This book is NOT in color. I couldn’t see pass the fact that the layout looked so basic and lifeless. However useful the knowledge it offers it doesn’t not make up for the lack of visual appeal.

It was an easy read especially for a technical book. The code was well explained while also allowing the reader to start developing cool apps quickly.

As a new Streamlit user, this was an outstanding resource for creating new projections with simple, step by step instructions.

Excellent guide for getting up to speed fast using Streamlit for data science projects. The step-by-step instructions are on-point and will have building great looking, user-friendly apps in hours. Serioulsy, it's never been easier to build a quick prototype and deploy it on the web. No HTML or CSS needed.I looked into Streamlit cause I wanted to productionize some projects and start building a data science portfolio to showcase my interests, etc.Case-and-point: some time ago I got frustrated with the lack of dashboards at the Peloton website. I wanted to see basic things like the number of workouts performed under which instructor, number of hours spent working out, time of day stats, etc. This is nowhere to be found on the Peloton site.So I just built my own using python for the backend, plotly for the charts and streamlit for the front-end and deployment. You can find it here: mypelotondashboardapp(dot)comYou won't find a better resource out there. Trust me. Highly recommended!

Before reading this book I thought Python was a snake. Now I’m pursuing a degree in data science and met all my closest friends in a data frat, Data Tau Data.This book changed my life and I know it will change yours. Before reading this I was lonely and ignorant to the amazing world of data science. Now I’m thriving, I think my parents are a little bit proud of me now.