Smart execution of R code
R plugin is announcing some helpful features to track execution of your R code: 1. Execute your R file as a runnable process, job. Jobs are shown in a separate tab in the R console. You can preview the job status (succeeded or failed), the duration of the execution, and the time you launched the job. When starting a new job, you can specify the way you want to process the results of the job execution. You can restrict copying it, copy to the global environment, or copy it into a separate variable. To preview the results, switch to the Variables pane: 2. Try new ways to quickly
R 4.0.0 and better UX in the R Plugin
Although it has not been a while since our last update release, we’re ready to announce some important enhancements and new features: Long-awaited support of R 4.0.0 . Download it and try with the R plugin for PyCharm. In response to your feedback, we improved user interface and workflows for exporting generated plots into the portable network graphics (.png). Just pull the lower-right corner of the plot to adjust its size. There are more helpful options to keep up the image quality. You can also enable opening the exported image right after clicking the Save button. Want to have your
What’s New in R Plugin
We’re releasing a new update of the R Plugin for PyCharm and other IntelliJ-based IDEs. If you haven’t tried the plugin yet, download it from our website. The plugin is available for 2019.3 versions of IDEs and for EAP builds of 2020.1. The latest update comes with many stability improvements and long-awaited features: 1. You want your publications to look good, we now make it easy to get your graphs in exactly the size you need. When you execute any code chunk that plots the graph, just click in the Plots tab and you’ll be able to export it in the portable network graphics (.png).
Announcing the MicroPython Plugin for PyCharm
Today we’ve released the MicroPython plugin 1.0 for PyCharm. This plugin lets you edit your MicroPython code and interact with your MicroPython-powered microcontrollers using PyCharm. It supports ESP8266, Pyboard, and BBC Micro:bit devices. The plugin is being developed as a team project by the PyCharm Community lead Andrey Vlasovskikh. The source code for the project can be found on GitHub. MicroPython is a relatively new member of the Python interpreters family. It’s basically a Python 3.5 implementation designed for microcontrollers — small computing devices that are used everywhere from