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Human Code
What does it mean to be alive? What is the human race all about, and how do YOU fit into it? If you've ever asked yourself these deep, foundational questions, then you MUST read this book. Loaded with valuable truths, The Human Code is a delicious mix of personal stories, spiritual insights, and practical, every day common sense. Written by one of the newly emerging leaders on the topics of spirituality, religion, and social justice, this book takes a brutally honest look at how these aspects affect our lives. It examines what it means to be alive in every way - spiritually, socially, financially, physically, etc. In short, The Human Code poses the question: if we are spiritual beings having a temporary human experience - if we are indeed spirit wrapped in flesh - then what are the network of elements, principles, and beliefs that bind us together and make us tick?
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Learn to Code with Games
A novel approach for the classroom or self-study, Learn to Code with Games makes coding accessible to a broad audience. Structured as a series of challenges that help you learn to code by creating a video game, each chapter expands and builds your knowledge while providing guidelines and hints to solving each challenge.The book employs a unique problem-solving approach to teach you the technical foundations of coding, including data types, variables, functions, and arrays. You will also use techniques such as pseudocode and process mapping to formulate solutions without needing to type anything into a computer, and then convert the solutions into executable code.Avoiding jargon as much as possible, Learn to Code with Games shows you how to see coding as a way of thinking and problem solving rather than a domain of obscure languages and syntaxes. Its practical hands-on approach through the context of game development enables you to easily grasp basic programming concepts.
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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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Ideal Code, Real World
What are appropriate criteria for assessing a theory of morality? Brad Hooker begins by answering this question, and then argues for a rule-consequentialist theory. According to rule-consequentialism, acts should be assessed morally in terms of impartially justified rules, and rules are impartially justified if and only if the expected overall value of their general internalization is at least as great as for any alternative rules. In the course of developing his rule-consequentialism, Hooker discusses impartiality, well-being, fairness, equality, the question of how the "general internalization" of rules is to be interpreted by rule-consequentialism, and the main objections to rule-consequentialism. He also discusses the social contract theory of morality, act-consequentialism, and the question of which moral prohibitions and which duties to help others rule-consequentialism endorses. The last part of the book considers the implications of rule-consequentialism for some current controversies in practical ethics.
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Lineare Codes
Die kompakte Darstellung einer in sich geschlossenen Theorie der linearen Codes wird vervollständigt durch die Implementierung eines Codes für AVR-Mikrocontroller. Zur Straffung der Entwicklung der Theorie wird etwas Homologie-Theorie eingesetzt. Es wird eine einfache Methode zur Konstruktion von Codes mit gegebenen Eigenschaften vorgestellt.Die Realisierung der Arithmetik endlicher Körper ist die Grundlage linearer Codes. Es werden deshalb zwei Verfahren hergeleitet und für verschiedene Mikrocontroller implementiert. Zur Konstruktion zyklischer Codes sind Polynome zu zerlegen, dazu werden zwei Verfahren ausführlich abgeleitet.Lineare Codes erfordern Polynomarithmetik und die Lösung linearer Gleichungssysteme über endlichen Körpern. Es wird gezeigt, wie beides in sehr effektive Programme für AVR-Mikrocontroller umgesetzt werden kann.Um zu einer durchgehend einheitlichen Symbolik zu gelangen enthält das Buch ein längeres Kapitel mit allen benötigten algebraischen Grundlagen. Weitere Hilfsmittel werden also nicht benötigt.
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Code Copying
This book presents Lars Johanson’s Code-Copying Model, an integrated framework for the description of contact-induced processes. The model covers all the main contact linguistic issues in their synchronic and diachronic interrelationship. The terminology is kept intuitive and simple to apply. Illustrative examples from a wide range of languages demonstrate the model’s applicability to both spoken and written codes. The fundamental difference between ‘take-over’ copying and ‘carry-over’ copying is given special value. Speakers can take over copies from a secondary code into their own primary code, or alternatively carry over copies from their own primary code into their variety of a secondary code. The results of these two types of copying are significantly different and thus provide insights into historical processes.
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Pragmatic Clean Code
Write cleaner, easier-to-maintain code by learning practical refactoring techniques for names, functions, classes, dependencies, and tests Key FeaturesWrite readable, well-structured code that is easy to modify.Apply SOLID principles through practical examples.Recognize code smells and know when to refactor.Turn messy code into maintainable solutions through step-by-step case studies.Print or Kindle purchase includes a free PDF eBook.Book DescriptionMost advice about code quality stops at the surface. Use good names. Keep methods short. This book goes further by explaining why clean code principles exist, what they achieve, and how to apply them with practical judgment.You’ll begin with naming and method design before moving into classes and the SOLID principles as tools for everyday design decisions. You’ll then explore how coupling, cohesion, reuse, inheritance, and composition affect how easily a system can evolve.The book also shows why well-designed code tends to be testable code and how dependency injection, unit tests, and mocks make changes safer. Formatting, comments, and other clean-code practices are considered in the situations where they affect maintainability.Step-by-step refactoring case studies show not only what cleaner code looks like, but why each design decision is made. Although the examples use C#, the principles apply well beyond it, so developers working in other languages will find them useful too.Written by software developer and programming instructor Krystyna Ślusarczyk, this book emphasizes practical judgment over memorized rules. By the end, you’ll be able to identify maintainability problems and refactor code into software that is easier to understand, test, and change.What you will learnChoose clear, expressive, and consistent namesDesign focused functions with effective signaturesApply SOLID principles to everyday design decisionsReduce coupling between classes and improve cohesion within themOrganize classes and projects so the codebase is easy to navigateWrite readable unit tests and improve testabilityRefactor messy C# code to make it readable, testable, and easy to extendWho this book is forThis book is for developers who want to write code that is easier to read, modify, and maintain. It is particularly useful for anyone working in messy or legacy codebases who want a systematic approach to improving them, junior developers looking to build strong professional coding habits, and seniors who want to sharpen their skills and lead by example during code reviews. A basic understanding of programming and object-oriented concepts is recommended.
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Introduction to Error Correcting Codes with Applications
5. 2 Rings and Ideals 148 5. 3 Ideals and Cyclic Subspaces 152 5. 4 Generator Matrices and Parity-Check Matrices 159 5. 5 Encoding Cyclic Codest 163 5. 6 Syndromes and Simple Decoding Procedures 168 5. 7 Burst Error Correcting 175 5. 8 Finite Fields and Factoring xn-l over GF(q) 181 5. 9 Another Method for Factoring xn-l over GF(q)t 187 5. 10 Exercises 193 Chapter 6 BCH Codes and Bounds for Cyclic Codes 6. 1 Introduction 201 6. 2 BCH Codes and the BCH Bound 205 6. 3 Bounds for Cyclic Codest 210 6. 4 Decoding BCH Codes 215 6. 5 Linearized Polynomials and Finding Roots of Polynomialst 224 6. 6 Exercises 231 Chapter 7 Error Correction Techniques and Digital Audio Recording 7. 1 Introduction 237 7. 2 Reed-Solomon Codes 237 7. 3 Channel Erasures 240 7. 4 BCH Decoding with Erasures 244 7. 5 Interleaving 250 7. 6 Error Correction and Digital Audio Recording 256 7.
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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 Like a Pro in Rust
Get ready to code like a pro in Rust! This hands-on guide dives deep into memory management, asynchronous programming, and Rust design patterns and explores essential productivity techniques like testing, tooling, and project management. In Code Like A Pro in Rust you will learn: Essential Rust toolingCore Rust data structuresMemory managementDesign patterns for RustTesting in RustAsynchronous programming for RustOptimized RustRust project management Code Like A Pro in Rust is a fast-track guide to building and delivering professional quality software in Rust. You’ll upgrade your basic knowledge of Rust with conventions, best practices, and veteran’s secrets that are normally only learned through years of experience. Skip the fluff and get right to the heart of this powerful modern language, including Rust’s support for asynchronous programming and integrating Rust with codebases written in other languages. about the technology Programmers prize Rust for its safety, performance, and security. However, its strict syntax and tricky memory management can make it challenging to master. This practical guide shows you how to balance Rust’s trade offs, lessen its cognitive load, and rapidly bring your productivity to a professional level. about the book Code Like a Pro in Rust shows you how to quickly create and ship Rust programs without wasting time on language quirks, compiler problems, and unexpected complexities. It builds on your existing Rust knowledge with design patterns and shortcuts direct from veteran Rust contributor Brenden Matthews. You’ll learn to use important Rust tooling like rust-analyzer, Clippy, and Cargo, as well as best practices for unit testing and code optimization. By the time you’re done, you’ll be writing high quality code with less maintenance overhead. RETAIL SELLING POINTS • Essential Rust tooling • Core Rust data structures • Memory management • Design patterns for Rust • Testing in Rust • Asynchronous programming for Rust • Optimized Rust • Rust project management AUDIENCE For aspiring Rust pros familiar with the basics of the language.
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Codes, Designs and Geometry
Codes, Designs, and Geometry brings together in one place important contributions and up-to-date research results in this important area. Codes, Designs, and Geometry serves as an excellent reference, providing insight into some of the most important research issues in the field.
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Variable-length Codes for Data Compression
Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties and these can be useful. This book brings this large set of codes to the attention of workers in the field and for students of computer science. The author’s crystal clear style of writing and presentation allows easy access to the topic.
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