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JetBrains DataSpell 2023

JetBrains DataSpell 2023

2023.1.3 by JetBrains
(0 Reviews) December 23, 2023

Latest Version

Version
2023.1.3
Update
December 23, 2023
Developer
JetBrains
Categories
Programing
Platforms
Windows
File Size
607 MB
Downloads
135
License
free (activated)
Download Now (607 MB)

More about this program

Get the full version standalone offline installer of JetBrains dataSpell for Windows, available as a free download. Designed as an Integrated Development Environment (IDE) specifically for Professional Data Scientists, dataSpell empowers you to excel in your data-driven projects.

JetBrains dataSpell Overview:

JetBrains dataSpell is a dedicated Integrated Development Environment (IDE) designed specifically for exploratory data analysis and prototyping ML (machine learning) models. With the ability to seamlessly switch between command and editor modes, navigate through cells effortlessly, and leverage standard Jupyter shortcuts, dataSpell provides a highly interactive and efficient environment for data scientists. Experience intelligent code completion, on-the-fly error checking, quick fixes, and easy navigation while editing code cells. Connect effortlessly to local or remote Jupyter, JupyterHub, or JupyterLab servers directly from the IDE. dataSpell also supports Markdown editing and rendering, allowing you to browse DataFrames and visualizations within the IDE using interactive controls. It fully supports popular Python scientific libraries such as Plotly, Bokeh, Altair, IPS widgets, and more.


Key Features of JetBrains dataSpell:

1. High interactivity optimization

2. Smart coding assistance

3. Local and remote notebook support

4. Scientific Python console

5. Cells in Python scripts

6. Data and visualization outputs


Technical Details and System Requirements:

- Supported OS: Windows 11, Windows 10, Windows 8.1

- RAM (Memory): 4 GB RAM (8 GB recommended)

- Free Hard Disk Space: 1 GB or more


Unlock the potential of data analysis and ML prototyping with JetBrains dataSpell, providing a seamless and powerful environment for data scientists.

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