1. Data Science: Involves: Analyzing, manipulating, and extracting insights from data. Use cases: Business intelligence, market research, scientific discovery. 2. Machine Learning: Focuses on: Building models that can learn from data and make predictions. Applications: Image recognition, recommendation systems, fraud detection. 3. Web Development: Enables: Building dynamic web applications and websites. Technologies used: HTML, CSS, JavaScript frameworks like Django or Flask. 4. Game Development: Python has gained traction in game development, thanks to powerful libraries like Pygame and frameworks like Pyglet. You can create simple 2D games initially and gradually move to more complex ones. 5. Automation: Emphasizes: Creating scripts to automate repetitive tasks. Applications: Testing, data processing, web scraping.