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
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
How to Use Git With Jupyter Notebooks in DataSpell
Get up and running with version control using Git when working with Jupyter notebooks.