How I Maximize My Data Science Productivity: PyCharm + Anaconda + JupyterLab

Original article was published by Yong Cui, Ph.D. on Artificial Intelligence on Medium


To install PyCharm, you can go to the PyCharm website: Depending on your OS, you need to download the correct version. I work for a non-profit educational institute, so I have access to the Professional version. You can take advantage of this benefit, if you’re in a similar situation. However, the Community version should work just fine if you mostly do Python development.

Once it’s downloaded, just follow the prompts. Nothing is special.

To install Anaconda, you can go to the Anaconda website: For many of us, we can just use the individual version. But there are other versions for teams and enterprises. Here’s the link to the comparison of different plans.

Similarly, you need to pick the version for your own OS. Once it’s downloaded, just follow the prompts. Everything should make sense by itself.

You don’t really need to download anything particular for JupyterLab, because once you have Anaconda up running, you can access it very conveniently within Anaconda, which will handle all the installations and other setups for you.