Streamlit for Web Development
66,99 €
Sofort verfügbar, Lieferzeit: Sofort lieferbar
Streamlit for Web Development, Apress
Build and Scale Secure Python-Powered Apps with Streamlit
Von Mohammad Khorasani, Mohamed Abdou, Javier Hernández Fernández, im heise shop in digitaler Fassung erhältlich
Produktinformationen "Streamlit for Web Development"
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. In this new edition, Streamlit for Web
Development, 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 every-where and all stand to gain from it.
You Will:
- Learn how to mutate big data in real-time
- Understand how to visualize big data interactively
- Implement web application security and privacy protocols
- How to successfully deploy Streamlit web applications to the cloud using Streamlit, Linux and Windows servers
- Covers updates from the Streamlit 1.4 release
- Showcases Streamlit's latest UI features
- Expands on the use and development of Streamlit Components
- Introduces new chapters on unit testing and integrating AI with Streamlit
- Demonstrates the implementation of LLMs, chatbots, and generative AI applications
Artikel-Details
- Anbieter:
- Apress
- Autor:
- Mohammad Khorasani, Mohamed Abdou, Javier Hernández Fernández
- Artikelnummer:
- 9798868818264
- Veröffentlicht:
- 19.11.25