This model is more in line with other JetBrains IDEs like P圜harm. However, many users requested the ability to manage multiple projects, each of which has its own separate virtual environment or interpreter rather than inheriting it from the workspace. DataSpell’s workspace is, in essence, the default project. By default, all directories and projects in the workspace share the same virtual environment or Python interpreter as the workspace. Existing projects are attached to the workspace as directories. In DataSpell 2022.3, the IDE has a single workspace, to which you can attach notebooks and other files, directories, and projects. You can also manually download the EAP builds from our website.ĭownload DataSpell 2023.1 EAP Support Multiple Projects With Separate Environments The Toolbox App is the easiest way to get EAP builds and keep your stable and EAP versions up to date. 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. 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. 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!
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