Q: How is JetBrains DataSpell better than other tools for data scientists? Last but not least, we’ve compiled a list of answers to some of the questions we receive most frequently: The interactive Python console is a great tool for that, and we will continue to improve it. Exploratory data analysis is not limited to Jupyter notebooks and often can be done via Python scripts. Now when dataframes and charts are evaluated in the Python console, their interactive outputs appear right inside it. We’ve recently started devoting more attention to the interactive Python console. With coming updates, we plan to make even more improvements in this area. During the private EAP, the support for remote notebooks graduated from an experimental feature to one that is available out of the box. JetBrains DataSpell supports not only local notebooks that the user runs on their machine but also notebooks running on remote servers. Remote notebook support is another area that we’re actively working on. Chinese and Korean characters are now properly displayed in table outputs.For unresolved packages in code cells, we’ve added a quick-fix that adds the import statement to the current cell and automatically invokes it so the user doesn’t have to do so manually.For images, we’ve added dedicated actions to save images to a file.For table outputs, we’ve added dedicated actions to open data in separate editor tabs.We’ve significantly improved the scrolling of notebooks and notebook outputs.We’ve made it possible to collapse individual outputs via both shortcut and mouse.Some of the notebook support improvements: This experience consists of many things, including the ability to smoothly manipulate Jupyter notebook cells, access to all the traditional shortcuts, crisp output display, and quick-fixes. The primary focus for the DataSpell team over the last several months has been polishing the notebook experience. ![]() ![]() You’re welcome to download the latest EAP build right away. ![]() We’re also making it possible to download EAP builds from JetBrains DataSpell’s website without registration. This means we’re sending invites to everybody who has been waiting for one. Today, we are thrilled to announce that we’re opening the EAP to the public. So far, we’ve invited only a limited number of users to help us polish the rough edges of the new IDE before we invite everyone. It was announced in March and until now has been available under a private Early Access Program (EAP). JetBrains DataSpell is our new IDE built specifically for data scientists.
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