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所在平台: Udemy |
课程主页: https://www.udemy.com/course/google-colab-crash-course/
课程评论：没有评论
课程名称：30分钟Google Colab快速入门课程 课程概述：欢迎参加Studyopedia的Google Colab课程！Google Colab是一个完全基于云的笔记本环境，您可以避免在本地系统上安装Python，直接通过网页浏览器运行您的Python程序。在本课程中，您将学习Google Colab的所有内容，以及它如何简化程序员的工作。我们讨论了如何开始使用Colab、运行第一段程序、设置库以及运行pandas、NumPy和Matplotlib程序等。课程中还提供了这些库的示例程序。Colab支持所有的数据科学和机器学习库。 此外，我们还讲解了Colab的基本布局，包括如何增大字体、显示行号和启用黑暗模式，同时也讨论了如何设置免费的运行时类型，例如GPU和TPU。课程还概述了Google Colab的付费版本Colab Pro和Pro+，并进行了比较。 使用Colab，您可以轻松地通过GitHub和Google Drive与朋友和同事分享代码，分享就是关爱！Colab会自动将您的代码保存在Google Drive上，让您轻松备份，避免在本地保存代码的麻烦。让我们开始这段旅程吧！
Welcome to the Google Colab Course by Studyopedia!!!Google Colab is a Notebook Environment that runs entirely on the cloud. Avoid the hassles of installing Python on your system and directly run your Python programs on a Web Browser.In this course, learn all about Google Colab and how it eases the work of a programmer. We have discussed how to begin with Colab, run your first program, set up libraries, run pandas, Numpy, and Matplotlib programs, etc. Sample programs with all these libraries are also discussed. Colab supports all Data Science and Machine Learning libraries.We have also discussed the basic layout of Colab, how to increase the font, display line numbers, and enable dark mode. With that, how to set free Runtime Type i.e. GPU and TPU is also discussed. Also, an overview discussed the paid versions of Google Colab i.e. Colab Pro and Pro+, with all the comparisons.With Colab, easily share the code with your friends and colleagues using GitHub and Google Drive. Sharing is caring! However, Colab automatically saves your code on Google Drive, making it easier to keep a backup. Therefore, avoid hassles in saving your codes on the system.Let's start the journey!
