{"product_id":"getting-started-with-streamlit-for-data-science","title":"Getting Started with Streamlit for Data Science","description":"\u003cp\u003e\u003cstrong\u003eCreate, deploy, and test your Python applications, analyses, and models with ease using Streamlit\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features:\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn how to showcase machine learning models in a Streamlit application effectively and efficiently\u003c\/li\u003e\n\u003cli\u003eBecome an expert Streamlit creator by getting hands-on with complex application creation\u003c\/li\u003e\n\u003cli\u003eDiscover how Streamlit enables you to create and deploy apps effortlessly\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\u003eStreamlit 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou'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.\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 using the power of Python.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn:\u003c\/strong\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\u003eExplore methods for uploading, downloading, and manipulating data in Streamlit apps\u003c\/li\u003e\n\u003cli\u003eCreate dynamic visualizations in Streamlit 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\u003eUse St\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":67659070144879,"sku":"9781800565500","price":549.62,"currency_code":"BRL","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0921\/9384\/9711\/files\/180056550X.jpg?v=1791090060","url":"https:\/\/internacional.umlivro.com.br\/products\/getting-started-with-streamlit-for-data-science","provider":"UmLivro Internacional","version":"1.0","type":"link"}