9781449392925-144939292X-Python in a Nutshell: A Desktop Quick Reference

Python in a Nutshell: A Desktop Quick Reference

ISBN-13: 9781449392925
ISBN-10: 144939292X
Edition: 3
Author: Alex Martelli, Steve Holden, Anna Martelli Ravenscroft
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 772 pages
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Book details

ISBN-13: 9781449392925
ISBN-10: 144939292X
Edition: 3
Author: Alex Martelli, Steve Holden, Anna Martelli Ravenscroft
Publication date: 2017
Publisher: O'Reilly Media
Format: Paperback 772 pages

Summary

Python in a Nutshell: A Desktop Quick Reference (ISBN-13: 9781449392925 and ISBN-10: 144939292X), written by authors Alex Martelli, Steve Holden, Anna Martelli Ravenscroft, was published by O'Reilly Media in 2017. With an overall rating of 4.1 stars, it's a notable title among other Software Design, Testing & Engineering (Microsoft Programming, Programming, Functional) books. You can easily purchase or rent Python in a Nutshell: A Desktop Quick Reference (Paperback) from BooksRun, along with many other new and used Software Design, Testing & Engineering books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $5.8.

Description

Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among today’s most popular programming languages. The third edition of this practical book provides a quick reference to the language—including Python 3.5, 2.7, and highlights of 3.6—commonly used areas of its vast standard library, and some of the most useful third-party modules and packages.

Ideal for programmers with some Python experience, and those coming to Python from other programming languages, this book covers a wide range of application areas, including web and network programming, XML handling, database interactions, and high-speed numeric computing. Discover how Python provides a unique mix of elegance, simplicity, practicality, and sheer power.

This edition covers:

  • Python syntax, Object-Oriented Python, standard library modules, and third-party Python packages
  • Python’s support for file and text operations, persistence and databases, concurrent execution, and numeric computations
  • Networking basics, event-driven programming, and client-side network protocol modules
  • Python extension modules, and tools for packaging and distributing extensions, modules, and applications
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