Book Image

Web App Development Made Simple with Streamlit

By : Rosario Moscato
Book Image

Web App Development Made Simple with Streamlit

By: Rosario Moscato

Overview of this book

This book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you’ll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages. Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You’ll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques. By the end of this book, you’ll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud.
Table of Contents (23 chapters)
Free Chapter
1
Part 1: Getting Started with Streamlit
5
Part 2: Building a Basic Web App for Essential Streamlit Skills
10
Part 3: Developing Advanced Skills with a Covid-19 Detection Tool
15
Part 4: Advanced Techniques for Secure and Customizable Web Applications

Getting to Know Streamlit – A Brief Overview

Streamlit is a Python library that allows developers to quickly create interactive web applications with plottings, widgets, themes, and more. It provides an intuitive and easy-to-use interface that makes it simple to create custom web apps with minimal coding effort. It offers a range of built-in widgets and components, such as sliders, dropdowns, and text inputs, that can be used to create interactive visualizations and dashboards. The library also supports real-time data updates and even integrates with popular data science tools, such as pandas, Matplotlib, and TensorFlow.

Compared to other Python libraries for creating web apps, such as Flask and Django, Streamlit focuses on providing an intuitive interface for creating interactive visualizations and dashboards in a very simple and fast way. Flask and Django are more general-purpose web frameworks that can be used for a wider range of web applications, but they require more...