book

Streamlit for Web Development : Build and Scale Secure Python-Powered Apps with Streamlit

Name: Streamlit for Web Development : Build and Scale Secure Python-Powered Apps with Streamlit
ISBN: 9798868818264

by Mohammad Khorasani, Mohamed Abdou, Javier Hernández Fernández

November 2025

Intermediate to advanced

431 pages

8h 6m

English

Apress

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Streamlit for Web Development
Preface
Acronyms
Intended Audience
Additional Material
Acknowledgments
Table of Contents
About the Authors
About the Technical Reviewer
1. Introducing Streamlit
1.1 Why Streamlit?1.1.1 Local vs. the Cloud1.1.2 A Trend Toward Cloud Computing1.1.3 History of Web Frameworks in Python1.1.4 Flask1.1.5 Django1.1.6 Dash1.1.7 Web2Py1.1.8 The Need for a Pure Python Web Framework1.1.9 Academic Significance1.2 Firing It Up1.2.1 Technical Recommendations1.2.2 Environment Installation with AnacondaProgrammatic InstallationGraphical Installation1.2.3 Downloading and Installing StreamlitDirect pip InstallationManual Wheel File InstallationImporting Streamlit1.2.4 Streamlit Console CommandsConfiguring Streamlit Through the Console1.2.5 Running Demo Apps1.2.6 Writing and Testing Code with PyCharm1.3 How Streamlit Works1.3.1 The Streamlit Architecture1.3.2 ReactJS in Streamlit1.4 Summary

2. Streamlit Basics
2.1 Creating a Basic Application2.1.1 Generating User Input Forms2.1.2 Introducing Conditional FlowExample 1Example 22.1.3 Managing and Debugging ErrorsExample 1Example 22.2 Mutating Dataframes2.2.1 Filter2.2.2 Select2.2.3 Arrange2.2.4 Mutate2.2.5 Group By2.2.6 Merge2.2.7 Data Editor2.3 Rendering Static and Interactive Charts2.3.1 Static Bar Chart2.3.2 Static Line Chart2.3.3 Interactive Line Chart2.3.4 Interactive Map2.4 Developing the User Interface2.5 Summary
3. Developing the User Interface
3.1 Designing the Application3.1.1 Configuring the PageBasic Page ConfigurationRemoving Footer and Hamburger MenuAdding a Customized FooterAdvanced Page Configuration3.1.2 Developing Themes and Color SchemesCustomizing the Theme GraphicallyCustomizing the Theme ProgrammaticallyUsing Themes with Custom Components3.1.3 Organizing the PageSidebarExpandersColumnsContainersPopoversDialog BoxesPlaceholdersTabs3.2 Displaying Dynamic Content3.2.1 Creating a Real-Time Progress Bar3.3 Implementing Multipage Applications3.3.1 Creating Pages3.3.2 Grouping Subpages3.3.3 Enabling Sub URL Paths3.4 Modularizing Application Development3.4.1 Example: Developing a Social Network Application3.4.2 Fragmenting Parts of the Application3.4.3 Best Practices for Folder Structuring3.5 Summary
4. Managing and Visualizing Data
4.1 Data Management4.1.1 Processing Bytes DataTextMultimediaDataframes4.1.2 Caching Big Data4.1.3 Mutating Data in Real TimeNative Data Mutation4.1.4 Advanced and Interactive Data Mutation4.2 Exploring Plotly Data Visualizations4.2.1 Rendering Plotly in Streamlit4.2.2 Basic ChartsLine ChartScatter ChartBar ChartPie ChartChart Layout4.2.3 Statistical ChartsHistogramBox Plot4.2.4 Time-Series Charts4.2.5 Geospatial Charts4.2.6 Animated VisualizationsAnimated Bubble MapAnimated Bar Chart4.3 Summary
5. Integrating Databases
5.1 Relational Databases5.1.1 Introduction to SQL5.1.2 Connecting a PostgreSQL Database to Streamlit5.1.3 Displaying Tables in Streamlit5.2 Nonrelational Databases5.2.1 Introduction to MongoDB5.2.2 Provisioning a Cloud Database5.2.3 Full-Text Indexing5.2.4 Querying the Database5.2.5 Displaying Tables in Streamlit5.3 Summary
6. Leveraging Backend Servers
6.1 The Need for Backend Servers6.2 Frontend–Backend Communication6.2.1 HTTP Methods6.3 Working with JSON Files6.4 Provisioning a Backend Server6.4.1 API Building6.4.2 API Testing6.5 Multithreading and Multiprocessing Requests6.6 Connecting Streamlit to a Backend Server6.7 Summary
7. Implementing Session State
7.1 Implementing Session State Natively7.1.1 Building an Application with Session State7.2 Introducing Session IDs7.3 User Insights7.3.1 Visualizing User Insights7.4 Cookie Management7.5 Summary
8. Authenticating Users and Securing Applications
8.1 Developing User Accounts8.1.1 Hashing8.1.2 Salting8.2 Verifying User Credentials8.3 Secrets Management8.4 Anti-SQL Injection Measures with SQLAlchemy8.5 Configuring Gitignore Variables8.6 Summary
9. Deploying Locally and to the Cloud
9.1 Exposing Streamlit to the World Wide Web9.1.1 Port Forwarding over a Network Gateway9.1.2 HTTP Tunneling Using NGROK9.2 Deployment to Streamlit Community Cloud9.2.1 One-Click Deployment9.2.2 Streamlit Secrets9.3 Deployment to Linux9.3.1 Native Deployment on a Linux Machine9.3.2 Deployment with Linux Docker Containers9.4 Deployment to Windows Server9.4.1 Establishing a Remote Desktop Connection9.4.2 Opening TCP/IP Ports9.4.3 Anaconda Offline Package Installation9.4.4 Adding Anaconda to System Path9.4.5 Running Application As an Executable Batch File9.4.6 Running Application As a Persistent Windows Service9.5 Summary
10. Building Streamlit Components
10.1 Introduction to Streamlit Custom Components10.2 Using ReactJS to Create Streamlit Custom Components10.2.1 Making a ReactJS Component10.2.2 Using a ReactJS Component in Streamlit10.2.3 Sending Data to the Custom Component10.2.4 Receiving Data from the Custom Component10.3 Publishing Components As Pip Packages10.4 Component in Focus: Extra-Streamlit-Components10.4.1 Stepper Bar10.4.2 Bouncing Image10.4.3 Tab Bar10.4.4 Cookie Manager10.5 Summary
11. Streamlit Use Cases
11.1 Dashboards and Real-Time Applications11.1.1 Temperature Data Recorder Application11.1.2 Motor Command and Control Application11.2 Time-Series Applications11.2.1 Date-Time Filter Application11.2.2 Time-Series Heatmap Application11.2.3 Time Synchronization Application11.3 Data Management and Machine Learning Applications11.3.1 Data Warehouse Application11.3.2 Advanced Application Development: Machine Learning As a ServiceUser Authentication Without a Backend ServerUtilities ScriptConfig ScriptMain ScriptLogistic Regression Classifier11.4 Summary
12. Testing in Streamlit
12.1 Principles of Testing12.1.1 What Is Testing?12.1.2 Benefits of Testing12.1.3 Types of Testing12.2 Why Test in Streamlit?12.2.1 Behavioral and Logical Testing12.2.2 User Interface Testing12.3 Testing Streamlit Applications12.3.1 Setting Up Testing Environment12.3.2 Writing Tests12.4 Automated Testing with GitHub Actions12.4.1 Setting Up the Workflow12.4.2 Creating the Test Script12.5 Summary
13. Streamlit for AI
13.1 What Are LLMs and How Are They Useful?13.1.1 Summarization13.1.2 Content Generation13.1.3 Retrieval Augmented Generation13.2 Different Ways to Interact with LLMs13.2.1 Official Web Pages13.2.2 Application Program Interfaces13.2.3 Self-Hosting and Deployment13.3 Integrating LLMs with Streamlit13.3.1 Building an Input User Interface13.3.2 Setting Up an HTTP Connection13.3.3 Creating the Stream Effect13.3.4 Building an LLM Application with Streamlit13.4 Summary
14. Streamlit at Work
14.1 Streamlit in Clean Energy: Iberdrola14.1.1 Visualizing Operational Performance of Solar Farms14.1.2 Wind and Solar Production14.1.3 Heat Maps14.1.4 Closing Remarks14.2 Streamlit in Industry: maxon Group14.2.1 Developing a Novel Surgical Scope Adapter System for Minimally Invasive Laparoscopy14.2.2 Streamlit Command and Control Dashboard14.2.3 Closing Remarks14.3 Summary
Bibliography
Index

Overview

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

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