Python is a general-purpose programming language, created by Guido van Rossum and first released in 1991, known for its readable syntax and its rich ecosystem of libraries. It is interpreted: code runs without a manual compilation step, which makes it fast to write and test.
It covers very different uses:
- Data and AI: it is the dominant language for machine learning and data science (NumPy, pandas, PyTorch, scikit-learn).
- Web and back-end: with Django, Flask or FastAPI.
- Automation and scripting: tooling, system tasks, testing, engineering.
Its simplicity has a cost: it is slower than compiled languages such as C++ or Rust, which is why heavy computation often relies on libraries written in C under the hood.
Why it matters when hiring
"Python developer" means almost nothing on its own: a data scientist, a Django back-end developer and an engineer automating test benches all write Python, with very different skills. Specify the use case in the job ad. In interviews, the signal of real skill is the quality of shipped code (structure, tests, typing, dependency management), not the ability to write a notebook.