ISBN: 9781800565500

Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python [Paperback] Richards, Tyler

Name: Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python [Paperback] Richards, Tyler
Brand: Limitless Chapters
SKU: 9781800565500
Price: 38.21 USD
Availability: InStock

Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python [Paperback] Richards, Tyler

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Return Policy 1. Return Window - Eligible for return within 30 days of delivery. 2138. Return Conditions - The book must be brand new (unused, unmarked, and undamaged). Important Notes: If the returned book is damaged or missing components, the refund may be denied. If the book arrives damaged (e.g., due to shipping issues), a full refund will be issued. For returns due to non-quality issues (e.g., buyer’s change of mind), the customer must cover return shipping costs.
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Return Policy 1. Return Window - Eligible for return within 30 days of delivery. 2138. Return Conditions - The book must be brand new (unused, unmarked, and undamaged). Important Notes: If the returned book is damaged or missing components, the refund may be denied. If the book arrives damaged (e.g., due to shipping issues), a full refund will be issued. For returns due to non-quality issues (e.g., buyer’s change of mind), the customer must cover return shipping costs.

Terrible to look at

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.

Great read for those looking to develop and deploy data apps. Tyler really knows his stuff!

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.

Accessible Streamlit Guide

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

The best resource for getting up and running with streamlit.

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!

This Book Deserves SIX STARS

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.

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