Project Jupyter is a non-profit, open-source project, born out of theIPython Projectin 2014 as it evolved to support interactive data science and scientific computing across all programming languages. Jupyter will always be 100% open-source software, free for all to use and released under the liberal terms of themodified BSD license.
Jupyter is developed in the open on GitHub, through the consensus of the Jupyter community. For more information on our governance approach, please see ourGovernance Document.
Jupyter Notebook documents (or “notebooks”, all lower case) are documents produced by the Jupyter Notebook App, which contain both computer code (e.g. python) and rich text elements (paragraph, equations, figures, links, etc…). Notebook documents are both human-readable documents containing the analysis description and the results (figures, tables, etc..) as well as executable documents which can be run to perform data analysis.
Visual Studio Code offers many great features for Data Scientists and Python developers alike, allowing you to explore and experiment on your data using the flexibility of Jupyter Notebooks combined with the power and productivity of VS Code. Tune in to learn how to supercharge your Jupyter Notebooks with VS Code.
Working with Jupyter Notebooks in Visual Studio Code
Jupyter(formerly IPython Notebook) is an open-source project that lets you easily combine Markdown text and executable Python source code on one canvas called anotebook. Visual Studio Code supports working with Jupyter Notebooks natively, as well as throughPython code files. This topic covers the native support available for Jupyter Notebooks and demonstrates how to:
Create, open, and save Jupyter Notebooks
Work with Jupyter code cells
View, inspect, and filter variables using the Variable explorer and Data viewer
Connect to a remote Jupyter server
Debug a Jupyter notebook
Here is a quick overview of Visual Studio Code and the Jupyter Experience with VS Code
[00:56]– Creating a new notebook in Visual Studio Code [01:28]– Notebook Editor interface [03:53]– Bringing existing Notebooks to Visual Studio Code [06:22]– Converting your Jupyter Notebook into Python code [08:15]– Connecting to remote Jupyter Server