Learn new and better ways to improve your Faster Python Code - Miki Tebeka. Learn about necessary basic tools, including time measurement in Python and detailed profiling using line_profiler. Learn different techniques on how to choose good data structures, how to use approximation algorithms, and how to utilize NumPy for efficient numerical computation. Discover how you can easily incorporate the aspect of performance into your development process. Also, application development is done practically with the help of GitHub Codespaces, which is a cloud-based IDE, and it ensures that they can access all their systems anytime from any machine.
Faster Python Code - Miki Tebeka Table of Contents:
- Introduction
- Tools of the Trade
- Picking the Right Data Structure
- Tricks of the Trade
- Caching
- Cheating
- Parallel Computing
- Beyond Python
- Adding Optimization to Your Process
- Conclusion
Who is this course for?
- Individuals and organizations that use Python as the primary programming language want to optimize their code performance.
- Persons who want to dig deeper into how to write concise code through high-level programming concepts.
- Software developers, especially those in the Python field, wish to optimize their development.
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