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Mark Lutz

    Mark Lutz je svetový líder v tréningu Pythonu, autor najstarších a najpredávanejších textov o Pythone a priekopník v komunite Pythonu. Jeho práca zásadne prispela k tomu, že sa Python stal jedným z najrozšírenejších programovacích jazykov na svete. Lutz sa aktívne venuje vývoju a propagácii Pythonu od roku 1992, začal písať knihy a učiť v polovici 90. rokov. Vďaka rozsiahlym skúsenostiam s výučbou a písaním kníh sa stal kľúčovou postavou v oblasti softvérového vývoja, kde sa zameriava na kompilátory, skriptovacie aplikácie a klientsko-serverové systémy.

    (Alb-)Traumjob Redakteur
    Python pocket reference
    Learning Python
    • Python pocket reference

      • 266 stránok
      • 10 hodin čítania

      Updated for both Python 3.4 and 2.7, this guide provides concise information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools.--From back cover.

      Python pocket reference1999
      4,0
    • Learning Python

      • 1540 stránok
      • 54 hodin čítania

      If you want to write efficient, high-quality code that s easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly. Learning Python, Fifth Edition, is an easy-to-follow, self-paced tutorial based on author and Python expert Mark Lutz s popular training course.§You ll find lots of annotated examples and illustrations to help you get started with Python 2.7 and 3.3. Each chapter contains a standalone lesson on a key component of the language.§Learn about Python s major built-in object types such as numbers, lists, and dictionaries§Create and process objects using Python statements, and learn Python s general syntax model§Structure and reuse code with Python s basic procedural tool§Learn about Python modules: packages of statements, functions, and other tools organized into larger components§Discover Python s object-oriented programming tool for structuring code§Learn about the exception-handling model and development tools for writing larger programs§Explore advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

      Learning Python1999
      4,0