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
New For This Edition:
- 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
Who is this Book for?
Developers with solid programming experience wanting to learn Streamlit; Back-end developers looking to upskill and transition to become a full-stack developers; Those who wish to learn and become more acquainted with data visualization, database systems, security and cloud deployment with Streamlit
Mohammad Khorasani considers himself a hybrid of an engineer and a computer scientist with a Bachelor’s of Science in Mechanical Engineering from Texas A&M University, and a Master’s in Computer Science from the University of Illinois at Urbana-Champaign. Mohammad specializes in developing and implementing software solutions for the advancement of renewable energy systems and services at Iberdrola. In addition, he develops robotic devices using embedded systems and rapid prototyping technologies. He is also an avid blogger of STEM related topics on Towards Data Science, found on Medium.
Mohamed Abdou is a Software Engineer with diverse academic and industrial exposure. A graduateof Computer Engineering from Qatar University, and currently a SDE at Amazon. Mohamed has built systems and services impacing products used by millions such as Alexa/Alexa+ and Amazon Nova. Mohamed has also built a variety of open source tools used by millions. He also mentors developers across different experience levels relating to the fundamentals and best practices for Software Design, Engineering, Computer Security, and AI helping them to be stronger software engineers Mohamed has held multiple national and international ranks in Computer Security, Leadership, and Programming Contests.
Javier Hernández Fernández specializes in the area of technology innovation and brings over twenty years of practical experience in overseeing the design and delivery of R&D initiatives on behalf of multi-national companies in the field of IT, telecom, and utilities. He currently manages research and technical consulting projects as part of the Innovation team of Iberdrola, working in the smart grid, renewables, and energy efficiency domains. In addition to a B.Sc. in Computer Science from the University of Ottawa (Canada), Javier holds two Masters degrees in Energy Management from the University of Zaragoza and Project Management from the University San Pablo CEU/IEP (Spain) and a Ph.D. in Computer Science & Engineering from HBKU.
