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.

Jupyter is an open-source platform that supports interactive computing and provides an environment for creating and sharing documents that contain live code, equations, visualizations, and narrative ...

The best learning experience happens when you can edit and run code. So, please have Python Anaconda Distribution 3.7, seaborn, matplotlib, numpy, and jupyter ...

For this year's course edition, we created a series of Jupyter notebooks that are designed to help you understanding the "theory" from the lectures by seeing corresponding implementations. We will ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...