Key Features:

Python
• DataSpell will help you work with both Jupyter notebooks and Python scripts, analyze your code for errors, suggest quick fixes and allow you to navigate through your code with ease

Markdown
• DataSpell supports editing and displaying Markdown markup – both in notebook cells and in individual files. LaTex support is also coming soon

Interactive results
• DataSpell fully supports both static and JavaScript results used in the Plotly, Bokeh, Altair, ipywidgets, etc. libraries. DataFrame objects can be worked with using interactive tables

Conda
• Built-in support for Conda will simplify the management of environments and dependencies, allowing you to create and reuse them

Debugger
• Debugging capabilities are supported for both Jupyter notebooks and Python scripts. These include breakpoints, code stepping, viewing and managing variable state

SQL
• Connect your database and get the ability to analyze tables, apply refactorings, import/export data, etc.

R
• The IDE includes basic R support: a debugger, a tool for viewing datasets and visualizations, a dependency manager, a smart code editor, etc.
Plugins. There are many plugins at your disposal – for emulating Vim, working with Docker, additional VCS, customizing appearance, etc.

What’s New
Version 2023.3:
• Release notes are available here

The folder contains two images for Intel and ARM
It is recommended to remove the old version before installation
0. Mount image
1. Rewrite the application icon in the “Programs” folder
2. Launch the application, click “Activate DataSpell->Activation Code” in the registration window, enter the registration code from the text file and click the “Activate” button to complete registration
It is recommended to block the following domains:

Code: select all 127.0.0.1.www.jetbrains.com 0.0.0.0 account.jetbrains.com 0.0.0.0 www.jetbrains.com

3. PROFIT!

FAQ and discussion of software for macOS