Day 17 of 30Real Python & Data

📚Modules & the Ecosystem

🎯 Today's objective

Reuse code with imports and install packages with pip.

📖 Key concepts

import brings in modules
Standard library: math, random, datetime, json
pip install <package>
The data/AI stack: numpy, pandas, matplotlib, scikit-learn

💻 Try this code

import math, datetime
print(math.sqrt(144))
print(datetime.date.today())
# In a terminal: pip install numpy pandas matplotlib scikit-learn

👥 Learn it your way

🧒 Young Explorers

Modules are toolboxes other people built so you don’t have to start from scratch.

Your task

Use the math module to print √2, π, and the ceiling of 4.2.

💼 Professionals

Use virtual environments (venv) and a requirements.txt for reproducible setups.

Your task

Create a venv, install pandas, and print its __version__ from a script.

🤖 AI connection

Modern AI is built on shared libraries (PyTorch, TensorFlow, scikit-learn, transformers). Knowing how to import and install is how you stand on giants’ shoulders.

✅ Quick check

What does pip do?

Installs third-party Python packages.

Name one standard-library module.

e.g. math, random, datetime, json.