Production Jupyter notebooks: A guide to managing dependencies, data, and secrets for reproducibility
Useful strategies for creating reproducible Jupyter notebooks.
Useful strategies for creating reproducible Jupyter notebooks.
Useful tips and tricks for visualizing data with Matplotlib, a popular Python library for creating high-quality plots and charts.
We explore the key features of popular Jupyter Notebook IDEs and highlight their use cases to help you choose the right IDE for your next notebook project
Jupyter Notebook: Common questions answered - Learn top tips for working efficiently with Jupyter Notebooks.
We show you 2 different ways to write comments & collaborate on Jupyter Notebooks on GitHub.
The definitive guide to GitHub’s Jupyter notebook rich diff feature.
GitHub recently launched notebook rich diffs but they don’t support interactive output widgets on notebooks. Here we take a look at the tools you can use to ...
GitHub introduced rich diffs for Jupyter Notebooks, but it does not render large notebooks. We show you how to render large rich diffs on GitHub.
GitHub recently launched notebook rich diffs but they don’t support commenting yet. We show you how to write comments on notebook rich diffs on GitHub.
The JupyterLab Git extension makes it easier to use Git with Jupyter notebooks.