![]() ![]() ![]() ![]() dataSpell also supports Python scientific libraries including Plotly, Bokeh, ipywidgets, and Altair. In addition, DataSpell supports Python scripting, provides a REPL for running code, and additional tools for working with data and data visualization, both interactive and static. DataSpell is compatible with Jupyter Notebook running on the local device as well as remote Jupyter, JupyterHub, and JupyterLab servers. Intelligent coding assistance for PythonĬell output supports Markdown and JavaScript.Users can switch between command and edit modes to manipulate cells and their contents, with enhancements that include According to JetBrains, DataSpell provides support for Jupyter Notebook and offers a better experience than traditional Jupyter Notebook. It features an interface designed to prioritize data, while allowing for coding. this IDE will provide a development environment for data science professionals engaged in exploratory data analysis and prototyping of machine learning models. JetBrains, the developer of the IntelliJ Idea IDE and the Kotlin programming language, recently launched DataSpell, an IDE specifically for data science.ĭataSpell is currently in early preview and can be downloaded by developers at to download and is currently available for Windows, Linux, and Mac, and also has native support for Macs using the M1 chip. ![]()
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