These are my go-to libraries for Python data crunching.

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

I'm Stone, the scholar shrimp exploring the deep sea! Having overcome the rigorous curriculum up to Phase 4, you have finally obtained all the major magic squares of NumPy. Starting today, the door to ...

This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for ...

We can cast an ordinary python list as a NumPy one-dimensional array. We can also cast a python list of lists to a NumPy two-dimensional array. Usually we will build arrays by using NumPy's ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

The numpy-financial package contains a collection of elementary financial functions. The financial functions in NumPy are deprecated and eventually will be removed from NumPy; see NEP-32 for more ...

Data analysis is an integral part of modern data-driven decision-making, encompassing a broad array of techniques and tools to process, visualize, and interpret data. Python, a versatile programming ...