JetBrains Announces Data Science IDE |
Written by Kay Ewbank | |||
Tuesday, 07 September 2021 | |||
Today JetBrains is announcing an early access program for a new IDE for data scientists. DataSpell is described as offering "a productive developer environment for data science professionals who are actively involved in exploratory data analysis and prototyping machine learning models." The new IDE comes with an interface that concentrates on data analysis, along with support for coding. It offers native support for Jupyter notebooks and JetBrains says provides an enhanced experience over traditional Jupyter notebooks. The new IDE has a command mode and an editor mode to make it easier to manipulate cells and their content. It also has intelligent coding assistance for Python, out-of-the-box table of contents, folding tracebacks, and interactive tables. Cell outputs support both Markdown and JavaScript, so users can work with visualisation libraries such as Plotly, Bokeh, IPyWidgets, and so on. DataSpell can be used to work with local Jupyter notebooks as well as remote Jupyter, JupyterHub, and JupyterLab servers. DataSpell currently supports Python scripts, and the development team says that even though Python is the primary short-term focus for JetBrains DataSpell, the IDE includes basic support for R. They say that eventually, other data science languages may be added as well. The IDE comes with built-in support for the Conda open source package management system and environment management system to enable the creation, management, and reuse of environments and dependencies across workspaces. DataSpell also has SQL database support so users can explore tables, perform refactorings, and import/export data. In answer to the question of why JetBrains is introducing a new IDE in addition to PyCharm Professional Edition, the developers said that they expect DataSpell to be a more practical and efficient environment for working with data, and that going forward features that relate to working with data will be prioritized. They recommend that users involved in both data science and development, would ideally use PyCharm Professional Edition, whereas those involved more in data science than development, would be better choosing JetBrains DataSpell. The preview of DataSpell is available now. More InformationRelated ArticlesPyCharm Edu Adds Adaptive Courses Jupyter Project Celebrates 20 Year Anniversary Elyra JupyterLab AI Extension Improves Usability .NET Jupyter Notebooks Announced Jupyter Notebook 5 Adds Cell Tagging Get Super-Productive With JetBrains Space
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Last Updated ( Tuesday, 07 September 2021 ) |