If programming intrigues you (for whatever reason), Beginning Programming All-In-One Desk Reference For Dummies is like having a starter programming library all in one handy, if hefty, book.In this practical guide, you'll find out about algorithms, best practices, compiling, debugging your programs, and much more. The concepts are illustrated in several different programming languages, so you'll get a feel for the variety of languages and the needs they fill.Inside you'll discover seven minibooks:Getting Started: From learning methods for writing programs to becoming familiar with types of programming languages, you'll lay the foundation for your programming adventure with this minibook. Programming Basics: Here you'll dive into how programs work, variables, data types, branching, looping, subprograms, objects, and more. Data Structures: From structures, arrays, sets, linked lists, and collections, to stacks, queues, graphs, and trees, you'll dig deeply into the data. Algorithms: This minibook shows you how to sort and search algorithms, how to use string searching, and gets into data compression and encryption. Web Programming: Learn everything you need to know about coding for the web: HyperText. Markup Language (better known simply as HTML), CSS, JavaScript, PHP, and Ruby. Programming Language Syntax: Introduces you to the syntax of various languages - C, C++, Java, C#, Perl, Python, Pascal, Delphi, Visual Basic, REALbasic - so you know when to use which one. Applications: This is the fun part where you put your newly developed programming skills to work in practical ways. Additionally, Beginning Programming All-In-One Desk Reference For Dummies shows you how to decide what you want your program to do, turn your instructions into "machine language" that the computer understands, use programming best practices, explore the "how" and "why" of data structuring, and more. And you'll get a look into various applications like database management, bioinformatics, computer security, and artificial intelligence. After you get this book and start coding, you'll soon realize that -- wow! You're a programmer!

    With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems.Learn how different organizations are using graph databases to outperform their competitors. With this book’s data modeling, query, and code examples, you’ll quickly be able to implement your own solution.Model data with the Cypher query language and property graph modelLearn best practices and common pitfalls when modeling with graphsPlan and implement a graph database solution in test-driven fashionExplore real-world examples to learn how and why organizations use a graph databaseUnderstand common patterns and components of graph database architectureUse analytical techniques and algorithms to mine graph database information

    Today’s "machine-learning" systems, trained by data, are so effective that we’ve invited them to see and hear for us?and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole?and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

    It's an essential read for anyone dealing with scaling an online business."--Chris Lalonde, VP, Technical Operations and Infrastructure Architecture, Bullhorn "Abbott and Fisher again tackle the difficult problem of scalability in their unique and practical manner. Distilling the challenges of operating a fast-growing presence on the Internet into 50 easy-to understand rules, the authors provide a modern cookbook of scalability recipes that guide the reader through the difficulties of fast growth."--Geoffrey Weber, Vice President, Internet Operations, Shutterfly "Abbott and Fisher have distilled years of wisdom into a set of cogent principles to avoid many nonobvious mistakes."--Jonathan Heiliger, VP, Technical Operations, Facebook "In "The Art of Scalability," the AKF team taught us that scale is not just a technology challenge. Scale is obtained only through a combination of people, process, "and "technology. With "Scalability Rules," Martin Abbott and Michael Fisher fill our scalability toolbox with easily implemented and time-tested rules that once applied will enable massive scale."--Jerome Labat, VP, Product Development IT, Intuit "When I joined Etsy, I partnered with Mike and Marty to hit the ground running in my new role, and it was one of the best investments of time I have made in my career. The indispensable advice from my experience working with Mike and Marty is fully captured here in this book. Whether you're taking on a role as a technology leader in a new company or you simply want to make great technology decisions, "Scalability Rules "will be the go-to resource on your bookshelf."--Chad Dickerson, CTO, Etsy ""Scalability Rules "provides an essential set of practical tools and concepts anyone can use when designing, upgrading, or inheriting a technology platform. It's very easy to focus on an immediate problem and overlook issues that will appear in the future. This book ensures strategic design principles are applied to everyday challenges."--Robert Guild, Director and Senior Architect, Financial Services "An insightful, practical guide to designing and building scalable systems. A must-read for both product-building and operations teams, this book offers concise and crisp insights gained from years of practical experience of AKF principals. With the complexity of modern systems, scalability considerations should be an integral part of the architecture and implementation process. Scaling systems for hypergrowth requires an agile, iterative approach that is closely aligned with product features; this book shows you how."--Nanda Kishore, Chief Technology Officer, ShareThis "For organizations looking to scale technology, people, and processes rapidly or effectively, the twin pairing of "Scalability Rules "and "The Art of Scalability "are unbeatable. The rules-driven approach in "Scalability Rules "makes this not only an easy reference companion, but also allows organizations to tailor the Abbott and Fisher approach to their specific needs both immediately and in the future!"--Jeremy Wright, CEO, BNOTIONS.ca and Founder, b5media 50 Powerful, Easy-to-Use Rules for Supporting Hypergrowth in Any Environment "Scalability Rules" is the easy-to-use scalability primer and reference for every architect, developer, web professional, and manager. Authors Martin L. Abbott and Michael T. Fisher have helped scale more than 200 hypergrowth Internet sites through their consulting practice. Now, drawing on their unsurpassed experience, they present 50 clear, proven scalability rules-and practical guidance for applying them. Abbott and Fisher transform scalability from a "black art" to a set of realistic, technology-agnostic best practices for supporting hypergrowth in nearly any environment, including both frontend and backend systems. For architects, they offer powerful new insights for creating and evaluating designs. For developers, they share specific techniques for handling everything from databases to state. For managers, they provide invaluable help in goal-setting, decision-making, and interacting with technical teams. Whatever your role, you'll find practical risk/benefit guidance for setting priorities-and getting maximum "bang for the buck." - Simplifying architectures and avoiding "over-engineering"- Scaling via cloning, replication, separating functionality, and splitting data sets- Scaling out, not up- Getting more out of databases without compromising scalability- Avoiding unnecessary redirects and redundant double-checking- Using caches and content delivery networks more aggressively, without introducing unacceptable complexity- Designing for fault tolerance, graceful failure, and easy rollback- Striving for statelessness when you can; efficiently handling state when you must- Effectively utilizing asynchronous communication- Learning quickly from mistakes, and much more

    Two leaders in the requirements community have teamed up to deliver a contemporary set of practices covering the full range of requirements development and management activities on software projects. Describes practical, effective, field-tested techniques for managing the requirements engineering process from end to end. Provides examples demonstrating how requirements "good practices" can lead to fewer change requests, higher customer satisfaction, and lower development costs. Fully updated with contemporary examples and many new practices and techniques. Describes how to apply effective requirements practices to agile projects and numerous other special project situations. Targeted to business analysts, developers, project managers, and other software project stakeholders who have a general understanding of the software development process. Shares the insights gleaned from the authors' extensive experience delivering hundreds of software-requirements training courses, presentations, and webinars.New chapters are included on specifying data requirements, writing high-quality functional requirements, and requirements reuse. Considerable depth has been added on business requirements, elicitation techniques, and nonfunctional requirements. In addition, new chapters recommend effective requirements practices for various special project situations, including enhancement and replacement, packaged solutions, outsourced, business process automation, analytics and reporting, and embedded and other real-time systems projects.

    This book is indispensable for anyone who is serious about using jQuery for non-trivial applications." -- Raffaele Cecco, longtime developer of video games, including Cybernoid, Exolon, and StormlordjQuery is the "write less, do more" JavaScript library. Its powerful features and ease of use have made it the most popular client-side JavaScript framework for the Web. This book is jQuery's trusty companion: the definitive "read less, learn more" guide to the library.jQuery Pocket Reference explains everything you need to know about jQuery, completely and comprehensively. You'll learn how to:Select and manipulate document elementsAlter document structureHandle and trigger eventsCreate visual effects and animationsScript HTTP with Ajax utilitiesUse jQuery's selectors and selection methods, utilities, plugins and moreThe 25-page quick reference summarizes the library, listing all jQuery methods and functions, with signatures and descriptions.

    The authors explain each category of vulnerability using real-world examples, screen shots and code extracts. The book is extremely practical in focus, and describes in detail the steps involved in detecting and exploiting each kind of security weakness found within a variety of applications such as online banking, e-commerce and other web applications. The topics covered include bypassing login mechanisms, injecting code, exploiting logic flaws and compromising other users. Because every web application is different, attacking them entails bringing to bear various general principles, techniques and experience in an imaginative way. The most successful hackers go beyond this, and find ways to automate their bespoke attacks. This handbook describes a proven methodology that combines the virtues of human intelligence and computerized brute force, often with devastating results.The authors are professional penetration testers who have been involved in web application security for nearly a decade. They have presented training courses at the Black Hat security conferences throughout the world. Under the alias "PortSwigger," Dafydd developed the popular Burp Suite of web application hack tools.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The kernel handles all interactions between the CPU and the external world, and determines which programs will share processor time, in what order. It manages limited memory so well that hundreds of processes can share the system efficiently, and expertly organizes data transfers so that the CPU isn't kept waiting any longer than necessary for the relatively slow disks.The third edition of Understanding the Linux Kernel takes you on a guided tour of the most significant data structures, algorithms, and programming tricks used in the kernel. Probing beyond superficial features, the authors offer valuable insights to people who want to know how things really work inside their machine. Important Intel-specific features are discussed. Relevant segments of code are dissected line by line. But the book covers more than just the functioning of the code; it explains the theoretical underpinnings of why Linux does things the way it does.This edition of the book covers Version 2.6, which has seen significant changes to nearly every kernel subsystem, particularly in the areas of memory management and block devices. The book focuses on the following topics:Memory management, including file buffering, process swapping, and Direct memory Access (DMA)The Virtual Filesystem layer and the Second and Third Extended FilesystemsProcess creation and schedulingSignals, interrupts, and the essential interfaces to device driversTimingSynchronization within the kernelInterprocess Communication (IPC)Program executionUnderstanding the Linux Kernel will acquaint you with all the inner workings of Linux, but it's more than just an academic exercise. You'll learn what conditions bring out Linux's best performance, and you'll see how it meets the challenge of providing good system response during process scheduling, file access, and memory management in a wide variety of environments. This book will help you make the most of your Linux system.

    It assumes absolutely no prior programming knowledge and will guide you carefully and slowly through the learning process.Learn Ruby The Hard Way is a translation of the original "Learn Python The Hard Way" to teaching Ruby, with the translation done by Rob Sobers. "Learn Python The Hard Way" has taught hundreds of thousands worldwide how to code in Python, and this book uses the same proven method for Ruby. When you are done with this book you will have the skill to move on to other books about Ruby and be ready to understand them.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    It also covers add-on utilities and how to take advantage of clever features in the most popular UNIX utilities.Loaded with even more practical advice about almost every aspect of UNIX, this edition addresses the technology that UNIX users face today, differing from the first edition in a number of important ways.First, it slants the blend of options and commands more toward the POSIX utilities, including the GNU versions; the bash and tcsh shells have greater coverage, but we've kept the first edition's emphasis on the core concepts of sh and csh that will help you use all UNIX shells; and, Perl is more important than awk these days, so we've de-emphasized awk in this edition.This is a browser's book...like a magazine that you don't read from start to finish, but leaf through repeatedly until you realize that you've read it all. The book is structured so that it bursts at the seams with cross references. Interesting "sidebars" explore syntax or point out other directions for exploration, including relevant technical details that might not be immediately apparent. You'll find articles abstracted from other O'Reilly books, new information that highlights program "tricks" and "gotchas," tips posted to the Net over the years, and other accumulated wisdom.The 53 chapters in this book discuss topics like file management, text editors, shell programming -- even office automation. Overall, there's plenty of material here to satisfy even the most voracious appetites. The bottom line? UNIX Power Tools is loaded with practical advice about almost every aspect of UNIX. It will help you think creatively about UNIX, and will help you get to the point where you can analyze your own problems. Your own solutions won't be far behind.The CD-ROM includes all of the scripts and aliases from the book, plus perl, GNU emacs, netpbm (graphics manipulation utilities), ispell,screen, the sc spreadsheet, and about 60 other freeware programs. In addition to the source code, all the software is precompiled for Sun4, Digital UNIX, IBM AIX, HP/UX, Red Hat Linux, Solaris, and SCO UNIX.

    You'll learn how to:Read and write files efficiently Use signals, clocks, and timers Create processes and execute programs Write secure programs Write multithreaded programs using POSIX threads Build and use shared libraries Perform interprocess communication using pipes, message queues, shared memory, and semaphores Write network applications with the sockets API While The Linux Programming Interface covers a wealth of Linux-specific features, including epoll, inotify, and the /proc file system, its emphasis on UNIX standards (POSIX.1-2001/SUSv3 and POSIX.1-2008/SUSv4) makes it equally valuable to programmers working on other UNIX platforms.The Linux Programming Interface is the most comprehensive single-volume work on the Linux and UNIX programming interface, and a book that's destined to become a new classic.Praise for The Linux Programming Interface "If I had to choose a single book to sit next to my machine when writing software for Linux, this would be it." —Martin Landers, Software Engineer, Google "This book, with its detailed descriptions and examples, contains everything you need to understand the details and nuances of the low-level programming APIs in Linux . . . no matter what the level of reader, there will be something to be learnt from this book." —Mel Gorman, Author of Understanding the Linux Virtual Memory Manager "Michael Kerrisk has not only written a great book about Linux programming and how it relates to various standards, but has also taken care that bugs he noticed got fixed and the man pages were (greatly) improved. In all three ways, he has made Linux programming easier. The in-depth treatment of topics in The Linux Programming Interface . . . makes it a must-have reference for both new and experienced Linux programmers." —Andreas Jaeger, Program Manager, openSUSE, Novell "Michael's inexhaustible determination to get his information right, and to express it clearly and concisely, has resulted in a strong reference source for programmers. While this work is targeted at Linux programmers, it will be of value to any programmer working in the UNIX/POSIX ecosystem." —David Butenhof, Author of Programming with POSIX Threads and Contributor to the POSIX and UNIX Standards ". . . a very thorough—yet easy to read—explanation of UNIX system and network programming, with an emphasis on Linux systems. It's certainly a book I'd recommend to anybody wanting to get into UNIX programming (in general) or to experienced UNIX programmers wanting to know 'what's new' in the popular GNU/Linux system." —Fernando Gont, Network Security Researcher, IETF Participant, and RFC Author ". . . encyclopedic in the breadth and depth of its coverage, and textbook-like in its wealth of worked examples and exercises. Each topic is clearly and comprehensively covered, from theory to hands-on working code. Professionals, students, educators, this is the Linux/UNIX reference that you have been waiting for." —Anthony Robins, Associate Professor of Computer Science, The University of Otago "I've been very impressed by the precision, the quality and the level of detail Michael Kerrisk put in his book. He is a great expert of Linux system calls and lets us share his knowledge and understanding of the Linux APIs." —Christophe Blaess, Author of Programmation systeme en C sous Linux ". . . an essential resource for the serious or professional Linux and UNIX systems programmer. Michael Kerrisk covers the use of all the key APIs across both the Linux and UNIX system interfaces with clear descriptions and tutorial examples and stresses the importance and benefits of following standards such as the Single UNIX Specification and POSIX 1003.1." —Andrew Josey, Director, Standards, The Open Group, and Chair of the POSIX 1003.1 Working Group "What could be better than an encyclopedic reference to the Linux system, from the standpoint of the system programmer, written by none other than the maintainer of the man pages himself? The Linux Programming Interface is comprehensive and detailed. I firmly expect it to become an indispensable addition to my programming bookshelf." —Bill Gallmeister, Author of POSIX.4 Programmer's Guide: Programming for the Real World ". . . the most complete and up-to-date book about Linux and UNIX system programming. If you're new to Linux system programming, if you're a UNIX veteran focused on portability while interested in learning the Linux way, or if you're simply looking for an excellent reference about the Linux programming interface, then Michael Kerrisk's book is definitely the companion you want on your bookshelf." —Loic Domaigne, Chief Software Architect (Embedded), Corpuls.com

    Vaughn Vernon couples guided approaches to implementation with modern architectures, highlighting the importance and value of focusing on the business domain while balancing technical considerations.Building on Eric Evans’ seminal book, Domain-Driven Design, the author presents practical DDD techniques through examples from familiar domains. Each principle is backed up by realistic Java examples–all applicable to C# developers–and all content is tied together by a single case study: the delivery of a large-scale Scrum-based SaaS system for a multitenant environment.The author takes you far beyond “DDD-lite” approaches that embrace DDD solely as a technical toolset, and shows you how to fully leverage DDD’s “strategic design patterns” using Bounded Context, Context Maps, and the Ubiquitous Language. Using these techniques and examples, you can reduce time to market and improve quality, as you build software that is more flexible, more scalable, and more tightly aligned to business goals.

    As expected, .NET 4 brings a wealth of new APIs to the base class libraries and several new syntactical constructs to C#. For example, it is now possible to create C# methods that support optional and named arguments. As well, you are able to resolve types completely at runtime using the new dynamic keyword. As far as APIs are concerned, this edition of Pro C# 2010 and the .NET 4 Platform will cover a number of new details, including:• the Dynamic Language Runtime (DLR)• the Task Parallel Library (TPL, including PLINQ)• the ADO.NET Entity Framework (as well as LINQ to EF)• expanded coverage of the Windows Presentation Foundation (WPF) API• improved support for COM interopIf you're checking out this book for the first time, understand that it targets experienced software professionals and students of computer science—so please don't expect three chapters devoted to "variable scope" here! The mission of this text is to provide you with a rock-solid foundation in the C# programming language (including a full discussion of OOP) and the critical aspects of the .NET 4 platform.Once you digest the information presented in the book you hold in your hands, you'll be in a perfect position to apply this knowledge to your specific programming assignments, and you'll be well-equipped to explore the .NET universe on your own terms.Andrew TroelsenMicrosoft MVP, Visual Developer—Visual C#; Microsoft Certified Trainer (MCT)