The Hitchhiker's Guide to Python: Best Practices for Development

The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language,...
HK$454.94
HK$454.94
SKU: 9781491933176
Product Type: Books
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Author: Kenneth Reitz
Format: Paperback
Language: English
Subtotal: $454.94
The Hitchhiker's Guide to Python: Best Practices for Development by Reitz, Kenneth

The Hitchhiker's Guide to Python: Best Practices for Development

$454.94

The Hitchhiker's Guide to Python: Best Practices for Development

$454.94
Author: Kenneth Reitz
Format: Paperback
Language: English

The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversityâ and possibly dilution.

This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhikerâ s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

Author: Kenneth Reitz, Tanya Schlusser
Publisher: O'Reilly Media
Published: 10/18/2016
Pages: 336
Binding Type: Paperback
Weight: 1.20lbs
Size: 9.00h x 7.00w x 0.70d
ISBN: 9781491933176

About the Author

Kenneth Reitz is the product owner of Python at Heroku and a member of the Python Software Foundation. Kenneth focuses on software development, photography, and music production. He is well known for his many open source projects, specifically Requests: HTTP for Humans

Tanya Schlusser is currently an independent consultant who uses data to drive strategic decisions, with over two decades of experience in a half dozen languages. She is an active member of the Chicago Python User's Group, Chicago's PyLadies, and has delivered over 1000 hours of data science training to students and industry analysts.


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