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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-engineers-and-scientists-basic-to-advanced/
课程评论：没有评论
《Python for Engineers and Scientists》课程概述 这是一门为期约15小时的Python编程课程，旨在为工程师和科学家提供强大的编程、数学和图形化工具。课程的优势在于其所教授的Python及其科学计算生态系统是免费且开源的，易于在工作和学术环境中使用。课程内容全面，性价比较高，并提供Q&A论坛和所有代码素材。 课程主要内容包括： * **Python基础**：从安装到面向对象编程，以及任务自动化等实用技巧。 * **Sympy**：学习符号代数运算、方程组求解、微分方程和微积分，是Matlab的有力替代。 * **Numpy**：深入理解强大的数组结构。 * **Pandas**：学习作为Excel替代品的强大功能，包括数据筛选、数据透视表、图表创建和真实数据处理。 * **Matplotlib**：掌握用于创建图表和仪表板的Matplotlib对象。 * **Scipy**：探索Python中计算数学的核心库，涵盖线性代数、积分和常微分方程的数值解，并提供练习。 课程邀请学习者观看介绍视频，了解详细的学习结构。
The goal of "Python for Engineers and Scientists" is to provide programming, mathematical, and graphical tools for professionals across various fields.Why should you take this course?Both Python and the scientific ecosystem libraries taught here are FREE and open-source tools. This makes it easier to adopt these tools in both workplace and academic settings.Moreover, the language and its libraries have been growing worldwide with a super active community. I've observed this since 2015 when I did R & D internships at a nuclear energy company.Don't fall behind, my friend!What do you gain by enrolling in this course?This is the most comprehensive course with the best cost/benefit ratio on Python and its scientific ecosystem. In addition to around 15 hours of content, students have access to the Q & A forum, where we already have constructive interactions with all students and many questions and answers already addressed. You'll also have access to all the materials/codes created during the class, all structured and organized!What will I learn?In general, the course content includes:- Python Fundamentals: You'll learn everything from installation to more advanced topics like object-oriented programming. Also, you'll cover useful day-to-day topics like task automation.- Sympy: You'll master symbolic algebra manipulation, solving systems of equations, differential equations, and calculus functions. Additionally, there are plenty of exercises and challenges (proposed and solved). Sympy is a great substitute for Matlab.- Numpy: You'll dive deep into the powerful array structure of Numpy.- Pandas: You'll learn the best Excel replacement we have today. We'll work on filters, pivot tables, graphs, and real data handling with Pandas.- Matplotlib: You'll gain an in-depth understanding of Matplotlib's objects for creating charts and dashboards.- Scipy: You'll explore the "big boy" of computational mathematics in Python. We'll cover linear algebra, integrals, and numerical solutions to ODEs, with exercises (proposed and solved).I invite all of you to watch the introductory lesson where I showcase the learning structure of the course.
