- What is GitHub Codespaces?
- What is Project Jupyter?
- Why use GitHub Codespaces with Jupyter?
- How to use GitHub Codespaces with Jupyter?
Check out Day 1 of #14DaysOfDataScience for a post on this topic. Then revisit this page regularly for updates on exercises.
Use this list of notebooks as a suggested set of exercises for this stage. Note that the first three notebooks are standard examples from the codespaces-jupyter template and associate with specific requirements.txt versions that we may update for our own projects in future. If so, the sample notebooks may break and need to be updated, or replaced, with examples that reflect latest versions.
Use the "exercise" notebook as a sandbox where you can copy code from various quickstarts, run it, and write down your insights in an associated markdown (docs) cell. Make sure you attribute data and honor license or usage requirements. Create a recipe book you can revisit later, to recall solutions.
| Notebook | Description |
|---|---|
| 01-matplotlib.ipynb | Learn basic matplotlib (2D visualization) |
| 02-population.ipynb | Learn basic pandas (load data from file) |
| 03-image-classifier.ipynb | Try basic machine learning (tensorflow) |
| 04-exercise.ipynb | Use notebook as sandbox to explore ideas |