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Sujay Raghavendra
Beginners Guide to Streamlit with Python
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712656Beginners Guide to Streamlit with Pythonhttps://www.gandhi.com.mx/beginners-guide-to-streamlit-with-python/phttps://gandhi.vtexassets.com/arquivos/ids/917617/98b68466-ff07-4d1f-9c74-12b639658486.jpg?v=638336763671470000857952MXNApressInStock/Ebooks/<p>This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As youll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for data science and machine learning models.</p><p><em>Beginners Guide to Streamlit with Python</em> begins with the basics of Streamlit by demonstrating how to build a basic application and advances to visualization techniques and their features. Next, it covers the various aspects of a typical Streamlit web application, and explains how to manage flow control and status elements. Youll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, youll see how to deploy Streamlit applications on various platforms. The book concludes with a few prototype natural language processing apps with computer vision implemented using Streamlit.</p><p>After reading this book, you will understand the concepts, functionalities, and performance of Streamlit, and be able to develop dynamic Streamlit web-based data and machine learning applications of your own.</p><p><strong>What You Will Learn</strong></p><ul><li>How to start developing web applications using Streamlit</li><li>What are Streamlits components</li><li>Media elements in Streamlit</li><li>How to visualize data using various interactive and dynamic Python libraries</li><li>How to implement models in Streamlit web applications</li></ul><p><strong>Who This Book Is For</strong></p><p>Professionals working in data science and machine learning domains who want to showcase and deploy their work in a web application with no prior knowledge of web development.</p>...709479Beginners Guide to Streamlit with Python857952https://www.gandhi.com.mx/beginners-guide-to-streamlit-with-python/phttps://gandhi.vtexassets.com/arquivos/ids/917617/98b68466-ff07-4d1f-9c74-12b639658486.jpg?v=638336763671470000InStockMXN99999DIEbook20229781484289839_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_<p>This book will teach you the basics of Streamlit, a Python-based application framework used to build interactive dashboards and machine learning web apps. Streamlit reduces development time for web-based application prototypes of data and machine learning models. As youll see, Streamlit helps develop data-enhanced analytics, build dynamic user experiences, and showcases data for data science and machine learning models.</p><p><em>Beginners Guide to Streamlit with Python</em> begins with the basics of Streamlit by demonstrating how to build a basic application and advances to visualization techniques and their features. Next, it covers the various aspects of a typical Streamlit web application, and explains how to manage flow control and status elements. Youll also explore performance optimization techniques necessary for data modules in a Streamlit application. Following this, youll see how to deploy Streamlit applications on various platforms. The book concludes with a few prototype natural language processing apps with computer vision implemented using Streamlit.</p><p>After reading this book, you will understand the concepts, functionalities, and performance of Streamlit, and be able to develop dynamic Streamlit web-based data and machine learning applications of your own.</p><p><strong>What You Will Learn</strong></p><ul><li>How to start developing web applications using Streamlit</li><li>What are Streamlits components</li><li>Media elements in Streamlit</li><li>How to visualize data using various interactive and dynamic Python libraries</li><li>How to implement models in Streamlit web applications</li></ul><p><strong>Who This Book Is For</strong></p><p>Professionals working in data science and machine learning domains who want to showcase and deploy their work in a web application with no prior knowledge of web development.</p>...9781484289839_Apresslibro_electonico_2eb04e5f-6b3e-391c-a8ad-a558bd7a23fd_9781484289839;9781484289839_9781484289839Sujay RaghavendraInglésMéxico2022-12-16T00:00:00+00:00Apress