Published on: 2024-12-29 00:05:44
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Python Performance Hacks – Part 1: Make Your Code Run Faster is a Python code optimization and performance improvement course published by Udemy Online Academy. This is a focused course designed to help developers optimize Python code and improve performance. It covers a variety of techniques and best practices that can be applied to Python programs and help reduce execution time and memory usage. The course includes strategies for speeding up algorithms, optimizing data structures, and making effective use of Python’s built-in features. It also introduces profiling tools to identify performance bottlenecks and shows how to use them to optimize code.
You will learn practical, hands-on techniques to increase the speed and efficiency of your Python programs. This course is designed for Python developers who want to maximize performance without compromising readability or code maintainability. You will learn how to make your Python code run fast and compare it to code written in C/C++/Rust. You’ll also learn best practices and scenarios for using these tools in your Python code. You’ll also learn tricks for parallelizing threads (bypassing the Global-Interpreter-Lock, or GIL) restrictions. By the end of this course, you’ll have a toolbox of performance-enhancing techniques to take your Python skills to the next level.
Publisher: Udemy
Instructors: Chandrashekar Babu
Language: English
Level: Intermediate
Number of Lessons: 12
Duration: 5 hours and 30 minutes
Basic Knowledge of Python Programming
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Download Part 1 – 2 GB
Download Part 2 – 2 GB
Download Part 3 – 2 GB
Download Part 4 – 666 MB
6.6 GB
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