Module 4: Connecting your Python logic to real-world data across the internet.
SYSTEM: HTTP_PROTOCOL
31 // The Request/Response Cycle
The internet is just a conversation. Your Python code (The Client) asks for something, and a Server sends it back.
AI Insight:
- GET: Asking for data (e.g., Reading a tweet).
- POST: Sending data (e.g., Submitting a password).
- Status 200: Success!
- Status 404: Not Found.
SYSTEM: REQUESTS_LIB
32 // The Requests Library
Python's most powerful tool for talking to the web. We use it to pull data from any URL.
import requests
response = requests.get("https://api.github.com/users/EazeAi666")
data = response.json()
print(f"Followers: {data['followers']}")
Lesson 34: API Keys — Learning how to hide your secret passwords using Environment Variables.
Lesson 35: Rate Limiting — How to avoid getting banned by servers for asking for too much data too fast.
Lesson 36-39: Introduction to Flask — Briefly touching on how to build your OWN server using Python.
CAPSTONE_PROJECT_04
40 // Project: Real-Time Weather Agent
Build a tool that asks the user for a city (e.g., "Lagos"), connects to a Weather API, and prints the current temperature and humidity.
🌍 MARKET APPLICATION
Agriculture and Logistics companies in Nigeria use these exact API systems to track weather patterns and optimize delivery routes. You are now building tools that solve regional problems.