Python Pocket Reference

Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference.

Python Pocket Reference

More Books:

Python Pocket Reference
Language: en
Pages: 266
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2014-01-22 - Publisher: "O'Reilly Media, Inc."

Updated for both Python 3.4 and 2.7, this convenient pocket guide is the perfect on-the-job quick reference. You’ll find concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools. The handy index lets you pinpoint
Python Pocket Reference
Language: en
Pages: 124
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2002 - Publisher: "O'Reilly Media, Inc."

This book is a companion volume to two O'Reilly Animal Guides, " Programming Python" and "Learning Python." It summarizes Python statements and types, built-in functions, commonly used library modules, and other prominent Python language features. This pocket reference covers the latest Python release and complements Python's online reference material.
Machine Learning Pocket Reference
Language: en
Pages: 303
Authors: Matt Harrison
Categories: Computers
Type: BOOK - Published: 2019-09-10 - Publisher: O'Reilly Media

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal
Python Pocket Reference
Language: en
Pages:
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2005 - Publisher:

Books about Python Pocket Reference
Python Pocket Reference, Third Edition
Language: en
Pages: 160
Authors: Mark Lutz
Categories: Computers
Type: BOOK - Published: 2005 - Publisher:

Python is optimized for quality, productivity, portability, and integration. Hundreds of thousands of Python developers around the world rely on Python for general-purpose tasks, Internet scripting, systems programming, user interfaces, and product customization. Available on all major computing platforms, including commercial versions of Unix, Linux, Windows, and Mac OS X,