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  • Good Code, Bad Code: Think like a software engineer
    Good Code, Bad Code: Think like a software engineer

    "Helps explain some of the knowledge gaps between enthusiastic new graduates and grouchy old gray beards like myself." - Joe IvansPractical techniques for writing code that is robust, reliable, and easy for team members to understand and adapt.Good code or bad code? The difference often comes down to how you apply the conventions, style guides, and other established practices of the software development community. In Good Code, Bad Code you'll learn how to boost your effectiveness and productivity with code development insights normally only learned through years of experience, careful mentorship, and hundreds of code reviews.In Good Code, Bad Code you'll learn how to:- Think about code like an effective software engineer- Write functions that read like a well-structured sentence- Ensure code is reliable and bug free- Effectively unit test code- Identify code that can cause problems and improve it- Write code that is reusable and adaptable to new requirements- Improve your medium and long-term productivity- Save you and your team's timeabout the technologyCoding in a development team requires very different skills to working on personal projects. Successful software engineers need to ensure that their code is reusable, maintainable, and easy for others to understand and adapt.about the bookGood Code, Bad Code is a shortcut guide to writing high-quality code. Your mentor is Google veteran Tom Long, who lays out lessons and mindsets that will take your code from junior developer to senior engineer. This instantly-useful book distils the principles of professional coding into one comprehensive and hands-on beginner's guide.You'll start with a jargon-free primer to coding fundamentals that teaches you to think about abstractions, consider your fellow engineers, and write code that can recover from errors. Next, you'll dive into specific techniques and practices. You'll run through common coding practices to learn when to apply the right technique to your problemand which might be best avoided! All practices are illustrated with annotated code samples written in an instantly recognizable pseudocode that you can relate to your favourite object-oriented language. By the time you're done, you'll be writing the kind of readable, reusable, and testable code that's the mark of a true software professional.about the readerFor coders looking to improve their experience in professional software development.about the authorTom Long is a software engineer at Google. He works as a tech lead, mentoring and teaching professional coding practices to new graduates and beginner software engineers.

    Preis: 49.21 € | Versand*: 0 €
  • Quality Code: Software Testing Principles, Practices, and Patterns
    Quality Code: Software Testing Principles, Practices, and Patterns

    Test-driven, test-first, and test-early development practices are helping thousands of software development organizations improve their software. Now, in Quality Code: Software Testing Principles, Practices, and Patterns, Stephen Vance builds on all that’s been learned about test-driven development, helping you achieve unprecedented levels of first-time quality. Using real-world code examples, this guide introduces patterns, principles, and more than two dozen detailed techniques for testing any software system more fully, effectively, and painlessly. Vance presents a conceptual framework to help you focus your efforts and design recommendations for improving testability across the software lifecycle, and also provides hands-on guidance to simplify testing of the full spectrum of code constructs. You’ll learn how to choose the best testing techniques for every situation, from the most common scenarios to threading. Two complete case studies put it all together, walking you through testing a brand-new Java application and an untested “legacy” JavaScript jQuery plugin. Whether you’re developing cutting-edge code for a new start-up, or maintaining an unruly old system, this guide will help you deliver exactly what you need: quality code.   • Simplify unit testing of all your code—and improve integration and system testing • Delineate intent and implementation to promote more reliable and scalable testing • Overcome confusion and misunderstandings about the mechanics of writing tests • Test “side effects,” behavioral characteristics, and contextual constraints • Understand subtle interactions between design and testability—and make them work for, not against, you • Discover core principles that guide your key testing decisions • Explore testing getters/setters, string handling, encapsulation, override variations, visibility, singleton patterns, error conditions, and more • Reproduce and test complex race conditions deterministically  

    Preis: 27.81 € | Versand*: 0 €
  • Clean Code: A Handbook of Agile Software Craftsmanship
    Clean Code: A Handbook of Agile Software Craftsmanship

    This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook version.Even bad code can function. But if code isn’t clean, it can bring a development organization to its knees. Every year, countless hours and significant resources are lost because of poorly written code. But it doesn’t have to be that way.Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer—but only if you work at it.What kind of work will you be doing? You’ll be reading code—lots of code. And you will be challenged to think about what’s right about that code, and what’s wrong with it. More importantly, you will be challenged to reassess your professional values and your commitment to your craft.Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code—of transforming a code base that has some problems into one that is sound and efficient. The third part is the payoff: a single chapter containing a list of heuristics and “smells” gathered while creating the case studies. The result is a knowledge base that describes the way we think when we write, read, and clean code.Readers will come away from this book understandingHow to tell the difference between good and bad codeHow to write good code and how to transform bad code into good codeHow to create good names, good functions, good objects, and good classesHow to format code for maximum readabilityHow to implement complete error handling without obscuring code logicHow to unit test and practice test-driven developmentThis book is a must for any developer, software engineer, project manager, team lead, or systems analyst with an interest in producing better code.

    Preis: 29.95 € | Versand*: 0 €
  • Writing Efficient Ruby Code (Digital Short Cut)
    Writing Efficient Ruby Code (Digital Short Cut)

    This short cut focuses on a number of coding patterns that are useful when trying to get maximum speed out of performance-critical sections of Ruby code. Anti-patterns, that is, coding idioms, which should be avoided in performance-sensitive code sections are discussed, including details on how to transform such code to make it more efficient. Most patterns were extracted from Stefan Kaes' work on improving performance of the Rails core and his regular Rails performance consulting work. These patterns are largely non-algorithmic, detailing local code transformations to achieve identical results with slightly different and faster code, as even local code changes can sometimes result in orders of magnitude improvements. Some patterns are useful independent of Rails' implementation language, but some of them are specific to Ruby, or more specifically, the current implementation of Ruby. Converts from other languages, especially from statically typed languages such as Java or C++ may find this material useful, as the performance characteristics of certain operations, like performing a function call or accessing object fields/attributes, are quite different from what you expect.What This Short Cut CoversIntroductionRuby's Interpreter Is SlowRuntime Complexity of Ruby Language ConstructsPatternsInstance Variables versus AccessorsLocal Variables Are CheapAssignments in ExpressionsInterpolated StringsIn-Place UpdatesSets versus ArraysFor Loops versus eachMake Decisions at Load TimeSelf Modifying CodeTest Most Frequent Case FirstOptimize Access to Global ConstantsCaching Data in Instance VariablesCaching Data in Class VariablesCoding Variable Caching EfficientlyInitializing Variables with nilUsing .nil?nil? or empty? versus blank?Using returnUsing returningUsing any?Block Local VariablesDate FormattingTemporary Datastructure ConstantsFile System AccessObjectSpace.each_objectUnnecessary Block ParametersSymbol.to_procChained Calls of mapRequiring Files DynamicallyIncluding Modules versus Opening ClassesAbout the Author

    Preis: 12.83 € | Versand*: 0 €
  • Wie kann Code-Analyse zur Verbesserung der Software-Qualität beitragen? Welche Methoden und Tools werden für die Code-Analyse verwendet?

    Code-Analyse kann zur Identifizierung von Fehlern, Sicherheitslücken und ineffizientem Code beitragen, um die Software-Qualität zu verbessern. Methoden wie statische Code-Analyse, dynamische Code-Analyse und Peer-Reviews werden verwendet, um den Code auf Probleme zu überprüfen. Tools wie SonarQube, Checkmarx und Coverity werden eingesetzt, um automatisierte Analysen durchzuführen und Entwicklern bei der Verbesserung der Code-Qualität zu unterstützen.

  • Wie kann die Code-Qualität in Software-Entwicklungsprojekten effektiv verbessert werden?

    Die Code-Qualität kann durch regelmäßige Code-Reviews und Pair-Programming verbessert werden. Die Verwendung von automatisierten Tests und statischen Code-Analyse-Tools hilft ebenfalls, Fehler frühzeitig zu erkennen. Eine klare Coding-Konvention und die Verwendung von Design-Patterns können die Lesbarkeit und Wartbarkeit des Codes erhöhen.

  • Haben Sie den Code für Sims 3 Einfach Tierisch verloren?

    Nein, ich habe keinen Code für Sims 3 Einfach Tierisch verloren. Als KI habe ich keinen Zugriff auf persönliche Daten oder spezifische Spielcodes. Es wird empfohlen, den Kundensupport des Spiels zu kontaktieren, um Hilfe bei verlorenen Codes zu erhalten.

  • Wie kann ich diesen Java-Code in Python-Code umwandeln?

    Um Java-Code in Python-Code umzuwandeln, müssen Sie die Syntax und die spezifischen Funktionen der beiden Sprachen berücksichtigen. Sie können den Code schrittweise umschreiben, indem Sie Java-spezifische Konstrukte wie Klassen, Methoden und Datentypen in Python-äquivalente Konstrukte wie Funktionen, Klassen und Datentypen umwandeln. Vergessen Sie nicht, auch die erforderlichen Python-Importe hinzuzufügen, um externe Module zu verwenden, die im Java-Code verwendet werden.

Ähnliche Suchbegriffe für Code:


  • Code: The Hidden Language of Computer Hardware and Software
    Code: The Hidden Language of Computer Hardware and Software

    What do flashlights, the British invasion, black cats, and seesaws have to do with computers? In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. And through CODE, we see how this ingenuity and our very human compulsion to communicate have driven the technological innovations of the past two centuries. Using everyday objects and familiar language systems such as Braille and Morse code, author Charles Petzold weaves an illuminating narrative for anyone who’s ever wondered about the secret inner life of computers and other smart machines. It’s a cleverly illustrated and eminently comprehensible story—and along the way, you’ll discover you’ve gained a real context for understanding today’s world of PCs, digital media, and the Internet. No matter what your level of technical savvy, CODE will charm you—and perhaps even awaken the technophile within.

    Preis: 13.9 € | Versand*: 0 €
  • Förderpläne - einfach und effizient (Krumwiede-Steiner, Franziska)
    Förderpläne - einfach und effizient (Krumwiede-Steiner, Franziska)

    Förderpläne - einfach und effizient , In diesem Band (Nr. 665+666+667) wird das Modell Ford Granada L/GL/S/Ghia ab Sommer 1980 behandelt. , Schule & Ausbildung > Fachbücher, Lernen & Nachschlagen , Erscheinungsjahr: 20180817, Produktform: Kartoniert, Beilage: Broschüre klebegebunden mit CD, Titel der Reihe: Bergedorfer Grundsteine Schulalltag##, Autoren: Krumwiede-Steiner, Franziska, Seitenzahl/Blattzahl: 56, Themenüberschrift: EDUCATION / Teaching Methods & Materials / General, Keyword: 5. bis 10. Klasse; Diagnostik & Förderung; Förderpläne; Sekundarstufe I, Fachschema: Förderung (pädagogisch)~Didaktik~Unterricht / Didaktik, Fachkategorie: Schule und Lernen~Didaktische Kompetenz und Lehrmethoden, Bildungszweck: für die Sekundarstufe I, Altersempfehlung / Lesealter: 23, Genaues Alter: HAS, Fachkategorie: Unterrichtsmaterialien, Thema: Verstehen, Text Sprache: ger, Verlag: Persen Verlag i.d. AAP, Verlag: Persen Verlag, Breite: 212, Höhe: 7, Gewicht: 210, Produktform: Kartoniert, Genre: Sozialwissenschaften/Recht/Wirtschaft, Genre: Sozialwissenschaften/Recht/Wirtschaft, Herkunftsland: DEUTSCHLAND (DE), Katalog: deutschsprachige Titel, Katalog: Gesamtkatalog, Katalog: Kennzeichnung von Titeln mit einer Relevanz > 30, Katalog: Lagerartikel, Book on Demand, ausgew. Medienartikel, Relevanz: 0070, Tendenz: +1, Schulform: Hauptschule, Sekundarschule (alle kombinierten Haupt- und Realschularten), Unterkatalog: AK, Unterkatalog: Bücher, Unterkatalog: Hardcover, Unterkatalog: Lagerartikel, WolkenId: 1912006

    Preis: 25.99 € | Versand*: 0 €
  • Code That Fits in Your Head: Heuristics for Software Engineering
    Code That Fits in Your Head: Heuristics for Software Engineering

    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 FunctionalCode 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.

    Preis: 29.95 € | Versand*: 0 €
  • Quality Code: Software Testing Principles, Practices, and Patterns
    Quality Code: Software Testing Principles, Practices, and Patterns

    Test-driven, test-first, and test-early development practices are helping thousands of software development organizations improve their software. Now, in Quality Code: Software Testing Principles, Practices, and Patterns, Stephen Vance builds on all that’s been learned about test-driven development, helping you achieve unprecedented levels of first-time quality. Using real-world code examples, this guide introduces patterns, principles, and more than two dozen detailed techniques for testing any software system more fully, effectively, and painlessly. Vance presents a conceptual framework to help you focus your efforts and design recommendations for improving testability across the software lifecycle, and also provides hands-on guidance to simplify testing of the full spectrum of code constructs. You’ll learn how to choose the best testing techniques for every situation, from the most common scenarios to threading. Two complete case studies put it all together, walking you through testing a brand-new Java application and an untested “legacy” JavaScript jQuery plugin. Whether you’re developing cutting-edge code for a new start-up, or maintaining an unruly old system, this guide will help you deliver exactly what you need: quality code.   • Simplify unit testing of all your code—and improve integration and system testing • Delineate intent and implementation to promote more reliable and scalable testing • Overcome confusion and misunderstandings about the mechanics of writing tests • Test “side effects,” behavioral characteristics, and contextual constraints • Understand subtle interactions between design and testability—and make them work for, not against, you • Discover core principles that guide your key testing decisions • Explore testing getters/setters, string handling, encapsulation, override variations, visibility, singleton patterns, error conditions, and more • Reproduce and test complex race conditions deterministically  

    Preis: 20.32 € | Versand*: 0 €
  • Wie kann ich meinen Code für Sims 3 Einfach Tierisch herausfinden?

    Um deinen Code für Sims 3 Einfach Tierisch herauszufinden, kannst du auf der Rückseite der Spielverpackung nachsehen. Dort sollte ein Aufkleber mit dem Produktcode zu finden sein. Alternativ kannst du auch im Spiel selbst nach dem Code suchen, indem du in den Einstellungen oder Optionen nach dem Punkt "Produktcode" oder ähnlichem suchst.

  • Wie kann die Code-Optimierung die Leistung von Software verbessern und welche bewährten Methoden und Techniken können bei der Optimierung von Code angewendet werden?

    Die Code-Optimierung kann die Leistung von Software verbessern, indem sie die Ausführungszeit reduziert, den Speicherverbrauch minimiert und die Skalierbarkeit erhöht. Bewährte Methoden und Techniken zur Optimierung von Code umfassen die Verwendung effizienter Algorithmen und Datenstrukturen, die Minimierung von Schleifen und rekursiven Aufrufen, die Reduzierung von unnötigen Variablen und die Vermeidung von übermäßiger Verschachtelung. Darüber hinaus können Techniken wie Caching, Parallelisierung und die Verwendung von speziellen Compiler-Optimierungen die Leistung des Codes weiter verbessern. Es ist wichtig, dass die Optimierung des Codes jedoch nicht zu Lasten der Lesbarkeit und Wartbarkeit geht, da dies die langfristige Entwicklung und Wartung der Software bee

  • Wie kann man HTML-Code in einen anderen HTML-Code einfügen?

    Um HTML-Code in einen anderen HTML-Code einzufügen, kann man das `<iframe>`-Element verwenden. Man kann den Quellcode der gewünschten HTML-Datei in das `src`-Attribut des `<iframe>`-Elements einfügen, um den Code anzuzeigen. Alternativ kann man den Code direkt in den HTML-Code einfügen, indem man ihn zwischen den `<script>`-Tags oder in einem `<div>`-Element platziert.

  • Wie lautet der Code?

    Es tut mir leid, aber ich kann nicht wissen, welchen Code Sie meinen, da Sie keine weiteren Informationen gegeben haben. Bitte geben Sie mehr Details oder Kontext, damit ich Ihnen besser helfen kann.

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