![]() ![]() Native integration of version control tools (e.g., GitHub) 4). Great auto-completion intelligence for high productivity 3). P圜harm gives me a more coherent user experience because I used to use AndroidStudio a lot 2). Support for local Jupyter notebooks is now also bundled with P圜harm Professional in DataSpell and offers more out of the box features for data scientists, focusing on data and interactivity.ĭataSpell provides a lightweight workspace model that allows to reuse configured environments, attach multiple folders with data, scripts, and notebooks, or connect it to multiple remote instances of Jupyter servers.Among the common Python IDEs, P圜harm is my favorite for several reasons, just to name a few: 1). For Python and R scripts, it allows running entire scripts or parts of them and browsing outputs interactively and conveniently. Apply>ĭataSpell also supports Jupyter’s command mode, most of its standard shortcuts, Markdown and LaTeX, and interactive outputs. The main advantage of DataSpell over Jupyter or JupyterLab is the availability of intelligent coding assistance and lots of other features offered by the full-fledged IDE. It is possible to work with them right inside the IDE exactly as using traditional web-based notebooks. It combines the interactivity of Jupyter notebooks with the intelligent Python and R coding assistance of P圜harm in one ergonomic environment.ĭataSpell supports both local and remote Jupyter notebooks. ![]() DataSpell by JetBrains is designed specifically for those involved in exploratory data analysis and prototyping ML models. ![]() JetBrains recently announced the official release of DataSpell, its new data science IDE. ![]()
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