Early Access Program

A fresh DataSpell EAP update is out, and it is packed with some exciting new features! If you’re using the Toolbox App, click Check for Updates. Alternatively, you can download the new build from the DataSpell website. New configuration directory Importantly, the directory, where the IDE stores its settings has changed. If you used an earlier DataSpell EAP build and would like to keep those settings during the update, it’s important to point the new EAP build to the directory with the old settings. The path to the settings directory can be found here. Earlier EAP builds stored settin

We are thrilled to announce that we're opening the EAP to the public. You can download EAP builds from JetBrains DataSpell’s website without registration. Read to learn more.

Hi everyone, it’s the Code With Me team here! It’s already been two months since we announced the public release of Code With Me, a service for remote pair programming and collaborative coding. Time flies! First of all, we want to thank everyone who tried Code With Me, shared their opinion, reported bugs, and sent in their suggestions about our collaborative coding tool. It’s only because of feedback like this that Code With Me can evolve and become more valuable for software development teams. In particular, we want to thank the Rider community for their patience and persistence. We hear y

With the emergence of Python as the go-to language for data science, it was only natural for JetBrains’ PyCharm to be eventually equipped with data science features. Based on the feedback that our team received over the past year, we have been working to significantly improve PyCharm’s support for data science. During this process, it became evident that data scientists and software developers have different workflows and expectations of their tools. As a result of that process, we decided that the best course of action would be to use PyCharm’s IDE engine as the foundation for a brand new ID

Read this post to learn and try out Code With Me (EAP) – a tool for collaborative development created by JetBrains.

It’s been a while since our last update, but today we’re excited to give you a new EAP build. Originally we planned to exclusively work on bug fixes and stability improvements in this build. However, we couldn’t resist and added a completely new feature that has been on our roadmap for some time – integration with Google Cloud Storage. Using the Google Cloud Storage integration is similar to working with AWS S3. Once you’ve configured a Google Cloud Storage bucket configuration in Big Data Tools Connections, you’ll see it and its contents in the Big Data Tools tool window. Here’s what the co