9781098113551-1098113551-Python in a Nutshell: A Desktop Quick Reference

Python in a Nutshell: A Desktop Quick Reference

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ISBN-13: 9781098113551
ISBN-10: 1098113551
Edition: 4
Author: Paul McGuire, Alex Martelli, Anna Ravenscroft, Steve Holden
Publication date: 2023
Publisher: O'Reilly Media
Format: Paperback 735 pages
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Book details

ISBN-13: 9781098113551
ISBN-10: 1098113551
Edition: 4
Author: Paul McGuire, Alex Martelli, Anna Ravenscroft, Steve Holden
Publication date: 2023
Publisher: O'Reilly Media
Format: Paperback 735 pages

Summary

Python in a Nutshell: A Desktop Quick Reference (ISBN-13: 9781098113551 and ISBN-10: 1098113551), written by authors Paul McGuire, Alex Martelli, Anna Ravenscroft, Steve Holden, was published by O'Reilly Media in 2023. With an overall rating of 3.6 stars, it's a notable title among other Business Technology (Computer Science, Data Processing, Databases & Big Data, Programming, Web Development & Design, Internet & Social Media) 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 Business Technology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $26.09.

Description

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.
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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