Web Application Development with Streamlit: Develop and Deploy Secure and Scalable Web Applications to the Cloud Using a Pure Python Framework

Table of Contents
About the Authors
About the Technical Reviewers
Acknowledgments
Preface
Acronyms
Intended Audience
Additional Material
Chapter 1: Getting Started with Streamlit
	1.1	 Why Streamlit?
		1.1.1 Local vs. the Cloud
		1.1.2 A Trend Toward Cloud Computing
		1.1.3 History of Web Frameworks in Python
		1.1.4 Flask
		1.1.5 Django
		1.1.6 Dash
		1.1.7 Web2Py
		1.1.8 The Need for a Pure Python Web Framework
		1.1.9 Academic Significance
	1.2	 Firing It Up
		1.2.1 Technical Requirements
		1.2.2 Environment Installation with Anaconda
			Programmatic Installation
			Graphical Installation
		1.2.3 Downloading and Installing Streamlit
			Direct pip Installation
			Manual Wheel File Installation
			Importing Streamlit
		1.2.4 Streamlit Console Commands
			Configuring Streamlit Through the Console
		1.2.5 Running Demo Apps
		1.2.6 Writing and Testing Code with PyCharm
	1.3	 How Streamlit Works
		1.3.1 The Streamlit Architecture
		1.3.2 ReactJS in Streamlit
	1.4	 Summary
Chapter 2: Streamlit Basics
	2.1 Creating a Basic Application
		2.1.1 Generating User Input Forms
		2.1.2 Introducing Conditional Flow
			Example 1
			Example 2
		2.1.3 Managing and Debugging Errors
			Example 1
			Example 2
	2.2 Mutating Dataframes
		2.2.1 Filter
		2.2.2 Select
		2.2.3 Arrange
		2.2.4 Mutate
		2.2.5 Group By
		2.2.6 Merge
	2.3 Rendering Static and Interactive Charts
		2.3.1 Static Bar Chart
		2.3.2 Static Line Chart
		2.3.3 Interactive Line Chart
		2.3.4 Interactive Map
	2.4 Developing the User Interface
	2.5 Summary
Chapter 3: Architecting the User Interface
	3.1 Designing the Application
		3.1.1 Configuring the Page
			Basic Page Configuration
			Removing Footer and Hamburger Menu
			Adding a Customized Footer
			Advanced Page Configuration
		3.1.2 Developing Themes and Color schemes
			Customizing the Theme Graphically
			Customizing the Theme Programmatically
			Using Themes with Custom Components
		3.1.3 Organizing the Page
			Sidebar
			Expanders
			Columns
			Containers
			Placeholders
	3.2 Displaying Dynamic Content
		3.2.1 Creating a Real-Time Progress Bar
	3.3 Provisioning Multipage Applications
		3.3.1 Creating Pages
			Enabling URL Paths
		3.3.2 Creating Subpages
	3.4 Modularizing Application Development
		3.4.1 Example: Developing a Social Network Application
		3.4.2 Best Practices for Folder Structuring
	3.5 Summary
Chapter 4: Data Management and Visualization
	4.1 Data Management
		4.1.1 Processing Bytes Data
			Text
			Multimedia
			Dataframes
		4.1.2 Caching Big Data
		4.1.3 Mutating Data in Real Time
			Native Data Mutation
		4.1.4 Advanced and Interactive Data Mutation
	4.2 Exploring Plotly Data Visualizations
		4.2.1 Rendering Plotly in Streamlit
		4.2.2 Basic Charts
			Line Chart
			Scatter Chart
			Bar Chart
			Pie Chart
			Chart Layout
		4.2.3 Statistical Charts
			Histogram
			Box Plot
		4.2.4 Time-Series Charts
		4.2.5 Geospatial Charts
		4.2.6 Animated Visualizations
			Animated Bubble Map
			Animated Bar Chart
	4.3 Summary
Chapter 5: Database Integration
	5.1	 Relational Databases
		5.1.1 Introduction to SQL
		5.1.2 Connecting a PostgreSQL Database to Streamlit
		5.1.3 Displaying Tables in Streamlit
	5.2	 Nonrelational Databases
		5.2.1 Introduction to MongoDB
		5.2.2 Provisioning a Cloud Database
		5.2.3 Full-Text Indexing
		5.2.4 Querying the Database
		5.2.5 Displaying Tables in Streamlit
	5.3	 Summary
Chapter 6: Leveraging Backend Servers
	6.1 The Need for Backend Servers
	6.2 Frontend-Backend Communication
		6.2.1 HTTP Methods
	6.3 Working with JSON Files
	6.4 Provisioning a Backend Server
		6.4.1 API Building
		6.4.2 API Testing
	6.5 Multithreading and Multiprocessing Requests
	6.6 Connecting Streamlit to a Backend Server
	6.7 Summary
Chapter 7: Implementing Session State
	7.1 Implementing Session State Natively
		7.1.1 Building an Application with Session State
	7.2 Introducing Session IDs
	7.3 Implementing Session State Persistently
	7.4 User Insights
		7.4.1 Visualizing User Insights
	7.5 Cookie Management
	7.6 Summary
Chapter 8: Authentication and Application Security
	8.1 Developing User Accounts
		8.1.1 Hashing
		8.1.2 Salting
	8.2 Verifying User Credentials
	8.3 Secrets Management
	8.4 Anti-SQL Injection Measures with SQLAlchemy
	8.5 Configuring Gitignore Variables
	8.6 Summary
Chapter 9: Deploying Locally and to the Cloud
	9.1 Exposing Streamlit to the World Wide Web
		9.1.1 Port Forwarding over a Network Gateway
		9.1.2 HTTP Tunneling Using NGROK
	9.2 Deployment to Streamlit Cloud
		9.2.1 One-Click Deployment
		9.2.2 Streamlit Secrets
	9.3 Deployment to Linux
		9.3.1 Native Deployment on a Linux Machine
		9.3.2 Deployment with Linux Docker Containers
	9.4 Deployment to Windows Server
		9.4.1 Establishing a Remote Desktop Connection
		9.4.2 Opening TCP/IP Ports
		9.4.3 Anaconda Offline Package Installation
		9.4.4 Adding Anaconda to System Path
		9.4.5 Running Application as an Executable Batch File
		9.4.6 Running Application As a Persistent Windows Service
	9.5 Summary
Chapter 10: Building Streamlit Components
	10.1 Introduction to Streamlit Custom Components
	10.2 Using ReactJS to Create Streamlit Custom Components
		10.2.1 Making a ReactJS Component
		10.2.2 Using a ReactJS Component in Streamlit
		10.2.3 Sending Data to the Custom Component
		10.2.4 Receiving Data from the Custom Component
	10.3 Publishing Components As Pip Packages
	10.4 Component in Focus: Extra-Streamlit-Components
		10.4.1 Stepper Bar
		10.4.2 Bouncing Image
		10.4.3 Tab Bar
		10.4.4 Cookie Manager
		10.4.5 Router
	10.5 Summary
Chapter 11: Streamlit Use Cases
	11.1 Dashboards and  Real-Time Applications
		11.1.1 Temperature Data Recorder Application
		11.1.2 Motor Command and Control Application
	11.2 Time-Series Applications
		11.2.1 Date-Time Filter Application
		11.2.2 Time-Series Heatmap Application
		11.2.3 Time Synchronization Application
	11.3 Data Management and Machine Learning Applications
		11.3.1 Data Warehouse Application
		11.3.2 Advanced Application Development: Machine Learning As a Service
			User Authentication Without a Backend Server
			Utilities Script
			Config Script
			Main Script
			Logistic Regression Classifier
	11.4 Summary
Chapter 12: Streamlit at Work
	12.1 Streamlit in Clean Energy: Iberdrola
		12.1.1 Visualizing Operational Performance of Wind Farms
		12.1.2 Wind Turbine Power Curves
		12.1.3 Wind Roses
		12.1.4 Heat Maps
		12.1.5 Closing Remarks
	12.2 Streamlit in Industry: maxon Group
		12.2.1 Developing a Novel Surgical Scope Adapter System for Minimally Invasive Laparoscopy
		12.2.2 Streamlit Command and Control Dashboard
		12.2.3 Closing Remarks
	12.3 Summary
Appendix A: Streamlit Application Program Interface
	A.1 The Streamlit API
		A.1.1 Displaying Text
			Write
			Text
			Markdown
			Title, Header, and Subheader
			Caption
			Code
			LaTeX
			Magic Commands
		A.1.2 Displaying Data
			Dataframes
			Tables
			JSON
			Metric
		A.1.3 Displaying Charts
			Line, Area, and Bar Charts
			Pyplot
			Altair
			Vega-Lite
			Plotly
			Bokeh
			PyDeck
			Graphviz
			Maps
		A.1.4 Input Widgets
			Buttons
			Download Button
			Checkbox
			Radio Button
			Select Box
			Multiselect Box
			Slider
			Select Slider
			Text Input
			Number Input
			Text Area
			Date Input
			Time Input
			File Uploader
			Camera Input
			Color Picker
			Forms
		A.1.5 Displaying Interactive Widgets
			Displaying Images
			Displaying an Audio Player
			Displaying Video
		A.1.6 Page Structure
			Sidebar
			Columns
			Expander
			Container
			Placeholder
		A.1.7 Displaying Status and Progress
			Progress Bar
			Spinner
			Messages
			Exception
			Balloons
			Snow
		A.1.8 Utilities
			Page Configuration
			Code Echo
			Documentation
			Stop Execution
		A.1.9 Session State Management
			Initializing Session State Variables
			Accessing Session State Variables
			Updating Session State Variables
			Deleting Session State Variables
			Widget Session State
		A.1.10 Data Management
			Caching Data
			Caching Functions
			Caching Objects
			Mutate Data
		A.1.11 The Hamburger Menu
Bibliography
Index