Description: Streamlit for Data Science by Tyler Richards, Adrien Treuille Streamlit for Data Science takes you through the basics of data app development, prototyping machine learning models, and deploying Streamlit apps. It walks you through practical, actionable examples using project-based learning. FORMAT Paperback CONDITION Brand New Publisher Description 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 Streamlits 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.Youll 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, youll 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 youll get the most out of this book if youve used Python libraries like Pandas and NumPy in the past. Author Biography Tyler Richards is a senior data scientist at Snowflake, working on a variety of Streamlit-related projects. Before this, he worked on integrity as a data scientist for Meta and non-profits like Protect Democracy. While at Facebook, he launched the first version of this book and subsequently started working at Streamlit, which was acquired by Snowflake early in 2022. Table of Contents Table of ContentsAn Introduction to StreamlitUploading, Downloading, and Manipulating DataData VisualizationMachine Learning and AI with StreamlitDeploying Streamlit with Streamlit Community CloudBeautifying Streamlit AppsExploring Streamlit ComponentsDeploying Streamlit Apps with Hugging Face and HerokuConnecting to DatabasesImproving Job Applications with StreamlitThe Data Project – Prototyping Projects in StreamlitStreamlit Power Users Details ISBN180324822X Author Adrien Treuille Publisher Packt Publishing Limited Year 2023 Edition 2nd ISBN-13 9781803248226 Format Paperback Imprint Packt Publishing Limited Subtitle Create interactive data apps in Python Place of Publication Birmingham Country of Publication United Kingdom AU Release Date 2023-08-14 NZ Release Date 2023-08-14 Edition Description 2nd Revised edition Replaces 9781800565500 DEWEY 005.3 Audience Professional & Vocational Pages 300 Publication Date 2023-09-29 UK Release Date 2023-09-29 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159519406;
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