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 2023.1 EAP 2 is Out!
Many DataSpell users requested the ability to organize their work into multiple projects with completely separate environments and in DataSpell 2023.1 EAP 2 we have delivered! This second EAP build also contains new features to convert a Jupyter Notebook into a Python script and vice versa, to drag and drop a CSV to create a Pandas DataFrame, and to change the default number of rows displayed for a DataFrame. Finally, debugging and package management just got easier with an interactive debug console in the Jupyter Notebook Debugger and a fully functional Python Packages Tool Window.
DataSpell 2022.3.3 Is Out!
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 2023.1: Early Access Program is Open!
The first EAP build for DataSpell 2023.1 brings you Jupyter Notebook cell execution time and duration, improved code completion for Jupyter Notebooks, better Data Vision and an enhanced interpreter widget.
DataSpell 2022.3.2 Is Out!
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.