Python programming Опции

[Williams]

Burkhard A. Meier- Python GUI Programming Cookbook, 2nd Edition

Packt Publishing, 2017
PDF, EPUB, AZW3 - 422 pages, english
ISBN 139781787129450



Master over 80 object-oriented recipes to create amazing GUIs in Python and revolutionize your applications today

Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary.

This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Each and every recipe adds more widgets to the GUIs we are creating. While the cookbook recipes all stand on their own, there is a common theme running through all of them. As our GUIs keep expanding, using more and more widgets, we start to talk to networks, databases, and graphical libraries that greatly enhance our GUI’s functionality. This book is what you need to expand your knowledge on the subject of GUIs, and make sure you’re not missing out in the long run.

http://m.turbobit.net/c38qyc46plic.html
27 Mb

[Williams]

Mark Lutz - Python Pocket Reference: Python In Your Pocket, 5th Edition (Rev. 5)

O'Reilly Media, 2018
pdf, 264 pages, english
ISBN-13: 978-1449357016
ISBN-10: 1449357016



This pocket reference summarizes Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. It is intended to serve as a concise reference tool for developers and is designed to be a companion to other books that provide tutorials, code examples, and other learning materials.

This fifth edition covers both Python 3.X and 2.X. It focuses primarily on 3.X, but also documents differences in 2.X along the way. Specifically, this edition has been updated to be current with Python versions 3.3 and 2.7 as well as prominent enhancements in the imminent 3.4 release, although most of its content also applies both to earlier and to later releases in the 3.X and 2.X lines.

This edition also applies to all major implementations of Python—including CPython, PyPy, Jython, IronPython, and Stackless—and has been updated and expanded for recent changes in language, libraries, and practice. Its changes include new coverage of the MRO and super(); formal algorithms of inheritance, imports, context managers, and block indentation; and commonly used library modules and tools, including json, timeit, random, subprocess, enum, and the new Windows launcher.

This fifth edition covers:
• Built-in object types, including numbers, lists, dictionaries, and more
• Statements and syntax for creating and processing objects
• Functions and modules for structuring and reusing code
• Python's object-oriented programming tools
• Built-in functions, exceptions, and attributes
• Special operator overloading methods
• Widely used standard library modules and extensions
• Command-line options and development tools
• Python idioms and hints
• The Python SQL Database API

https://turbobit.net/2m1utxqpkxda.html




Brett Slatkin - Effective Python

Addison-Wesley Professional, 2015
pdf, 238 pages, english
ISBN-13: 978-0134034287
ISBN-10: 9780134034287



It's easy to start writing code with Python: that's why the language is so immensely popular. However, Python has unique strengths, charms, and expressivity that can be hard to grasp at first -- as well as hidden pitfalls that can easily trip you up if you aren't aware of them. Effective Python will help you harness the full power of Python to write exceptionally robust, efficient, maintainable, and well-performing code. Utilizing the concise, scenario-driven style pioneered in Scott Meyers's best-selling Effective C++, Brett Slatkin brings together 59 Python best practices, tips, shortcuts, and realistic code examples from expert programmers.

Through realistic examples, Slatkin uncovers little-known Python quirks, intricacies, and idioms that powerfully impact code behavior and performance. You'll learn how to choose the most efficient and effective way to accomplish key tasks when multiple options exist, and how to write code that's easier to understand, maintain, and improve.

https://turbobit.net/vjf0y3weocae.html