Getting Pycharm, Jupyter, and Virtual Environments to play nice

👨🏻‍💻Hacking together a quick shell script to get them to work together

I love Pycharm for many reasons — interactive debugging, linting, autocompletions, integrated Git tools and super-easy environment management are some of them.

One of the things I don’t love about (the free Community Edition of) Pycharm is that it doesn’t come with support for Jupyter Notebooks, which is an indispensable…


Photo by Felix Mittermeier on Unsplash

This is the 5th article in our MAFAT Radar competition series, where we take an in-depth look at the different aspects of the challenge and our approach to it. If you want a recap, check out previous posts: the introduction, the dataset, augmentations, and visualizing signal data.

When dealing with…


Photo by Paweł Czerwiński on Unsplash

This is the 2nd article in our MAFAT Radar competition series, where we take an in-depth look at the different aspects of the challenge and our approach to it. If you want a recap, check out this post.

Let’s jump straight in.

The competition organizers give a clear explanation of…


Photo by Clay Banks on Unsplash

And what can be done about it

Participating in Data Science competitions is one of the main ways Data Scientists can get experience working with “real world” datasets without working professionally in the field. Winning a competition is a huge achievement and can be the ticket to lucrative offers from top AI companies. …

Adam Cohn

Love working at the intersection of Data, Business & Code. Fascinated by AI, Philosophy, Strategy & History. Fear is the mind-killer

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