Here are 5 different career paths after learning Python:
1. Data Analyst
Description: Use Python libraries like Pandas, NumPy, and Matplotlib to collect, clean, analyze, and visualize data. Ideal for roles involving business intelligence, market trends, and decision-making support.
2. Web Developer
Description: Build dynamic websites and web apps using Python frameworks like Django or Flask. This path includes working with databases, APIs, and frontend-backend integration.
3. Machine Learning Engineer
Description: Design and develop machine learning models using libraries like scikit-learn, TensorFlow, or PyTorch. Common tasks include predictive modeling, classification, and natural language processing.
4. Automation Engineer / Scripting Specialist
Description: Write Python scripts to automate repetitive tasks such as data entry, file management, testing, or web scraping. Often used in IT support, QA, and DevOps roles.
5. Software Developer / Application Developer
Description: Develop desktop applications or backend systems using Python. This includes building tools, utilities, or full-fledged software systems, often with a focus on reliability and scalability.
