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

The Version Control System support in PyCharm has been revamped with a new and improved commit workflow as well as an interactive rebasing option. This means, that it gives you more control over the way you commit your changes. New Commit Tool Window There are a couple of changes that are noteworthy. Now, when you commit, it no longer opens up a dialog box (although if you like the old way of doing things, you can keep it that way). Instead, what you see is the commit panel. The commit panel keeps track of all the changes that you have made in your versioned files. This change from a non-

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).

Data science and Jupyter Notebooks are obviously super-big in Python. PyCharm has had Jupyter support for several years but we needed to do a re-think, to better align our “IDE for Python Professionals” mission with Jupyter workflows. PyCharm 2019.1 delivers that re-think with completely re-implemented Jupyter Notebook support. We’re proud of it and decided to interview Anton Bragin, our lead developer for Jupyter, to explain the why/what/how. First, let’s get to know you. Tell us a little about yourself. I joined PyCharm team year and a half ago. Before JetBrains I was involved both in s

What’s something you do all the time in Python? Import modules from packages. Not just that, you also fiddle with the formatting to make the style nannies happy. And remove unused imports. And bunches of other janitorial tasks. Let PyCharm be your janitor. PyCharm has tons of support to take over this mundane drudgery, from auto-import to re-organizing your import lines, with settings to customize its work. This support is both super-helpful and underappreciated. Let’s solve that with a deep dive on PyCharm’s import support, including new import styling features in PyCharm 2018.3. Zen C

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

The latest and greatest early access program (EAP) version of PyCharm is now available from our website: Get PyCharm 2017.3 EAP 6 Improved Python interpreter selection interface In the previous PyCharm 2017.3 EAP 5 build we introduced a new UI for configuring project interpreters in your existing projects. To recap: The project interpreter dropdown in Settings | Project | Project interpreter now has only the virtualenvs you have specifically configured for that particular project, and virtualenvs that you’ve specifically configured to be shared between projects:  Under the gear icon

Learning something new is not only about getting new knowledge or mastering new skills – it is also about building new habits and getting the most joy out of something. That’s why with this blog post we wanted to start a series of posts covering learning methods and tips and tricks designed to help you to learn more effectively and make you more comfortable and excited with learning Python in PyCharm Edu. It may also help set up productivity habits that will be quite useful for further professional Python development with PyCharm. So, let’s start! Make your IDE feel like home While coding, a

In April we had a webinar about Visual Debugging. I misfired at the end, when showing template debugging in web frameworks, and promised a do-over. Here’s the do-over...let’s talk about a wonderful and useful feature in PyCharm Professional: breakpoints in templates. PyCharm’s visual debugger is a killer feature, usually the highest-rated feature in our IDE. PyCharm can put breakpoints not just in Python code, but in Django and Jinja2 templates. Let’s take a look at PyCharm Professional template debugging in Django, Flask, and Pyramid. In this blog post, I’m using the latest stable relea

Back in 2016, we partnered with Stepik to announce a brand-new Python course. It adapted to each student's level of knowledge and interest and helped them stay more motivated and productive while learning Python. This course was the first step towards adopting Adaptive Learning, which we believe is one of the key trends in the future online education. After an adoption period, we've fixed all the issues in the latest PyCharm Edu 3.5.1. The Adaptive Python course is now polished and ready to use! Let’s explore it in more detail. The Adaptive Python Course To start the course, go to File -&