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所在平台: Udemy |
课程主页: https://www.udemy.com/course/pycharm-for-power-developer/
课程评论：没有评论
**课程名称：PyCharm for Power-Developer** **课程概述：** 本课程旨在教授学员如何利用强大的PyCharm IDE，成为一名高效的Python开发者。Python作为一种快速发展且功能强大的语言，广泛应用于数据分析、软件开发和Web应用设计。PyCharm作为一款集成了Visual Studio和Eclipse等成熟开发工具特性的IDE，为Python开发提供了一站式解决方案。 **学习内容：** * **提升代码质量：** 掌握Lens Mode和Intentions功能，优化代码质量。 * **代码重构与调试：** 学习如何进行代码重构和使用PyCharm的调试工具。 * **单元测试：** 利用PyCharm内置的测试运行器进行单元测试。 * **数据库操作：** 学习如何与SQL数据库进行交互。 * **Web开发集成：** 学习如何将Python与包含HTML和JavaScript的Web项目集成。 * **Flask微框架项目：** 构建一个使用Flask微框架的项目。 **课程目标：** 通过本课程的学习，学员将能够熟练掌握PyCharm这款优秀的Python开发工具，并能够胜任Python开发领域的各项工作，成为一名真正的“Power-Developer”。 **讲师介绍：** Melissa Dale，iPRoBe Lab的研究助理，专注于计算机视觉和机器学习领域的Python应用。她过往的研究涉及软件工程，特别是设计模式及其演变，并有使用Python、Java和Statistical R等多种语言的研究经验。
Python is a beautiful and fast-growing language used to develop programs to efficiently analyze data, create eloquent software solutions for real-world problems, and design original web apps. PyCharm brings the robust and mature tools that you would expect from Visual Studio or Eclipse to Python development and provides you with a one-stop shop for all of your development tool needs.In this course, you'll learn how to improve your code quality with Lens Mode and Intentions, refactor and debug code, and perform unit testing with the PyCharm test runner. Along the way, we'll work with SQL databases. Further on, you'll learn to integrate Python with web projects that include HTML and JavaScript and build a project with the Flask microframework.By the end of the course, you'll be well-versed with a terrific tool for Python development-PyCharm-and be able to do everything expected of a Python developer.About the AuthorMelissa Dale is a Research Assistant at iPRoBe Lab. She is currently working with Python in Computer Vision and Machine Learning. Her previous research has focused on Software Engineering with a focus on design patterns and how they evolve over time. For her research, she has had the opportunity to explore using multiple languages including Python, Java, and Statistical R.
