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

Reitz, Kenneth; Schlusser, Tanya

ISBN 10: 1491933178 / ISBN 13: 9781491933176

Verlag: O'Reilly Media, 2016

Beschreibung

The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.

Bestandsnummer des Verkäufers BSM.NKGN

Bibliografische Details

• Titel: The Hitchhiker's Guide to Python: Best Practices for Development
• Verlag: O'Reilly Media
• Veröffentlichungsdatum: 2016
• Sprache: Englisch
• ISBN-10: 1491933178
• ISBN-13: 9781491933176
• Bindung: Softcover
• Zustand: good

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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 HumansTanya 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."