Update 12 of the Big Data Tools plugin for IntelliJ IDEA Ultimate, PyCharm Professional, and DataGrip has been released. You can install it from the JetBrains Plugin Repository or from inside your IDE. The plugin allows you to edit Zeppelin notebooks, upload files to cloud filesystems, and monitor Hadoop and Spark clusters. In this release, we've added experimental Python support and global search inside Zeppelin notebooks. We’ve also addressed a variety of bugs. Let's talk about the details. Experimental and preliminary Python support Although PySpark in Zeppelin is getting a lot of attent

With the holiday season coming, the R plugin introduces more code assistance and runtime capabilities, UX features, and stability improvements. Try them with the brand new 2020.3 releases of JetBrains IDEs. Use run/debug configurations to manage the way the IDE executes your R code. You can define the command-line arguments of the R script to be executed, the options of the R interpreter, or environmental variables. Configure once and run your script with the same predefined parameters. With the modified R interpreter selector, you can switch between various interpreters and quickly create

Over more than one and a half months, we introduced many improvements in the plugin to make your work with it more productive and comfortable. New UI capabilities for managing R interpreters You can easily switch between R interpreters, or create new ones with the R interpreter selector that is located in the IDE Status Bar. Also, we modified the remote interpreter configuration: in addition to the host and interpreter path, you can specify the working directory on the remote server. Better code assistance for R With this release, R plugin provides additional support for code insight feature

It has been a long time since our previous update. This release of the R plugin comes with enhancements and stability improvements as well as with the new features for remote work. Also, in this release, we discontinue supporting R 3.3. R plugin introduces the new type of the R interpreters, so that you can execute your R scripts remotely. Consider a task when you write your R code on one machine and need to execute it on another. Press Ctrl+Alt+S (Windows and Linux) or Cmd + , (on macOS) and go to the Settings/Preferences | Project | R Settings. Click and select Add remote. Select a remo