Introduction to Python

Module 1 · Introduction to Python · Lesson 4 of 6

Where you'll see Python in action

Because Python is a generalist, you'll find it almost everywhere — often behind the scenes. Here are some of the fields where it does the heavy lifting, with a few of the tools you'd reach for in each.

One language, many jobs
🌐
Web apps
Django · Flask · FastAPI
🤖
Data & AI
pandas · PyTorch · scikit-learn
⚙️
Automation
scripts · bots · scraping
🔬
Science
NumPy · SciPy · Astropy
💸
Finance
analytics · quant models
🚀
DevOps
Ansible · cloud tooling

The headline act is data and AI: most modern machine-learning work runs through Python libraries like pandas, PyTorch and scikit-learn. But it's just as at home serving websites, gluing systems together with quick automation scripts, crunching scientific data, or running analytics in finance.

Companies you know — from Netflix and Spotify to Instagram and NASA — lean on Python somewhere in their stack. Learning it opens a remarkably wide set of doors. But no tool is perfect, so next we'll be honest about where Python isn't the best pick.