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. We always look forward to your feedback and bug reports in our issue tracker.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. You can find a full list of the resolved issues in the release notes. Several issues appearing when setting active Spring profiles have been fixed.The IDE no longer erroneously reports autowiring errors in for fields set via application.properties when using Lombok in Spring Boot projects.Building JPS projects utilizing JDK 8 with both JDK and project files stored on WSL no longer fails.Several issues that affected working in LightEdit mode have been fixed,.We fixed the issues that were causing the main menu groups to malfunction and not process actions correctly on macOS.The issue that caused the deletion of records from the list of local tasks has been fixed.The issue with launching multi-module projects using the Quarkus run configuration has been resolved.Navigation to implementations works as expected in decompiled classes.
We fixed the issue that was causing the IDE to crash when using the navigation feature in Raycast.
Here are the most notable fixes and updates that IntelliJ IDEA 2023.1.3 brings: You can also download it from our website. You can update to this version from inside the IDE, using the Toolbox App, or using snaps if you are a Ubuntu user. The third bug-fix update for v2023.1 is now available.
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