NumPy, the Python package for scientific computing, is an adolescent with prospects for a prolific maturity.

With Python and NumPy getting lots of exposure lately, I'll show how to use those tools to build a simple feed-forward neural network.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Dask: Parallelizes Python data science libraries such as NumPy, Pandas, and Scikit-learn. Dispy: Executes computations in parallel across multiple processors or machines.

First and foremost, programming is a critical skill. Python is the most widely used language in data science due to its simplicity and extensive libraries, such as Pandas, NumPy, and Scikit-Learn.

We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy, in particular) that do all the hard work.

JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative effort between the Python Software Foundation and JetBrains’ PyCharm team.