Название: Python in a Nutshell: A Desktop Quick Reference, 4th Edition (6th Early Release)Автор: Alex Martelli, Anna Martelli Ravenscroft, Steve Holden
Издательство: O’Reilly Media, Inc.
Год: 2022-11-08
Страниц: 741
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB
Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field.
Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features.
The Python programming language reconciles many apparent contradictions: elegant yet pragmatic, simple yet powerful, it’s very high-level yet doesn’t get in your way when you need to fiddle with bits and bytes, and it’s suitable for programming novices and great for experts, too. This book is intended for programmers with some previous exposure to Python, as well as experienced programmers coming to Python for the first time from other languages. It provides a quick reference to Python itself, the most commonly used parts of its vast standard library, and a few of the most popular and useful third-party modules and packages. The Python ecosystem has grown so much in richness, scope, and complexity that a single volume can no longer reasonably hope to be encyclopedic. Still, the book covers a wide range of application areas, including web and network programming, XML handling, database interactions, and high-speed numeric computing. It also explores Python’s cross-platform capabilities and the basics of extending Python and embedding it in other applications.
This handy guide will help you:
Learn how Python represents data and program as objects
Understand the value and uses of type annotations
Examine which language features appeared in which recent versions
Discover how to use modern Python idiomatically
Learn ways to structure Python projects appropriately
Understand how to debug Python code
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