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Getting Started with Streamlit for Data Science
Getting Started with Streamlit for Data Science

Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python

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Profile Icon Tyler Richards
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£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (21 Ratings)
Paperback Aug 2021 282 pages 1st Edition
eBook
£41.99
Paperback
£52.99
Subscription
Free Trial
Renews at £9.99p/m
Arrow left icon
Profile Icon Tyler Richards
Arrow right icon
£9.99 per month
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (21 Ratings)
Paperback Aug 2021 282 pages 1st Edition
eBook
£41.99
Paperback
£52.99
Subscription
Free Trial
Renews at £9.99p/m
eBook
£41.99
Paperback
£52.99
Subscription
Free Trial
Renews at £9.99p/m

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Key benefits

  • Learn how to showcase machine learning models in a Streamlit application effectively and efficiently
  • Become an expert Streamlit creator by getting hands-on with complex application creation
  • Discover how Streamlit enables you to create and deploy apps effortlessly

Description

Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time. You'll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps. By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.

Who is this book for?

This book is for data scientists and machine learning enthusiasts who want to create web apps using Streamlit. Whether you’re a junior data scientist looking to deploy your first machine learning project in Python to improve your resume or a senior data scientist who wants to use Streamlit to make convincing and dynamic data analyses, this book will help you get there! Prior knowledge of Python programming will assist with understanding the concepts covered.

What you will learn

  • Set up your first development environment and create a basic Streamlit app from scratch
  • Explore methods for uploading, downloading, and manipulating data in Streamlit apps
  • Create dynamic visualizations in Streamlit using built-in and imported Python libraries
  • Discover strategies for creating and deploying machine learning models in Streamlit
  • Use Streamlit sharing for one-click deployment
  • Beautify Streamlit apps using themes, Streamlit Components, and Streamlit sidebar
  • Implement best practices for prototyping your data science work with Streamlit

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 20, 2021
Length: 282 pages
Edition : 1st
Language : English
ISBN-13 : 9781800565500
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Product Details

Publication date : Aug 20, 2021
Length: 282 pages
Edition : 1st
Language : English
ISBN-13 : 9781800565500
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Total £ 121.97
Interactive Dashboards and Data Apps with Plotly and Dash
£38.99
Getting Started with Streamlit for Data Science
£52.99
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£29.99
Total £ 121.97 Stars icon
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Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(21 Ratings)
5 star 90.5%
4 star 0%
3 star 4.8%
2 star 0%
1 star 4.8%
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Daniel Cajigas Aug 20, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great book - easy to read and very helpful
Amazon Verified review Amazon
xoxo Aug 21, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Broke things down in a very digestible manner. Would recommend for anyone trying to get started with Streamlit.
Amazon Verified review Amazon
Adrien Treuille Sep 01, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
(Full disclosure: I'm one of the original creators of Streamlit.) Over the past couple years, we've seen several books about Streamlit. This is the first which really captures the *essence* of the project -- how and why Streamlit fundamentally speeds the process of building data app. This book presents a fun, accessible, and completely original take on learning Streamlit. I recommend it for data scientists, machine learning engineers, and Pythonistas of all skill levels!
Amazon Verified review Amazon
OB Aug 24, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is an incredibly helpful book and explains concepts in ways that are easily digestible. Highly recommend to anyone interested in this topic.
Amazon Verified review Amazon
Paul Zuo Aug 20, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I'll be honest; my python was not very strong prior to reading this book and the examples here are so thorough and PRACTICAL. I will be using this in my day to day data science work.
Amazon Verified review Amazon
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