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

Those short tutorials were aimed at developers with a basic level of understanding of Python and who may have previously coded in JavaScript, rather than at complete novices. So far, the first ...

We recommend Spyder because it is well-designed for scientific computing and the popular packages associated with this type of work (NumPy, SciPy, pandas, matplotlib, etc.) are supported. If you ...