Lots of tips and tricks available on the NumPY Web site, which is well worth a look, especially as you start out. This short introduction should get you started in thinking of Python as a viable ...

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.

Want faster number-crunching in Python? You can speed up your existing Python code with the Numba JIT, often with only one instruction.

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

This works nicely with general Python code. But using scientific or numerical packages like NumPy and SciPy add a few complications. Because some NumPy primitives are already highly optimized, not ...

The flexibility of Python, with its easy syntax, allows developers to rapidly prototype numerical computations with the help of libraries like NumPy and SciPy. To make use of the NumExpr package, the ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

In this article I'll show you how to cluster non-numeric, or mixed numeric and non-numeric data, using a clever idea called category utility (CU). [Click on image for larger view.]Figure 1. Clustering ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...