Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Now that we know how to build arrays, let's look at how to pull values our of an array using indexing, and also slicing off sections of an array. Similar to selecting an element from a python list, we ...

NumPy includes some tools for working with linear algebra in the numpy.linalg module. However, unless you really don’t want to add SciPy as a dependency to your project, it’s typically better to use ...