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

There are many ways to boost Python application performance. Here are 10 hard-core coding tips for faster Python.

Unlike R, Python has no clear “winning” IDE. We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, ...