DataSpell Has Been Officially Released: A Brand New IDE for Data Scientists Using Python and R
DataSpell is a new IDE by JetBrains designed specifically for those involved in exploratory data analysis and prototyping ML models. DataSpell combines the interactivity of Jupyter notebooks with the intelligent Python and R coding assistance of PyCharm in one ergonomic environment.
DataSpell 2021.3 Release Candidate Is Out!
DataSpell has been in EAP since March 2021, and today is a big day for us – we’re delivering our first release candidate! If you’re using the Toolbox App, it will prompt you to install the update automatically. Otherwise, you can use the following links to install the update manually: macOS (dmg)macOS M1 (dmg)Windows (exe)Linux (tar.gz) You can learn about what’s new in the update below. Jupyter Toolbar First, the Run action in the Jupyter notebook toolbar has been replaced with Run and Select Next, as is in the web-based version of Jupyter. With this action, you can both run th
DataSpell EAP 20 Brings LaTeX Support, Jupyter Console, and More
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
DataSpell EAP 19: Jupyter Variables, Workspace Interpreters, Diff for Notebooks, PyCharm, and More
30 days after the first public EAP announcement, we’re excited to let you know about the second EAP build which includes several major improvements.
JetBrains DataSpell EAP Now Open to All
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.
Live Stream: From Jupyter Notebooks to JetBrains DataSpell
Join us Tuesday, August 17, 6 pm – 7 pm (CEST) / 12 am – 1 pm (EDT), for our live webinar “From Jupyter Notebooks to JetBrains DataSpell”. In this webinar, Andrey Cheptsov, Product Manager for PyCharm and DataSpell, will preview JetBrains DataSpell – a brand new IDE for data scientists. Over the last few years, PyCharm users have often requested better support for Jupyter notebooks. So a year ago, part of the PyCharm team sat together and decided to rebuild what PyCharm offers to data scientists from scratch. They decided not to just improve the support for Jupyter notebooks, but also t
Announcing the EAP for JetBrains DataSpell, Our New Data Science IDE
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
Big Data Tools EAP 9: Hadoop, Azure, S3 Compatible Storages, ORC, Avro, and More
We’re thrilled to announce a new update, which is perhaps one of the biggest since the plugin was first released last year.
Big Data Tools EAP Is Now Also Available for DataGrip and PyCharm
At the end of last year, we announced a preview of the IntelliJ IDEA Ultimate plugin that integrated Apache Zeppelin notebooks into the IDE. At the same time we shared our roadmap, in which we promised to support more tools for working with Big Data. Since then, the plugin team has been working hard and has extended the plugin with support for Apache Spark, Apache Hadoop's HDFS, AWS S3, Google Cloud Storage, and Parquet files. Because the plugin originally started with the Scala support in Zeppelin notebooks, it was reasonable for it to only be available for IntelliJ IDEA Ultimate. Now that t
Big Data Tools EAP: Bugfixes and Improvements
Great news for those who use our Big Data Tools plugin! We've just released a new update. In this new version we add a number of important bugfixes and improvements. We've added the support for the SOCKS proxy. Now you can configure it for your Zeppelin and Spark Monitoring connections: (more…)
Big Data Tools EAP 6: Google Cloud Storage, Proxy, Kerberos, and Parquet Improvements
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
Update on Big Data Tools Plugin: Spark, HDFS, Parquet and More
It’s been a while since our last update. If you remember, last year, we announced IntelliJ IDEA’s integration with Apache Zeppelin, S3, and its experimental integration with Apache Spark. The latter integration was released as an experimental feature and was only available in the unstable update channel. But we have great news. Today we’re releasing a new version of the plugin that finally makes Spark support publicly available. It also adds support for HDFS and Parquet. Spark Monitoring Now that the Spark integration is available in the public update, let us quickly catch you up on what it