What will you learn in Building the Frontend of Python Web Applications with Streamlit Course
- Set up and configure Streamlit to build interactive Python web applications
- Use Streamlit widgets (sliders, buttons, text inputs) to capture user input dynamically
- Display data with tables, charts (Matplotlib, Altair), and maps for rich visualizations
- Organize layouts and themes using columns, containers, and custom CSS
- Manage application state, caching, and handle user-triggered callbacks
- Integrate external APIs, authentication, and deploy Streamlit apps to production
Program Overview
Module 1: Introduction to Streamlit & Setup
⏳ 1 day
Topics: Installing Streamlit, project structure, running the first app
Hands-on: Create and launch a “Hello, Streamlit!” app
Module 2: Widgets & User Input
⏳ 1 day
Topics: Input widgets (text inputs, sliders, checkboxes), form handling
Hands-on: Build a simple BMI calculator with interactive inputs
Module 3: Data Display & Visualization
⏳ 1 day
Topics: Displaying DataFrames, Matplotlib/Altair charts, map components
Hands-on: Render a COVID-19 time-series chart and interactive map
Module 4: Layouts, Themes & Styling
⏳ 1 day
Topics: Columns, expanders, tabs, custom themes, CSS injection
Hands-on: Design a two-column dashboard with dark and light theme toggles
Module 5: Media, Markdown & Interactivity
⏳ 1 day
Topics: Displaying images, audio/video, Markdown formatting, callbacks
Hands-on: Create an interactive image gallery with caption filters
Module 6: State Management & Caching
⏳ 1 day
Topics: Session state, caching data and functions for performance
Hands-on: Cache expensive API calls and preserve user selections across reruns
Module 7: Integrations & Authentication
⏳ 1 day
Topics: Consuming REST APIs, OAuth basics, embedding third-party content
Hands-on: Build a login-protected news reader app using a public API
Module 8: Deployment & Scaling
⏳ 1 day
Topics: Dockerizing Streamlit apps, Streamlit Cloud, CI/CD pipelines
Hands-on: Containerize your app and deploy to Streamlit Community Cloud
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Job Outlook
- Streamlit expertise is highly valued for roles like Data Scientist, BI Developer, and Python Web Developer
- Common industries include fintech, healthcare analytics, and SaaS startups leveraging rapid prototyping
- Salaries range from $80,000 to $130,000+ depending on experience and location
- Skills in building data-driven dashboards and deploying Python apps accelerate career growth in data-focused teams
Specification: Building the Frontend of Python Web Applications with Streamlit
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