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Jupyter notebooks

DataSpell 2023.1: Support for Multiple Projects, Notebook Productivity Boosters, and DataFrame Enhancements

DataSpell 2023.1 is out! Automatically convert a Jupyter Notebook into a Python script, drag and drop a CSV file to create a pandas DataFrame, and more

Ciara Byrne Ciara Byrne

DataSpell 2022.3: Support for Remote Interpreter Connections via SSH, Remote Jupyter Debugging, Local History for Tracking and Reverting Changes

DataSpell 2022.3 has been released! The most important new features include: - Remote development via SSH - Remote Jupyter debugging - Automatic tracking of important code changes - Enhanced DataFrame interactivity - In-line data about Jupyter variables

Valeria Letusheva Valeria Letusheva

How to Use Git With Jupyter Notebooks in DataSpell

Get up and running with version control using Git when working with Jupyter notebooks.

Jodie Burchell Jodie Burchell

Using Jupyter Notebooks With WSL 2 in DataSpell

Learn more about using Windows Subsystem for Linux with Jupyter Notebooks, including how to run Python code from Windows using Linux.

Jodie Burchell Jodie Burchell