Lutz M. - Learning Python, 4th Edition [2009, PDF, ENG] torrent

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Learning Python, 4th Edition

Год выпуска: 2009
Автор: Mark Lutz
Издательство: O'Reilly
ISBN: 0-596-80598-5
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 1216
Описание: Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python 3.0 quickly. Each chapter includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go.

Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course.

Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0.

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 using functions, 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
Доп. информация: http://oreilly.com/catalog/9780596158071