Related to this feature, DataSpell, just as P圜harm, supports the scientific mode, in which, you can enable “cell-like” features in a script to run a single cell at a time. It’s useful when you write a Python script, in which you can request certain lines of code in the console such that you can evaluate the performance quickly without running the entire script. DataSpell makes it easy for us by providing the built-in support of Terminal.Įqually important is the convenient access to Python console. For instance, when I build a website using Streamlit, I need to use Terminal to launch the website for testing purposes. Sometimes, you may find it handy to open up a Terminal or Python Console to perform some other work. You don’t always work on Jupyter Notebooks or Python scripts. Right now, JetBrains is running an early access program for DataSpell, and you can download it for evaluation if you prefer. However, I guess that they will likely offer an educational or community version that can be free to some people. Just an important note before you decide to move on reading is that DataSpell won’t be a free product, just like other JetBrains IDEs. Here’s a quick summary of the key features that DataSpell has to offer.

I recently learned that JetBrains released an IDE that is specifically for data science projects - DataSpell. Easy management of virtual environment and 5) Refactoring and debugging is painless.Īlthough less known than other big tech enterprises, JetBrains is a highly innovative company that is behind the well-regarded Python IDE - P圜harm, together with several industry-leading IDEs for other specialty developments, such as WebStorm for web development.Īs a scientist who uses Python for data processing and analysis, I’m a heavy user of P圜harm, which supports all the essential features that data scientists look for. Native integration of version control tools (e.g., GitHub) 4).

Great auto-completion intelligence for high productivity 3). P圜harm gives me a more coherent user experience because I used to use AndroidStudio a lot 2). Among the common Python IDEs, P圜harm is my favorite for several reasons, just to name a few: 1).

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