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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-performance-hacks-part-1-make-your-code-run-faster/
课程评论：没有评论
课程名称：Python 性能优化技巧 - 第一部分：让你的代码更快运行 课程概述：在这门课程中，我们将探讨如何通过实用的技巧使 Python 代码运行速度达到 C/C++/Rust 代码的水平。课程旨在帮助 Python 开发者在不牺牲代码可读性和可维护性的情况下，最大限度地提高性能。无论你是在开发网页应用、数据分析脚本还是后端程序，都能学到优化代码以实现高性能的技能，同时保持 Python 编程语言的优越特性。 课程内容将涵盖提高 Python 性能的基本策略，包括使用 JIT 和 AOT 优化的工具与替代语言运行时等。你将学习如何合理地使用这些工具，并了解它们在 Python 代码中的最佳实践和应用场景。此外，课程还将介绍如何利用线程并行化技术来绕过全局解释器锁（GIL）的限制。 完成本课程后，你将掌握一套提升性能的技巧，使你的 Python 技能更上一层楼。从此告别低效程序，迎接高效、强大且优化后速度更快的代码！加入课程，提升你的 Python 编程水平，让代码运行得更快。
There's a famous quote that says "If you want to code faster, use Python; but if you want your code to run faster - just use C"!In this course - Python Performance Hacks - Part 1: Make Your Code Run Faster, I will teach how to make your python code run as fast as those written in C/C++/Rust. You will learn practical, hands-on techniques to enhance the speed and efficiency of your Python applications. This course is designed for Python developers who want to maximize performance without sacrificing code readability or maintainability. Whether you're developing web applications, data analysis scripts, or backend processes, you'll find the skills to optimize your code for high performance without sacrificing the great features, benefits and the essence of Python programming language.In this course, we'll dive into the essential strategies for improving Python performance, covering tools and alternative language runtimes that perform Just-In-Time compilation, Ahead-Of-Time optimization and much more. You will learn how to make your python code run fast comparable to code written in C/C++/Rust. You will also learn about the best practices and use-case scenarios for these tools in your python code. You will also learn tricks to parallelize threads (circumventing the limitations of Global-Interpreter-Lock or GIL).By the end of this course, you'll have a toolkit of performance-enhancing techniques to take your Python skills to the next level. Say goodbye to slow-running programs and hello to code that's lean, powerful, and optimized for speed. Enroll to this course to transform your Python skills and make your code run faster than ever!
