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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-performance-optimization/
课程评论：没有评论
Coursera 上的“Python 性能优化”课程旨在帮助您提升 Python 代码的执行速度。Python 虽功能强大且语法清晰，却常被诟病运行缓慢。本课程将深入探讨多种优化技巧，以显著减少 Python 代码的执行时间。 课程重点关注代码的**执行速度**，即程序产生输出所需的时间。讲师强调，更快的代码执行速度意味着更高的效率，尤其是在当今快节奏的环境下。 本课程适合已经掌握 Python 基础知识的学习者。无论您是从其他编程语言转到 Python，还是作为 Python 开发者希望精进技能，本课程都能为您提供不为人知的提速秘诀。即使是具有其他编程经验的初学者，也有可能跟上课程进度并掌握核心概念。 总而言之，如果您想让您的 Python 代码运行得更快，并进一步提升您的 Python 编程能力，那么这门中级课程将是您的理想选择。
Python is an interpreted, object-oriented programming language. it incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. python combines remarkable power with very clear syntax.Despite it's popularity, it's often accused of being slow. In this course you will learn how to optimize the performance of your Python code. You will learn various tricks to reduce execution time. A lot of people have different definitions of performance. When I say "performance", I'm talking about:How quickly does the code execute? Meaning how long until the output is returned? Of course, there are other metrics for measuring the performance of a system, but this code has a focus on speed.The faster your code executes, the better it is. Who has time to wait for computer execution? Especially when it's not necessary. If you come from another programming language, you may not know about some ways to speed up your Python code. If you are a Python coder, you may not know about these tricks either.If you already know Python and want to optimize your code or increase your Python skills, this course is for you. This is an intermediate course, you should already know how to write Python code. But if you are a beginner with prior programming experience, you might be able to follow along with all the concepts explained in this course.
