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Programming Python [powerful object-oriented programming ; covers Python 3.x

معرفی کتاب «Programming Python [powerful object-oriented programming ; covers Python 3.x» نوشتهٔ Mark Lutz، منتشرشده توسط نشر O'Reilly Media در سال 2011. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است. «Programming Python [powerful object-oriented programming ; covers Python 3.x» در دستهٔ بدون دسته‌بندی قرار دارد.

If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many roles in practical, real-world programming. You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose. Topics include: * **Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basics** * **System programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and more** * **GUI programming: Learn to use Python’s tkinter widget library** * **Internet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniques** * **More ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python** If you've mastered Python's fundamentals, you're ready to start using it to get real work done. Programming Python will show you how, with in-depth tutorials on the language's primary application domains: system administration, GUIs, and the Web. You'll also explore how Python is used in databases, networking, front-end scripting layers, text processing, and more. This book focuses on commonly used tools and libraries to give you a comprehensive understanding of Python’s many roles in practical, real-world programming.You'll learn language syntax and programming techniques in a clear and concise manner, with lots of examples that illustrate both correct usage and common idioms. Completely updated for version 3.x, Programming Python also delves into the language as a software development tool, with many code examples scaled specifically for that purpose.Topics include:Quick Python tour: Build a simple demo that includes data representation, object-oriented programming, object persistence, GUIs, and website basicsSystem programming: Explore system interface tools and techniques for command-line scripting, processing files and folders, running programs in parallel, and moreGUI programming: Learn to use Python’s tkinter widget libraryInternet programming: Access client-side network protocols and email tools, use CGI scripts, and learn website implementation techniquesMore ways to apply Python: Implement data structures, parse text-based information, interface with databases, and extend and embed Python Provides information and tutorials on Python's application domains and its use in databases, networking, scripting layers, and text processing. Pt. 1. The beginning. A sneak preview -- Pt. 2. System programming. System tools -- Script execution context -- File and directory tools -- Parallel system tools -- Complete system programs -- Pt. 3. GUI programming. Graphical user interfaces -- A tkinter tour -- GUI coding techniques -- Complete GUI programs -- Pt. 4. Internet programming. Network scripting -- Client-side scripting -- The PyMailGUI client -- Server-side scripting -- The PyMailCGI server -- Pt. 5. Tools and techniques. Databases and persistence -- Data structures -- Text and language -- Python/C integration -- Conclusion: Python and the development cycle
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