Enhanced DataFrame interactivityĭataSpell 2022.3 significantly enhances how you can interact with DataFrames within Jupyter notebooks. Diffs between checkpoints can be compared using fully rendered Jupyter notebooks.
Checkpoints are automatically created, and earlier states can be reverted to with the click of a button. The new Local History feature allows you to keep track of important changes to your code without needing to explicitly commit them using the VCS. Ability to track and revert changes in Jupyter notebooks Multiple breakpoints can be set per cell, and the Step Into and Step Over functionality can be used to diagnose why any errors are being thrown. Remote debugging for Jupyter cellsĭebugging notebook cells is now possible when you’re working on a remote Jupyter server. You can also use DataSpell’s interpreter UI to install and uninstall packages. Files created in your local workspace are automatically synced with a directory in the remote machine, and can then be executed using that machine’s resources. In DataSpell 2022.3, you are now able to set up a remote Python interpreter via SSH, allowing you to develop in the cloud from the comfort of your IDE. You can download the new version from our website, update directly from the IDE or via the free Toolbox App, or use snaps for Ubuntu.ĭownload DataSpell 2022.3 Configure remote interpreters using SSH Let’s look at the new features in detail. Useful metadata about variables in Jupyter notebooks can also be displayed inline, allowing you to check the size of NumPy arrays or the contents of pandas DataFrames at a glance. Working with DataFrames in notebooks got a lot easier with new options for exporting, viewing, and sorting. Keeping track of important changes to your code is simple with Local History, which creates automatic checkpoints and allows you to revert back to earlier states with the click of a button. Harnessing cloud resources is straightforward with the ability to configure remote interpreters using SSH and debug notebooks running on Jupyter servers. With DataSpell 2022.3, DataSpell celebrates its first birthday! This release introduces some highly requested features that make working on your data science projects a breeze, whether you’re developing locally or on a remote machine.
0 kommentar(er)
