Feature Spotlight: Creating and managing Django projects

If you are like many Python developers out there you LOVE writing code! Tests? Not so much. Whether it’s the concept of testing or the interface of testing tools, testing is a chasm not all developers cross. The Visual Testing with pytest tutorial aims to bring Python testing to the masses, taking a new approach to first contact with Python testing. Join this journey with us and improve your testing skills in this 9-step tutorial! The tutorial As mentioned before, this tutorial was split into 9 steps. The idea is to make each step unique so you can watch and apply your lea

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

PyCharm 2020.1 comes with new Database export features that make exporting data easier. You can now see previews of the data that you want to export, letting you have a quick glance of what the data will look like. Furthermore, as many of our users prefer to export to Excel files, we've also added the ability to export Excel files as well. As a note, there is no preview for Excel, as it is a binary file. To add to this, PyCharm now lets you save your scripts into configurations, so that you can run them whenever you want to. Not only can you type in the script directly, you can also

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