How NumPy speeds array math in Python A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types.

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

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.

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.

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

[153Armstrong] did a short post on how easy it is to generate waveforms using Python. We agree it is simple, but actually, it isn’t so much Python per se, it is some pretty cool libraries (SciPy ...

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

M icrosoft just announced new feature for Python in Excel that lets you analyze images in your spreadsheets. You no longer need outside tools—you can manipulate, analyze, and pull information from ...