Python Setup and Basics
Install Python 3.11+ from python.org. Use VS Code. Key concepts: variables, strings, lists, dictionaries. print() for output, input() for input, # for comments. Indentation matters.
Functions and Control Flow
Functions: def greet(name): return f'Hello {name}'. Conditionals: if/elif/else. Loops: for and while. List comprehensions. Error handling with try/except.
Working with APIs
Use requests library. GET/POST requests. Parse JSON. Headers for auth. Error checking with status_code. This is how you call OpenAI and any web service.
Python for AI: OpenAI and More
pip install openai. Create client, send prompts, get responses. Streaming for real-time. Function calling for structured output. Combine with pandas and schedule.
Building Your First AI Project
Project: AI Document Summarizer. Read file → send chunks to OpenAI → combine summaries → save. Teaches file I/O, API calls, data processing, error handling.
Next Steps: Data Science and ML Libraries
Explore: pandas, numpy, matplotlib, scikit-learn, transformers. These open doors to data analysis, predictive modeling, and pre-trained AI models.
Ready to put this knowledge into practice?