| Mark Lutz - Programming Python, 4th Edition - 2014.apk | 19.16 MB | ||
| Mark Lutz - Programming Python, 4th Edition - 2014.daisy | 7.99 MB | ||
| Mark Lutz - Programming Python, 4th Edition - 2014.epub | 18.54 MB | ||
| Mark Lutz - Programming Python, 4th Edition - 2014.mobi | 56.82 MB | ||
| Mark Lutz - Programming Python, 4th Edition - 2014.pdf | 25.74 MB |
Книги и журналы » Компьютерная литература » Программирование (книги)
Programming Python, 4th Edition
Год: 2014
Автор: Mark Lutz
Издательство: O'Reilly
ISBN: 978-0-596-15810-1
Язык: Английский
Формат: PDF, ePub, mobi, apk, daisy
Качество: Изначально компьютерное (eBook)
Количество страниц: 1628
Описание: 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
[spoiler="Примеры страниц"]
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