible while still retaining enough to allow comparison with a traditional curriculum. This book is not a traditional Calculus I textbook. Rather, it will take the reader on a tour of key concepts in calculus that lend themselves to hands-on projects. This book also defines terms and common symbols for them so that self-learners can learn more on their own.

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The workbenches of hobbyists, hackers, and makers have become overrun with microcontrollers, computers-on-a-chip that power homebrewed video games, robots, toys, and more. In Making Things Talk, Tom Igoe, one of the creators of Arduino, shows how to make these gadgets talk. Whether you need to connect some sensors to the Internet or create a device that can interact wirelessly with other creations, this book shows you what you need. Although they are powerful, the projects in this book are inexpensive to build: the Arduino microcontroller board itself ranges from around $25 to $40. The networking hardware covered here includes Ethernet, Wi-Fi, Bluetooth, and can be had for $25 to $50. Fully updated for the latest Arduino hardware and software, this book lets you combine microcontrollers, sensors, and networking hardware to make things... and make them talk to each other!

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Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data-fake data generated from real data-so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution. This book describes: Steps for generating synthetic data using multivariate normal distributions Methods for distribution fitting covering different goodness-of-fit metrics How to replicate the simple structure of original data An approach for modeling data structure to consider complex relationships Multiple approaches and metrics you can use to assess data utility How analysis performed on real data can be replicated with synthetic data Privacy implications of synthetic data and methods to assess identity disclosure

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With a new generation of services and frameworks, frontend and mobile developers can use their existing skill set to build full stack applications by leveraging the cloud. Developers can build robust applications with production-ready features such as authentication, APIs, data layers, machine learning, chatbots, and AR scenes more easily than ever by taking advantage of these new serverless and cloud technologies. This practical guide explains how. Nader Dabit, developer advocate at Amazon Web Services, shows developers how to build full stack applications using React, AWS, GraphQL, and the Amplify Framework. You’ll learn how to create and incorporate services into your client applications while exploring general best practices, deployment strategies, continuous integration and delivery, and rich media management along the way. Learn how to build applications that solve real problems Understand what is (and isn’t) possible when using these technologies Examine how authentication works—and learn the difference between authentication and authorization Discover how serverless functions work and why they’re important Use GraphQL in your application—and learn why it’s important Learn how to build full stack applications on AWS

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Explore the latest Java-based software development techniques and methodologies through the project-based approach in this practical guide. Unlike books that use abstract examples and lots of theory, Real-World Software Development shows you how to develop several relevant projects while learning best practices along the way. With this engaging approach, junior developers capable of writing basic Java code will learn about state-of-the-art software development practices for building modern, robust and maintainable Java software. You'll work with many different software development topics that are often excluded from software develop how-to references. Featuring real-world examples, this book teaches you techniques and methodologies for functional programming, automated testing, security, architecture, and distributed systems.

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How can you establish a customer-centric culture in an organization? This is the first comprehensive book on how to actually do service design to improve the quality and the interaction between service providers and customers. You'll learn specific facilitation guidelines on how to run workshops, perform all of the main service design methods, implement concepts in reality, and embed service design successfully in an organization. Great customer experience needs a common language across disciplines to break down silos within an organization. This book provides a consistent model for accomplishing this and offers hands-on descriptions of every single step, tool, and method used.You'll be able to focus on your customers and iteratively improve their experience. Move from theory to practice and build sustainable business success.

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In the past few years, going cloud native has been a big advantage for many companies. But it’s a tough technique to get right, especially for enterprises with critical legacy systems. This practical hands-on guide examines effective architecture, design, and cultural patterns to help you transform your organization into a cloud native enterprise—whether you’re moving from older architectures or creating new systems from scratch. By following Wealth Grid, a fictional company, you’ll understand the challenges, dilemmas, and considerations that accompany a move to the cloud. Technical managers and architects will learn best practices for taking on a successful company-wide transformation. Cloud migration consultants Pini Reznik, Jamie Dobson, and Michelle Gienow draw patterns from the growing community of expert practitioners and enterprises that have successfully built cloud native systems. You’ll learn what works and what doesn’t when adopting cloud native—including how this transition affects not just your technology but also your organizational structure and processes. You’ll learn: What cloud native means and why enterprises are so interested in it Common barriers and pitfalls that have affected other companies (and how to avoid them) Context-specific patterns for a successful cloud native transformation How to implement a safe, evolutionary cloud native approach How companies addressed root causes and misunderstandings that hindered their progress Case studies from real-world companies that have succeeded with cloud native transformations

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More organizations than ever understand the importance of data lake architectures for deriving value from their data. Building a robust, scalable, and performant data lake remains a complex proposition, however, with a buffet of tools and options that need to work together to provide a seamless end-to-end pipeline from data to insights. This book provides a concise yet comprehensive overview on the setup, management, and governance of a cloud data lake. Author Rukmani Gopalan, a product management leader and data enthusiast, guides data architects and engineers through the major aspects of working with a cloud data lake, from design considerations and best practices to data format optimizations, performance optimization, cost management, and governance. Learn the benefits of a cloud-based big data strategy for your organization Get guidance and best practices for designing performant and scalable data lakes Examine architecture and design choices, and data governance principles and strategies Build a data strategy that scales as your organizational and business needs increase Implement a scalable data lake in the cloud Use cloud-based advanced analytics to gain more value from your data

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This comprehensive guide shows you how to master the most important changes to Java since it was first released. Generics and the greatly expanded collection libraries have tremendously increased the power of Java 5 and Java 6. But they have also confused many developers who haven't known how to take advantage of these new features. "Java Generics and Collections" covers everything from the most basic uses of generics to the strangest corner cases. It teaches you everything you need to know about the collections libraries, so you'll always know which collection is appropriate for any given task, and how to use it. Topics covered include: Fundamentals of generics: type parameters and generic methods; Other new features: boxing and unboxing, foreach loops, varargs; Subtyping and wildcards; Evolution not revolution: generic libraries with legacy clients and generic clients with legacy libraries; Generics and reflection; Design patterns for generics; Sets, Queues, Lists, Maps, and their implementations; Concurrent programming and thread safety with collections; ane Performance implications of different collections. Generics and the new collection libraries they inspired take Java to a new level. If you want to take your software development practice to a new level, this book is essential reading.

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Finally, a business book for makers, not managers. Are you ready to “make a dent in the universe”? As a creative, you no longer have to take a backseat. In fact, stepping up and embracing entrepreneurship is the fastest route to impact. But where do you start? And what sets the businesses that succeed apart? To find out, we asked the bright minds behind companies like Google X, Warby Parker, Facebook, O’Reilly Media, and more to share their startup wisdom. Featuring hard-won wisdom from twenty leading entrepreneurs and designers, 99U’s Make Your Mark will arm you with practical insights for launching a purpose-driven business, refining your product, delighting your customers, inspiring your team—and ultimately—making something that matters. Make Your Mark features contributions from: William Allen, Rich Armstrong, Warren Berger, Sean Blanda, Neil Blumenthal, Craig Dalton, Jane ni Dhulchaointigh, Aaron Dignan, Andy Dunn, Joel Gascoigne, Seth Godin, Chris Guillebeau, Emily Heyward, John Maeda, David Marquet, Tim O’Reilly, Shane Snow, Sebastian Thrun, Keith Yamashita, and Julie Zhuo. Plus, a foreword from Behance founder Scott Belsky.

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