Early Access Program

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.

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.

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 outputs by making it possible to use the Output widget.  Please give the new functionality a try and share your feedback! The Toolbox App is the easiest way to get the EAP builds and keep your stable and EAP versions up to date. You can also manually download the EAP builds from our we

This new build is equipped with a bunch of improvements to the Jupyter cells UX. It also provides a new capability to set up and use WSL-based interpreters for your projects from inside DataSpell. Here is an overview of what you can expect from the second EAP for DataSpell 2022.2. You can download the EAP build from our website, get it from the free Toolbox App, or use snaps if you are using Ubuntu. Cell selection while invoking the context menu We changed the behavior of cell selection in command mode while invoking the context menu to make it more obvious. Now if the context

We’re opening the Early Access Program (EAP) for DataSpell 2022.2. In this first build, we’ve improved the appearance of outputs in the console, introduced the ability to resize image outputs in a mouse click, and bundled the Diagrams plugin.

DataSpell 2022.1 EAP 2 is now available, and you can try the newly added features right away. Get the latest version using the ToolBox App by clicking Update – this will update your existing installation. You can also download the new EAP as a standalone version using this button: DOWNLOAD DATASPELL 2022.1 EAP 2 New features overview Bundled Grazie plugin The DataSpell 2022.1 EAP 2 build includes Grazie, a plugin that provides spelling and grammar checks for the text that you write in the IDE. Grazie can provide support for 15 languages (go to Settings | Editor | Natural Languages

DataSpell 2022.1 EAP 1 is open, and we invite you to be among the first to try the freshly added features! Getting the newest version is easy – just click Check for Updates if you’re using the Toolbox App. Alternatively, you can download the new build using this button: DOWNLOAD DATASPELL 2022.1 EAP 1 We are working to include remote Jupyter notebook support in DataSpell. In this EAP, we have support for JupyterHub 2.0 and the ability to copy files between the remote Jupyter server and the local machine. We have also added some fixes that streamline product behavior, such as optimized Ed

A fresh DataSpell EAP update is out, and it is packed with some exciting new features! If you’re using the Toolbox App, click Check for Updates. Alternatively, you can download the new build from the DataSpell website. New configuration directory Importantly, the directory, where the IDE stores its settings has changed. If you used an earlier DataSpell EAP build and would like to keep those settings during the update, it’s important to point the new EAP build to the directory with the old settings. The path to the settings directory can be found here. Earlier EAP builds stored settin

We are thrilled to announce that we're opening the EAP to the public. You can download EAP builds from JetBrains DataSpell’s website without registration. Read to learn more.

With the emergence of Python as the go-to language for data science, it was only natural for JetBrains’ PyCharm to be eventually equipped with data science features. Based on the feedback that our team received over the past year, we have been working to significantly improve PyCharm’s support for data science. During this process, it became evident that data scientists and software developers have different workflows and expectations of their tools. As a result of that process, we decided that the best course of action would be to use PyCharm’s IDE engine as the foundation for a brand new ID