DataSpell

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 Ub…

Create line plots that show trends over time.

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

If you’re doing any work with data in Python, it’s only a matter of time before you come across pandas. This popular package provides you with many options for reading in, processing, and writing data; however, it’s not the most intuitive package to use and beginners might find it a bit overwhelming…

Get a fix for interpreter widget woes, an uninterrupted onboarding tour, simplified settings sync and code completion for column names in Python scripts.

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

The second EAP build for DataSpell 2022.3 contains some exciting new features, including two highly requested additions: the ability to configure a remote interpreter using SSH and debugging for Jupyter notebooks running on remote machines. In addition, we’ve greatly expanded the options for working…

In the first EAP build for DataSpell 2022.3, you will find the ability to track and revert changes made to Jupyter notebooks, as well as a better in-editor experience for formatting multiline code blocks in Jupyter notebooks and searching within them. This first build also enriches support for web o…

DataSpell 2022.2.2 introduces enhancements for the Python interpreter selector, addresses a bug affecting the display of image outputs in the Python Console, and fixes the way metadata from externally created notebooks is handled.  You can download the new version from our website, update di…

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

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.