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(Ebook) Web Application Development with Streamlit: Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework by Mohammad Khorasani, Mohamed Abdou, Javier Hernández Fernández ISBN 9781484281116, 148428111X

  • SKU: EBN-44888638
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Instant download (eBook) Web Application Development with Streamlit: Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework after payment.
Authors:Mohammad Khorasani, Mohamed Abdou, Javier Hernández Fernández
Pages:498 pages.
Year:2022
Editon:1
Publisher:Apress
Language:english
File Size:11.0 MB
Format:pdf
ISBNS:9781484281116, 148428111X
Categories: Ebooks

Product desciption

(Ebook) Web Application Development with Streamlit: Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework by Mohammad Khorasani, Mohamed Abdou, Javier Hernández Fernández ISBN 9781484281116, 148428111X

Transition from a back-end developer to a full-stack developer with knowledge of all the dimensions of web application development, namely, front-end, back-end and server-side software. This book provides a comprehensive overview of Streamlit, allowing developers and programmers of all backgrounds to get up to speed in as little time as possible.Streamlit is a pure Python web framework that will bridge the skills gap and shorten development time from weeks to hours. This book walks you through the complete cycle of web application development, from an introductory to advanced level with accompanying source code and resources. You will be exposed to developing basic, intermediate, and sophisticated user interfaces and subsequently you will be acquainted with data visualization, database systems, application security, and cloud deployment in Streamlit.In a market with a surplus demand for full stack developers, this skill set could not possibly come at a better time. In one sentence, Streamlit is a means for the empowerment of developers everywhere and all stand to gain from it.You willMutate big data in real-timeVisualize big data interactivelyImplement web application security and privacy protocolsDeploy Streamlit web applications to the cloud using Streamlit, Linux and Windows servers
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