DataSpell 是 JetBrains 的新 IDE，专为参与探索性数据分析和 ML 模型原型设计的人员而设计。DataSpell 在一个符合人体工学的环境中将 Jupyter Notebook 的交互性与 PyCharm 的智能 Python 和 R 编码辅助相结合

JetBrains DataSpell is an IDE for data science with intelligent Jupyter notebooks, interactive Python scripts, and lots of other built-in tools.

Intelligent Jupyter notebooks

Tuned for high interactivity

Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell.

Smart coding assistance

When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more.

Local and remote notebooks

Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE.

Interactive Python scripts

Scientific Python console

Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time.

Cells in Python scripts

Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook.

Data and visualization outputs

Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.

Built-in tools and integrations

Version control

Clone Git projects, commit and push changes, work with several branches, manage changelists, and stage updates before committing them.

Terminal

Work with the command line shell through the built-in Terminal that supports all of the same commands as your operating system.

Database tools

Access and query a database right from the IDE. Rely on smart coding assistance when editing SQL code, running queries, browsing data, and altering schemas.

Features

Python

Regardless of whether you work in Jupyter notebooks or Python scripts, you will always be able to rely on intelligent code completion, on-the-fly error checking and quick-fixes, and easy code navigation.

Markdown

DataSpell supports editing and rendering Markdown in both notebook cells and in separate files. LaTeX support is not ready yet, but coming soon.

Interactive outputs

DataSpell fully supports both static and JavaScript-based outputs used by scientific libraries, such as Plotly, Bokeh, Altair, ipywidgets, and others. For DataFrames, DataSpell offers rich interactive table controls.

Conda

Built-in support for Conda makes it easy to create, manage, and reuse environments and dependencies.

Debugger

The Debugger is supported in both Jupyter notebooks and Python scripts. Stop at breakpoints, step through the code, and browse and manage the state of the variables.

SQL

Connect to your database to explore tables, perform refactorings, import/export data, and more.

Basic support for R includes a debugger, dataset and visualization explorer, package manager, intelligent coding assistance, and more.

Plugins

The Vim emulation, Docker, additional VCS, custom appearance themes, and much more is available through DataSpell激活2024.1.1 a universe of plugins.