Erste Schritte mit Streamlit für Data Science: Erstellen und Bereitstellen von Streamlit Web
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Erste Schritte mit Streamlit für Data Science: Erstellen und Bereitstellen von Streamlit Web
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eBay-Artikelnr.:336061876205
Artikelmerkmale
- Artikelzustand
- ISBN
- 9781800565500
Über dieses Produkt
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
180056550X
ISBN-13
9781800565500
eBay Product ID (ePID)
10050406871
Product Key Features
Number of Pages
282 Pages
Publication Name
Getting Started with Streamlit for Data Science : Create Streamlit Applications from Scratch
Language
English
Subject
General, Data Processing
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Length
92.5 in
Item Width
75 in
Additional Product Features
Intended Audience
Trade
Dewey Edition
23
Dewey Decimal
005.3
Synopsis
Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features: 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 Book 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. 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 Who this book is 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., Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features 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 Book 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. 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 Who this book is 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. ]]>
LC Classification Number
QA76.76.A65
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99,4% positive Bewertungen•196 Tsd. Artikel verkauft
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Verkäuferbewertungen (41'999)
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- Évaluations automatiques eBay- Bewertung vom Käufer.Letzter MonatCommande livrée dans les délais et sans problème
- 1***j (98)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufGreat experience. Seller responded promptly with quick shipping. The item was well packaged. The seller was great. Prices and descriptions of the merchandise were accurate.
- e***v (138)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufOverall, it went well. Good communication. I wanted the book to be shipped in a box, because the value and scarcity of the volume I purchased deserved it, however, the company is too large and I was informed the book would be shipped in a plastic mailer. Somehow it didn’t arrive very damaged, a little bump, but for the price I can’t complain. Over all I am satisfied, but if you’re a book collector, as I am, you may want to find another seller.Aurora: The Dayspring, or Dawning of the Day in the East, Boehme, Jacob, 9781558 (Nr. 236039083546)
- a***i (315)- Bewertung vom Käufer.Letzter MonatBestätigter KaufItem as described in post. Price of item was a great value. Packaging of item was well done. Postage was accurate to distance. Seller had great communication skills. Would shop here again!