How to write Web apps using simple Python for Data Scientists?

A Machine Learning project is never really complete if we don’t have a good way to showcase it.

While in the past, a well-made visualization or a small PPT used to be enough for showcasing a data science project, with the advent of dashboarding tools like RShiny and Dash, a good data scientist needs to have a fair bit of knowledge of web frameworks to get along.

And Web frameworks are hard to learn. I still get confused in all that HTML, CSS, and Javascript with all the hit and trials, for something seemingly simple to do.

Not to mention the many ways to do the same thing, making it confusing for us data science folks for whom web development is a secondary skill.

So, are we doomed to learn web frameworks? Or to call our developer friend for silly doubts in the middle of the night?

This is where StreamLit comes in and delivers on its promise to create web apps just using Python.

Zen of Python: Simple is better than complex and Streamlit makes it dead simple to create apps.

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