This technical article was written for The Data Incubator by Don Fox, a Fellow of our 2017 Summer cohort in New York City.
When it comes to scientific computing and data science, two key python packages are NumPy and pandas. NumPy is a powerful python library that expands Python’s functionality by allowing users to create multi-dimenional array objects (
ndarray). In addition to the creation of
ndarray objects, NumPy provides a large set of mathematical functions that can operate quickly on the entries of the
ndarray without the need of for loops.