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Autor(en): 
  • Lutz Mark
  • Learning Python: Powerful Object-Oriented Programming 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  März 2025  
    Genre:  EDV / Informatik 
     
    COMPUTERS / Internet / Web Programming / COMPUTERS / Languages / Python / COMPUTERS / Programming / Object Oriented / COMPUTERS / Software Development & Engineering / Tools / Programming & scripting languages# general / Programming and scripting languages# general / Python 3.12 3.x object-oriented functional google functions models operators programming language scripting mark lutz
    ISBN:  9781098171308 
    EAN-Code: 
    9781098171308 
    Verlag:  O'Reilly 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 233 mm / B 178 mm / D 59 mm 
    Gewicht:  1934 gr 
    Seiten:  1500 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz's popular training course, this updated sixth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages.

    Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow self-paced tutorial gets you started with Python 3.12 and all other releases in use today. With a pragmatic focus on what you need to know, it also introduces some advanced language features that have become increasingly common in Python code.

    This book helps you:

    • Explore Python's built-in object types such as strings, lists, dictionaries, and files
    • Create and process objects with Python statements, and learn Python's syntax model
    • Use functions and functional programming to avoid redundancy and maximize reuse
    • Organize code into larger components with modules and packages
    • Code robust programs with Python's exception handling and development tools
    • Apply object-oriented programming and classes to make code customizable
    • Survey advanced Python tools including decorators, descriptors, and metaclasses
    • Write idiomatic Python code that runs portably across a wide variety of platforms

      
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