Python Descriptors 2nd Edition
Page Count97 Pages
About the e-Book
Python Descriptors 2nd Edition Pdf
Create descriptors and see ideas and examples of how to use descriptors effectively. In this short book, you’ll explore descriptors in general, with a deep explanation of what descriptors are, how they work, and how they’re used. Once you understand the simplicity of the descriptor protocol, the author delves into using and creating descriptors in practice, with plenty of tips, patterns, and real-world guidance. Because descriptors are inherently flexible, you’ll work with multiple examples illustrating how to best take advantage of them.
This second edition includes additions throughout, including new material covering the set_name_() descriptors, new and improved flowcharts to explain the inner workings of descriptors, and a completely new chapter to address instance-level attributes, the easiest way to create descriptors correctly the first time.
Although brief, Python Descriptors is a comprehensive guide to creating Python descriptors, including a pip install-able library called descriptor_tools, which was written alongside this book and is an open source library on GitHub. After reading this book, you will have a solid understanding of how descriptors work and the techniques to avoid the big gotchas associated with working with them.
What You Will Learn
- Discover descriptor protocols
- Master attribute access and how it applies to descriptors
- Build your own descriptors
- Use descriptors to store attributes
- Create read-only descriptors
- Explore the descriptor classes
- Apply the other uses of descriptors
Who This Book Is For
Experienced Python coders, programmers, and developers.
Download e-Book Pdf
This site comply with DMCA digital copyright. We do not store files not owned by us, or without the permission of the owner. We also do not have links that lead to sites DMCA copyright infringement.
If You feel that this book is belong to you and you want to unpublish it, Please Contact us .
Pro Angular 6
Mathematics of Optimization: How to Do Things Faster