September 5, 2026
Is Python Still Worth Learning in 2026?
Every few years, a new wave of "is X still worth learning" articles shows up for whatever language is currently unfashionable. Python has been through several of these cycles already, and its actual usage keeps climbing regardless — so it's worth asking what's actually true, not what's trending.
Where Python actually wins
- Readability — Python's syntax reads close to plain English, which lowers the barrier for people learning to program for the first time, not just experienced developers switching languages
- Data science and machine learning — the vast majority of the field's tooling (pandas, NumPy, PyTorch, scikit-learn) is Python-first, and that hasn't meaningfully shifted
- Automation and scripting — small, everyday tasks like renaming files, scraping a page, or processing a spreadsheet are still faster to write in Python than almost anything else
- It's still the default teaching language — most university intro courses default to Python, which keeps the ecosystem of tutorials, answers, and libraries growing
What AI coding tools actually change
AI assistants make writing code faster, but they don't remove the need to understand what the code does — someone still has to read the output, catch a wrong assumption, and know enough to ask a better follow-up question. If anything, being able to read Python fluently makes those tools more useful, not less necessary.
squares = [n ** 2 for n in range(1, 6)] print(squares)
[1, 4, 9, 16, 25]
That's a complete, real program: build a list of squares and print it. No imports, no setup, no boilerplate — which is exactly why Python is still where most people start.
If you're starting from zero, our free Python course walks through the language from the very first print() statement, with every example verified by actually running it — not just written to look plausible.