Search results for "Code"
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Nonlinear Programming Codes
...The increasing importance of mathematical programming for the solution of complex nonlinear systems arising in practical situations requires the development of qualified optimization software. In recent years, a lot of effort has been made to implement efficient and reliable optimization programs and we can observe a wide distribution of these programs both for research and industrial applications. In spite of their practical importance only a few attempts have been made in the past to come to comparative conclusions and to give a designer the possibility to decide which optimization program could solve his individual problems in the most desirable way. Box [BO 1966J, Huang, Levy [HL 1970J, Himmelblau [HI 1971J, Dumi- tru [DU 1974], and More, Garbow, Hillstrom [MG 1978] for example compared algorithms for unres~ricied u~~illii~Gtiv~ y~~~le~~, B~~n [BD 1970], McKeown [MK 1975], and Ramsin, Wedin [RW 1977l studied codes for nonlinear least squares problems. Codes for the linear case are compared by Bartels [BA 1975.J and Schittkowski, Stoer [SS 1979J.Extensive tests for geometric programming algorithms are found in Dembo [DE 1976bJ, Rijckaert [RI 1977], and Rijckaert, Martens [RM 1978J.
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Code Nation
Code Nation explores the rise of software development as a social, cultural, and technical phenomenon in American history. The movement germinated in government and university labs during the 1950s, gained momentum through corporate and counterculture experiments in the 1960s and 1970s, and became a broad-based computer literacy movement in the 1980s. As personal computing came to the fore, learning to program was transformed by a groundswell of popular enthusiasm, exciting new platforms, and an array of commercial practices that have been further amplified by distributed computing and the Internet. The resulting society can be depicted as a "Code Nation"—a globally-connected world that is saturated with computer technology and enchanted by software and its creation.Code Nation is a new history of personal computing that emphasizes the technical and business challenges that software developers faced when building applications for CP/M, MS-DOS, UNIX, Microsoft Windows, the Apple Macintosh, and other emerging platforms. It is a popular history of computing that explores the experiences of novice computer users, tinkerers, hackers, and power users, as well as the ideals and aspirations of leading computer scientists, engineers, educators, and entrepreneurs. Computer book and magazine publishers also played important, if overlooked, roles in the diffusion of new technical skills, and this book highlights their creative work and influence.Code Nation offers a "behind-the-scenes" look at application and operating-system programming practices, the diversity of historic computer languages, the rise of user communities, early attempts to market PC software, and the origins of "enterprise" computing systems. Code samples and over 80 historic photographs support the text. The book concludes with an assessment of contemporary efforts to teach computational thinking to young people.
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Codes of Life
Building on a range of disciplines – from biology and anthropology to philosophy and linguistics – this book draws on the expertise of leading names in the study of organic, mental and cultural codes brought together by the emerging discipline of biosemiotics. The volume represents the first multi-authored attempt to deal with the range of codes relevant to life, and to reveal the ubiquitous role of coding mechanisms in both organic and mental evolution.
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Switching Codes
Half a century into the digital era, the profound impact of information technology on intellectual and cultural life is universally acknowledged but still poorly understood. The sheer complexity of the technology coupled with the rapid pace of change makes it increasingly difficult to establish common ground and to promote thoughtful discussion. Responding to this challenge, "Switching Codes" brings together leading American and European scholars, scientists, and artists - including Charles Bernstein, Ian Foster, Bruno Latour, Alan Liu, and Richard Powers - to consider how the precipitous growth of digital information and its associated technologies are transforming the ways we think and act. Employing a wide range of forms, including essay, dialogue, short fiction, and game design, this book aims to model and foster discussion between IT specialists, who typically have scant training in the humanities or traditional arts, and scholars and artists, who often understand little about the technologies that are so radically transforming their fields."Switching Codes" will be an indispensable volume for anyone seeking to understand the impact of digital technology on contemporary culture, including scientists, educators, policymakers, and artists alike.
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Fundamentals of Codes, Graphs, and Iterative Decoding
Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.
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Code That Fits in Your Head
How to Reduce Code Complexity and Develop Software More Sustainably "Mark Seemann is well known for explaining complex concepts clearly and thoroughly. In this book he condenses his wide-ranging software development experience into a set of practical, pragmatic techniques for writing sustainable and human-friendly code. This book will be a must-read for every programmer." -- Scott Wlaschin, author of Domain Modeling Made Functional Code That Fits in Your Head offers indispensable, practical advice for writing code at a sustainable pace and controlling the complexity that causes projects to spin out of control. Reflecting decades of experience helping software teams succeed, Mark Seemann guides you from zero (no code) to deployed features and shows how to maintain a good cruising speed as you add functionality, address cross-cutting concerns, troubleshoot, and optimize. You'll find valuable ideas, practices, and processes for key issues ranging from checklists to teamwork, encapsulation to decomposition, API design to unit testing. Seemann illuminates his insights with code examples drawn from a complete sample project. Written in C#, they're designed to be clear and useful to anyone who uses any object-oriented language including Java , C++, and Python. To facilitate deeper exploration, all code and extensive commit messages are available for download. Choose mindsets and processes that work, and escape bad metaphors that don'tUse checklists to liberate yourself, improving outcomes with the skills you already haveGet past “analysis paralysis” by creating and deploying a vertical slice of your applicationCounteract forces that lead to code rot and unnecessary complexityMaster better techniques for changing code behaviorDiscover ways to solve code problems more quickly and effectivelyThink more productively about performance and securityIf you've ever suffered through bad projects or had to cope with unmaintainable legacy code, this guide will help you make things better next time and every time. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
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Code the Classics Volume II
Take inspiration from the some of the greatest video games of the 1980s and learn how to write your own modern classicsCode the Classics Volume II not only tells the stories of some of the seminal video games of the 1980s, but shows you how to create your own games inspired by them, following examples programmed by Raspberry Pi founder Eben Upton. In this book, you'll learn how to run and edit the games in this book by installing Python, Pygame Zero, and an IDE. You'll also:Get game design tips and tricks from the masters.Understand the fundamental tasks needed for every game: display images, play sound effects and receive inputs from the keyboard or a game controller.Learn how to code your own games with Pygame Zero, a library that helps automate those tasks.Explore the code listings and find out how they work.You'll meet these vintage-inspired games, and learn from their code in between rounds of play:Avenger: fly across a scrolling landscape while you save humans from malevolent aliens.Beat Streets: fight your way through a level, and defeat a notorious crime boss.Eggzy: collect gems and survive as long as possible before time runs out.Leading Edge: Race a car on a pseudo-3d race track.Kinetix: Break bricks with your paddle, and use powerups to avoid various menaces.
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Clean Code in C#
Develop your programming skills by exploring essential topics such as code reviews, implementing TDD and BDD, and designing APIs to overcome code inefficiency, redundancy, and other problems arising from bad codeKey FeaturesWrite code that cleanly integrates with other systems while maintaining well-defined software boundariesUnderstand how coding principles and standards enhance software qualityLearn how to avoid common errors while implementing concurrency or threadingBook DescriptionTraditionally associated with developing Windows desktop applications and games, C# is now used in a wide variety of domains, such as web and cloud apps, and has become increasingly popular for mobile development. Despite its extensive coding features, professionals experience problems related to efficiency, scalability, and maintainability because of bad code. Clean Code in C# will help you identify these problems and solve them using coding best practices.The book starts with a comparison of good and bad code, helping you understand the importance of coding standards, principles, and methodologies. You’ll then get to grips with code reviews and their role in improving your code while ensuring that you adhere to industry-recognized coding standards. This C# book covers unit testing, delves into test-driven development, and addresses cross-cutting concerns. You’ll explore good programming practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. Once you’ve studied API design and discovered tools for improving code quality, you’ll look at examples of bad code and understand which coding practices you should avoid.By the end of this clean code book, you’ll have the developed skills you need in order to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.What you will learnWrite code that allows software to be modified and adapted over timeImplement the fail-pass-refactor methodology using a sample C# console applicationAddress cross-cutting concerns with the help of software design patternsWrite custom C# exceptions that provide meaningful informationIdentify poor quality C# code that needs to be refactoredSecure APIs with API keys and protect data using Azure Key VaultImprove your code’s performance by using tools for profiling and refactoringWho this book is forThis coding book is for C# developers, team leads, senior software engineers, and software architects who want to improve the efficiency of their legacy systems. A strong understanding of C# programming is required.
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Bestseller Code
'If you're someone who dreams of penning a bestseller, read this book' The Week'What if the success of E.L.James and Dan Brown was not so random? What if there were an algorithm that could pick out the bestseller DNA concealed within these books before they're published? This is the audacious claim made by Jodie Archer and Matthew Jockers ... Smart, savvy and full of ideas' Fiona Wilson, The TimesGirl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? In The Bestseller Code, Archer and Jockers boldly claim that not only can mega-hits be explained and identified - but they've built the algorithm to prove it. Using cutting-edge text mining techniques, they have developed a model that analyses theme, plot, style and character to explain why some books resonate more than others with readers. Provocative, entertaining, and ground-breaking, The Bestseller Code explores the hidden patterns at work in the biggest hits and, more importantly, the real reasons we love to read.'Non-formulaic, eye-opening, deeply-researched - and really worth your time' GQ 'When a story captures the imagination of millions, that's magic. Can you qualify magic? Archer and Jockers just may have done so' Sylvia Day, no.1 bestselling author'The claims are eye-grabbing . . . and also highly plausible' Robert Douglas-Fairhurst, Spectator'Thought-provoking and interesting ... Here is a book worth reading' David Bond, Financial Times
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Code Green
The next gripping action thriller from best-selling author Andrew Warren! A must-read for fans of Lee Child and Vince Flynn! 💥The past demands revenge. The future needs a hero.Thomas Caine returns to active duty with the CIA’s Special Activities Division. Under the command of Director Rebecca Freeling, Caine rushes to the Republic of Singapore to protect a vital intelligence asset.Codename: Larkspur, this mysterious contact holds the key to stopping a private terror network from corrupting America’s most powerful intelligence agencies.But when Larkspur’s trail leads to a hard drive hidden deep in the jungles of Vietnam, Caine finds himself racing against time to retrieve and decrypt this critical intel before a cabal of corrupt politicians shuts the operation down.But there is one big problem. Only one man alive can decrypt the drive before it’s too late.A man Caine has sworn to kill on sight… ⚠️Readers are loving Code Green:"Caine at his very best!" ⭐⭐⭐⭐⭐ Reader Review"A riveting international spy-thriller, with fully-rounded relatable characters and a sensational all-action storyline makes Andrew Warren's Code Green a 5-star winner for fans of Lee Child's Jack Reacher novels and Ian Fleming's James Bond." ⭐⭐⭐⭐⭐ Reader Review"Great storylines delivered through such a creative method you’ll be hooked from the first few pages, incredibly descriptive scenes establish characters rapidly in settings you can vividly imagine." ⭐⭐⭐⭐⭐ Reader Review"Loved the whole series. Good mix of kick ass action and emotional involvement. Really couldn't put the books down once I started to read." ⭐⭐⭐⭐⭐ Reader Review"A gripping read" ⭐⭐⭐⭐⭐ Reader Review"The writing is incredible. The atmosphere created by the author is mesmerizing!" ⭐⭐⭐⭐⭐ Reader Review"Awesome story! Full of action, suspense, and intrigue..." ⭐⭐⭐⭐⭐ Reader Review"Move over Jason Bourne... Here comes Thomas Caine!" ⭐⭐⭐⭐⭐ Reader Review
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Agentic Coding with Claude Code
Move beyond prompt-based coding by using Claude Code to design reliable, agent-driven workflows and build production-ready full-stack applicationsKey FeaturesLearn Claude Code as a development partner to build custom automations and agentic workflowsBuild and iterate on a Next.js application using Claude Code for AI-assisted developmentScale AI-assisted development with Claude Code while maintaining code qualityBook DescriptionMost developers encounter Claude Code through chat-style prompting, but that approach breaks down as projects grow and automation must be safe, repeatable, and controlled. Agentic Coding with Claude Code shows how to move beyond ad hoc prompts and use Claude Code as an extensible, agent-driven development platform.This book focuses on building context-aware AI workflows directly in your terminal and IDE. You will learn how to control Claude Code using slash commands, manage long-term context with persistent memory files, and automate development tasks using hooks that trigger actions across Claude Code's lifecycle.The book also covers the Model Context Protocol (MCP) as an important part of the modern agentic ecosystem. You will understand why MCP exists, explore its core architecture, and configure MCP servers inside Claude Code to improve context sharing across tools, agents, and workflows. The trade-offs between MCP, skills, and subagents are discussed to help you choose the right approach.You will design and orchestrate multi-agent systems using subagents, parallel sessions, and hierarchical delegation. By the end of the book, you will be able to integrate Claude Code into real-world development workflows with confidence and control.What you will learnDesign agentic coding workflows in the terminal and IDE using Claude CodeBuild custom automations with reusable slash commands and hooksUse Claude Code with a Next.js project to implement AI-driven workflowsCreate persistent AI memory using Claude Code memory filesApply MCP for structured context sharing across tools and agentsDesign multi-agent systems using subagents and orchestration patternsEnforce coding standards using project documentation and context controlScale AI pair programming while keeping code maintainableWho this book is forThis book is for developers and engineers who want to move beyond chat-based AI and build agentic, automated development workflows using Claude Code and MCP.It is ideal for application developers with prior software engineering experience who want to integrate context-aware AI agents into their terminal and IDE, automate complex tasks, and design scalable multi-agent systems. It will also benefit AI engineers and GenAI users working closely with modern development workflows.
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Beginner's Guide to Code Algorithms
Do you have creative ideas that you wish you could transform into code?Do you want to boost your problem solving and logic skills?Do you want to enhance your career by adopting an algorithmic mindset?In our increasingly digital world, coding is an essential skill. Communicating an algorithm to a machine to perform a set of tasks is vital. Beginner’s Guide to Code Algorithms: Experiments to Enhance Productivity and Solve Problems written by Deepankar Maitra teaches you how to think like a programmer. The author unravels the secret behind writing code – building a good algorithm. Algorithmic thinking leads to asking the right question and enables a shift from issue resolution to value creation. Having this mindset will make you more marketable to employers. This book takes you on a problem-solving journey to expand your mind and increase your willingness to experiment with code. You will: Learn the art of building an algorithm through hands-on exercises Understand how to develop code for inspiring productivity concepts Build a mentality of developing algorithms to solve problems Develop, test, review, and improve code through guided experimentationThis book is designed to develop a culture of logical thinking through intellectual stimulation. It will benefit students and teachers of programming, business professionals, as well as experienced users of Microsoft Excel who wish to become proficient with macros.
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