Published by Blackwell (edition New Ed), 1989
ISBN 10: 0631169482 ISBN 13: 9780631169482
Language: English
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Published by International Psychoanalytic Books, 2021
ISBN 10: 1949093972 ISBN 13: 9781949093971
Language: English
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Published by International Psychoanalytic Books, 2021
ISBN 10: 1949093972 ISBN 13: 9781949093971
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Published by Packt Publishing 02/g /20 A, 2021
ISBN 10: 180056550X ISBN 13: 9781800565500
Language: English
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Published by Packt Publishing 20 A, 2021
ISBN 10: 180056550X ISBN 13: 9781800565500
Language: English
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Paperback. Condition: Very Good. Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Published by Packt Publishing 9/28/2023, 2023
ISBN 10: 180324822X ISBN 13: 9781803248226
Language: English
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Add to basketPaperback or Softback. Condition: New. Streamlit for Data Science - Second Edition: Create interactive data apps in Python 1.14. Book.
Published by International Psychoanalytic Books, 2021
ISBN 10: 1949093972 ISBN 13: 9781949093971
Language: English
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ISBN 10: 180324822X ISBN 13: 9781803248226
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Add to basketPaperback. Condition: New. An easy-to-follow and comprehensive guide to creating data apps with Streamlit, including how-to guides for working with cloud data warehouses like Snowflake, using pretrained Hugging Face and OpenAI models, and creating apps for job interviews.Key FeaturesCreate machine learning apps with random forest, Hugging Face, and GPT-3.5 turbo modelsGain an insight into how experts harness Streamlit with in-depth interviews with Streamlit power usersDiscover the full range of Streamlit's capabilities via hands-on exercises to effortlessly create and deploy well-designed appsBook DescriptionIf you work with data in Python and are looking to create data apps that showcase ML models and make beautiful interactive visualizations, then this is the ideal book for you. Streamlit for Data Science, Second Edition, shows you how to create and deploy data apps quickly, all within Python. This helps you create prototypes in hours instead of days!Written by a prolific Streamlit user and senior data scientist at Snowflake, this fully updated second edition builds on the practical nature of the previous edition with exciting updates, including connecting Streamlit to data warehouses like Snowflake, integrating Hugging Face and OpenAI models into your apps, and connecting and building apps on top of Streamlit databases. Plus, there is a totally updated code repository on GitHub to help you practice your newfound skills.You'll start your journey with the fundamentals of Streamlit and gradually build on this foundation by working with machine learning models and producing high-quality interactive apps. The practical examples of both personal data projects and work-related data-focused web applications will help you get to grips with more challenging topics such as Streamlit Components, beautifying your apps, and quick deployment.By the end of this book, you'll be able to create dynamic web apps in Streamlit quickly and effortlessly.What you will learnSet up your first development environment and create a basic Streamlit app from scratchCreate dynamic visualizations using built-in and imported Python librariesDiscover strategies for creating and deploying machine learning models in StreamlitDeploy Streamlit apps with Streamlit Community Cloud, Hugging Face Spaces, and HerokuIntegrate Streamlit with Hugging Face, OpenAI, and SnowflakeBeautify Streamlit apps using themes and componentsImplement best practices for prototyping your data science work with StreamlitWho this book is forThis book is for data scientists and machine learning enthusiasts who want to get started with creating data apps in Streamlit. It is terrific for junior data scientists looking to gain some valuable new skills in a specific and actionable fashion and is also a great resource for senior data scientists looking for a comprehensive overview of the library and how people use it. Prior knowledge of Python programming is a must, and you'll get the most out of this book if you've used Python libraries li.
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