Python for AI in 30 minutes

You do not need to be a Python developer to use LLM APIs. You need eight building blocks. This lesson is the shortest possible path to all eight.

Python for AI is like ordering food at a restaurant. You do not need to cook. You need to know the menu, point, and pay.

The eight building blocks you need:

1. Variables and types: x = "hi", n = 5, flag = True
2. Lists and dicts: [1,2,3], {"name": "Aman"}
3. f-strings: f"Hello {name}"
4. Functions: def greet(name): return f"Hi {name}"
5. Conditionals: if/elif/else
6. Loops: for x in items: ...
7. Imports: from openai import OpenAI
8. Environment variables: os.environ["OPENAI_API_KEY"]

That is it. Everything in this course uses just these.

# 1. Variables
name = "Aman"
age = 23

# 2. Dict (the most important Python structure for AI)
user = {"name": "Aman", "skills": ["python", "react"]}

# 3. f-string
msg = f"Hi {user['name']}, you know {len(user['skills'])} skills."

# 4. Function
def shout(text):
    return text.upper()

# 5. Conditional
if age >= 18:
    print("adult")
else:
    print("minor")

# 6. Loop
for skill in user["skills"]:
    print(skill)

# 7. Import
import os

# 8. Env var
api_key = os.environ.get("OPENAI_API_KEY", "not-set")