Release

DataSpell 2023.1.1 provides more precise measurement of cell execution time, fixes for disappearing DataFrame tables, and more. 

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 2022.3.3 gets GitHub Copilot back on board and includes fixes for remote Jupyter issues, overenthusiastic Notebook updates and the DataSpell onboarding tour.  Download the new version from our website, update directly from the IDE, via the free Toolbox App, or use snaps for Ubuntu. Download DataSpell 2022.3.3 Your Copilot Is Back On Board! In DataSpell 2022.3, GitHub Copilot worked in Python script files (.py), but not with Jupyter Notebooks. The issue was caused by changes in the Jupyter editor-to-file relationship made in DataSpell 2022.2. The DataSpell

DataSpell 2022.3.2 brings you fixes to ensure that Jupyter Notebooks are consistently reloaded from disk and that your typing doesn’t get stuck in reverse.

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

DataSpell 2022.2 is here and ready to give your data science work an efficiency boost. Merging diverged notebooks is now straightforward with the visual merge tool, as DataSpell 2022.2 allows you to review them as two notebooks open side by side, highlighting the changes in the cells. Support for WSL allows you to create WSL-based projects as well as interpreters and to work in the Python console and the terminal directly in DataSpell. Code insight for your Python and Jupyter files is provided too.