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Started Streamlit Data Science by Richards Tyler (14 results)
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Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python
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Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python
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Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python
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Add to basketCondition: New. Getting Started with Streamlit for Data Science takes you from the basics of web app development in the Streamlit library and machine learning model deployment in Heroku and AWS. The book shows you how you can use Streamlit for a variety of projects to impr.
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Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python
Published by Packt Publishing 2021-08-20, 2021
ISBN 10: 180056550X ISBN 13: 9781800565500
Language: English
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Getting Started with Streamlit for Data Science
Published by Packt Publishing Limited, 2021
ISBN 10: 180056550X ISBN 13: 9781800565500
Language: English
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Getting Started with Streamlit for Data Science
Published by Packt Publishing Limited, 2021
ISBN 10: 180056550X ISBN 13: 9781800565500
Language: English
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Getting Started with Streamlit for Data Science
Published by Packt Publishing, Limited, 2021
ISBN 10: 180056550X ISBN 13: 9781800565500
Language: English
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Getting Started with Streamlit for Data Science: Create Streamlit applications from scratch
Published by Packt Publishing Limited, 2021
ISBN 10: 180056550X ISBN 13: 9781800565500
Language: English
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Create, deploy, and test your Python applications, analyses, and models with ease using StreamlitKey Features:Learn how to showcase machine learning models in a Streamlit application effectively and efficientlyBecome an expert Streamlit creator by getting hands-on with complex application creationDiscover how Streamlit enables you to create and deploy apps effortlesslyBook 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 scratchExplore methods for uploading, downloading, and manipulating data in Streamlit appsCreate dynamic visualizations in Streamlit using built-in and imported Python librariesDiscover strategies for creating and deploying machine learning models in StreamlitUse Streamlit sharing for one-click deploymentBeautify Streamlit apps using themes, Streamlit Components, and Streamlit sidebarImplement best practices for prototyping your data science work with StreamlitWho 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.
