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

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place. You can start Jupyter Notebook ...

QuantStats Python library that performs portfolio profiling, allowing quants and portfolio managers to understand their performance better by providing them with in-depth analytics and risk metrics.

Code that works perfectly locally (on macOS) goes silent the moment it is deployed to a production Docker container. This is a common sight in solo development. This time, I fell into this classic ...

The power of Python trumps Excel workbooks.