You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

In this video from the Blue Waters Symposium, Roland Haas from NCSA presents: Tutorial: How to use Jupyter Notebooks. "Jupyter notebooks provide a web-based interface to Python, R, Julia and other ...

There's nothing quite like running Python code on your self-hosted Jupyter Notebook server ...

Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset For this example, we will be using the Jupyter Notebook to train a machine learning algorithm with the classic Iris ...

Jupyter Notebook is very similar to R Markdown in that you can use a statistical programming language to take care of web related coding that usually takes the form of html, CSS, etc. Shown above is ...

Jupyter Notebook is not a full-blown development environment for Python. Many of the features you would expect to find in an IDE—e.g., interactive debugging, code completion, and module ...

Since Microsoft went all in on Python for its open source, cross-platform Visual Studio Code editor years ago, the company has steadily been adding new features, tools and functionality, including a ...

Microsoft's two new video series target beginner developers interested in using Python for machine-learning programs.

Google Colab (short for colaboratory) is a cloud-based Jupyter Notebook environment that enables users to write and execute Python code directly in their browser.

The October 2021 update to Python in Visual Studio Code continues to boost notebook functionality, now adding the ability to debug Jupyter Notebooks.