- Expert Python Programming Second Edition
- Table of Contents
- Expert Python Programming Second Edition
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Preface
- 1. Current Status of Python
- Where are we now and where we are going?
- Why and how does Python change?
- Getting up to date with changes – PEP documents
- Python 3 adoption at the time of writing this book
- The main differences between Python 3 and Python 2
- Not only CPython
- Modern approaches to Python development
- Application-level isolation of Python environments
- System-level environment isolation
- Popular productivity tools
- Useful resources
- Summary
- 2. Syntax Best Practices – below the Class Level
- 3. Syntax Best Practices – above the Class Level
- 4. Choosing Good Names
- 5. Writing a Package
- 6. Deploying Code
- 7. Python Extensions in Other Languages
- 8. Managing Code
- 9. Documenting Your Project
- 10. Test-Driven Development
- 11. Optimization – General Principles and Profiling Techniques
- 12. Optimization – Some Powerful Techniques
- 13. Concurrency
- 14. Useful Design Patterns
- Index
In this chapter, you have learned:
- How to define the complexity of the code and some approaches to reduce it
- How to improve performance using some architectural trade-offs
- What caching is and how to use it to improve application performance
The preceding methods concentrated our optimization efforts inside a single process. We tried to reduce the code complexity, choose better datatypes, or reuse old function results. If that did not help, we tried to make some trade-offs using approximations, doing less, or leaving work for later.
In the next chapter, we will discuss a few techniques for concurrency and parallel processing in Python.
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