From the course: Complete Guide to Analytics Engineering

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Our Python environment and dataset

Our Python environment and dataset

From the course: Complete Guide to Analytics Engineering

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Our Python environment and dataset

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- [Instructor] Let's jump into GitHub Codespaces. Like we covered in the introduction to this course, you can follow along in GitHub Codespaces as we work in Python and SQL. In the description of this video, you'll find a link to GitHub Codespaces. Open that link and navigate to the branch that corresponds to this video, 03_02_B, or the main branch. Once you're on that branch, we can select the dropdown that says Code near the top right. Then select the Codespaces. You can click the plus to create a new codespace on this branch. This might take a few minutes, so just hang tight. Once that codespace is opened, you'll notice the README.md file. This has some useful information and tips in case you run into common issues in your codespace. Before we jump into our provided files, let's install a couple of extensions that will make working in codespaces a bit easier. Left-hand ribbon, click the four squares called Extensions, and in the search bar, search for SQLite. Click Install, Trust…

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