Focusing on Python I will show how to use Jupyter notebooks on Blue Waters to explore data, produce plots and analyze simulation output using numpy, matplotlib and time permitting, yt. I will show how ...

Jupyter Notebook combines live code, graphics, visualizations, and text in shareable notebooks that run in a web browser ...

You'll also need to use this line to see plots in the notebook: %matplotlib inline That line is only for jupyter notebooks, if you are using another editor, you'll use: plt.show() at the end of all ...

Jupyter creates interactive documents to mix code, text, and graphics. Jupyter is popular for sharing code and results in scientific computing. Jupyter notebooks consist of Markdown and code cells ...

IntelliSense support for matplotlib has been improved when using Pylance thanks to updates on matplotlib type stubs (python-type-stubs#223). To figure out how to use all that tooling, Microsoft ...

Jupyter notebooks break out of their "show and tell" role into something more suitable to data engineers. Can JupyterLab turn notebooks into an Enterprise tool?

TOOLBOX 30 October 2018 Why Jupyter is data scientists’ computational notebook of choice An improved architecture and enthusiastic user base are driving uptake of the open-source web tool.

Use this in-depth Jupyter Notebook vs. PyCharm comparison to learn more about their features and pricing and to find your best fit.

Deepnote, a startup that is building a data science platform on top of Jupyter-compatible notebooks, today announced that it has raised a $20 million Series A round co-led by Index Ventures and ...