Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free. There are many ways to go ...

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

Notebooks have become an essential component of cloud-based AI research and analysis, so data scientists and developers should know how to use them if they deploy machine learning models on AWS.

Runnable Jupyter notebooks that accompany the primer Mathematical Foundations for AI, Machine Learning and Data Science (prepared by Rina Buoy, PhD). Every notebook runs in Google Colab with no setup ...

To perform statistical analysis and machine learning with Python, I decided to set up an environment to run JupyterLab, which is said to be the optimal tool, within VSCode. I struggled quite a bit ...