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

"Today we're excited to announce that we now support all ipywidgets (including custom ones) in Jupyter Notebooks in VS Code," said Jeffrey Mew of the VS Code dev team in an April 21 blog post. "This ...

To plot charts, the notebook user can use the built-in XPlot which renders the graphics using the JavaScript charting libraries Google Charts and Plotly.

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 ...

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.

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?

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

Kite's code completions powered deep learning now work with JupyterLab and JupyterHub, helping data scientists as they type Python.

Jupyter Notebook is an open source web environment for data visualization. The modular software is used to model data in data science, computing, and machine learning.

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 ...