{"product_id":"streamlit-for-data-science-second-edition-create-interactive-data-apps-in-python-paperback","title":"Streamlit for Data Science - Second Edition: Create interactive data apps in Python - Paperback","description":"\u003cp\u003eby \u003cb\u003eTyler Richards\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAn 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.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCreate machine learning apps with random forest, Hugging Face, and GPT-3.5 turbo models\u003c\/li\u003e\n\u003cli\u003eGain an insight into how experts harness Streamlit with in-depth interviews with Streamlit power users\u003c\/li\u003e\n\u003cli\u003eDiscover the full range of Streamlit's capabilities via hands-on exercises to effortlessly create and deploy well-designed apps\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eIf 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!\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWritten 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to create dynamic web apps in Streamlit quickly and effortlessly.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSet up your first development environment and create a basic Streamlit app from scratch\u003c\/li\u003e\n\u003cli\u003eCreate dynamic visualizations using built-in and imported Python libraries\u003c\/li\u003e\n\u003cli\u003eDiscover strategies for creating and deploying machine learning models in Streamlit\u003c\/li\u003e\n\u003cli\u003eDeploy Streamlit apps with Streamlit Community Cloud, AWS, and Heroku\u003c\/li\u003e\n\u003cli\u003eIntegrate Streamlit with Hugging Face, OpenAI, and Snowflake\u003c\/li\u003e\n\u003cli\u003eBeautify Streamlit apps using themes and components\u003c\/li\u003e\n\u003cli\u003eImplement best practices for prototyping your data science work with Streamlit\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis 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 like Pandas and NumPy in the past.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 300\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.63 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 28, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42704696311871,"sku":"9781803248226","price":95.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/c4238f2cf89d5dd2eb5832df412a8405.webp?v=1765034173","url":"https:\/\/dhlswag.com\/products\/streamlit-for-data-science-second-edition-create-interactive-data-apps-in-python-paperback","provider":"BBB","version":"1.0","type":"link"}