JetBrains DataSpell should be compatible with Jupyter notebooks run on local machines, remote Jupyter, JupyterHub, and JupyterLab servers. It is more like an augmentation, according to Cheptsov. JetBrains’ new IDE is not a replacement for Jupyter notebooks. Cheptsov said it also allows data scientists to toggle between Command Mode and Editor Mode for easy cell and cell content manipulation. JetBrains DataSpell is included in this goal to make it easier to manage data and not let it get in the way of writing code. Speaking to VentureBeat, project manager Andrey Cheptsov said that the goal is to boost data scientists’ productivity since AI projects are seeing a significant uptick in enterprise IT organizations. JetBrains DataSpell is available under an early access program and promises to deliver a better experience than the traditional Jupyter notebooks many data scientists use to write and manage code. They include one for data scientists who use Python code to create AI models. JetBrains announced extensions to its family of integrated development environments for programming languages this week.
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