From the course: Python Data Analysis

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Set up: Using Codespaces

Set up: Using Codespaces - Python Tutorial

From the course: Python Data Analysis

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Set up: Using Codespaces

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- [Instructor] The exercise files for this course are collected in a GitHub repository organized by chapter. You can clone the Git repository or download the files to your computer using the code button. From that same button, you can also start an online codespace, a full development environment hosted in the cloud. That's what I recommend you do to follow along with this course. Here, I have one going already named Glorious Winner, but I'll create a new one. If you're not logged into GitHub yet, you will be prompted to log in or create a free GitHub account. And the first time you open a codespace, it will take a few minutes to set up. You now have control over a virtual Linux machine in the cloud, which connects to an instance of Microsoft Visual Studio Code in your browser. This is a powerful editor and programming environment. This virtual machine is pre-installed with the Python distributions with all the packages that we need. The editor is preloaded with extensions that will…

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