Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

If you’re doing work in statistics, data science, or machine learning, the odds are high you’re using Python. And for good reason, too: The rich ecosystem of libraries and tooling, and the convenience ...

The power of Python trumps Excel workbooks.

Modern Python developers use virtual environments (venvs), to keep their projects and dependencies separate. Managing project dependencies gets more complex as the number of dependencies grows.