Overview
- A unique book dedicated to Python descriptors
- Deals with an important topic for the many applications Python has
- Python is popular for web development, big data analytics, finance, game development and more
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Table of contents (12 chapters)
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Front Matter
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About Descriptors
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Front Matter
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Back Matter
Keywords
About this book
This truly is a comprehensive guide to creating Python descriptors. As a bonus: A pip install-able library, descriptor_tools, was written alongside this book and is an open source library on GitHub.
There aren't many good resources out there for writing Python descriptors, and extremely few books. This is a sad state of affairs, as it makes it difficult for Python developers to get a really good understanding of how descriptors work and the techniques to avoid the big gotchas associated with workingwith them.
What You Will Learn
- Discover descriptor protocols
- Master attribute access and how it applies to descriptors
- Make descriptors and discover why you should
- Store attributes
- Create read-only descriptors and _delete()
- Explore the descriptor classes
- Apply the other uses of descriptors and more
Who This Book Is For
Experienced Python coders, programmers and developers.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Python Descriptors
Authors: Jacob Zimmerman
DOI: https://doi.org/10.1007/978-1-4842-2505-9
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Jacob Zimmerman 2016
eBook ISBN: 978-1-4842-2505-9Published: 07 December 2016
Edition Number: 1
Number of Pages: XV, 64
Number of Illustrations: 1 b/w illustrations, 4 illustrations in colour
Topics: Python, Programming Languages, Compilers, Interpreters, Programming Techniques