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You have a .py file. It's either a data science script, a machine learning model, an automation tool, a web backend, or a university assignment — Python covers all of those, which is why it's the most popular programming language in the world right now.
Python became dominant not because it's fast (it isn't — it's significantly slower than C or Rust for compute-heavy tasks) but because it reads like pseudocode. Indentation is syntax. Variable types are inferred. A script that fetches data from an API, cleans it, and plots a chart can fit on a single screen. This readability made Python the default for data science (pandas, NumPy), machine learning (TensorFlow, PyTorch), automation, and education. The tradeoff — speed — rarely matters because for most work, developer time costs more than CPU time.
Any text editor opens .py files. VS Code with the Python extension is the most popular development environment. PyCharm (free community edition) is more specialised. To run a Python script, you need Python installed (macOS includes it; Windows users download from python.org). The ecosystem lives on pip (the package manager) and PyPI (the package repository).
* Community edition