LECTURES

Easy to learn Most scientists are not paid as programmers, neither have they been trained so. They need to be able to draw a curve, smooth a signal, do a Fourier transform in a few minutes... This part of the Scientific Python Lectures is a self-contained introduction to everything that is needed to use Python for science, from the language itself, to numerical computing or plotting... Painful usage: no interactivity during development, mandatory compilation steps, verbose syntax, manual memory management. These are difficult languages for non programmers.

Primary location: Data