This tutorial was contributed by Justin Johnson.
We will use the Python programming language for all assignments in this course. Python is a great general-purpose programming language on its own, but with the help of a few popular libraries (numpy, scipy, matplotlib) it becomes a powerful environment for scientific computing.
We expect that many of you will have some experience with Python and numpy; for the rest of you, this section will serve as a quick crash course both on the Python programming language and on the use of Python for scientific computing.
Some of you may have previous knowledge in Matlab, in which case we also recommend the numpy for Matlab users page.
You can also find an IPython notebook version of this tutorial here created by Volodymyr Kuleshov and Isaac Caswellfor CS 228.
Table of contents:
Python Basic data typesContainers ListsDictionariesSetsTuples FunctionsClasses Numpy ArraysArray indexingDatatypesArray mathBroadcasting SciPy Image operationsMATLAB filesDistance between points Matplotlib PlottingSubplotsImages 原文地址：http://cs231n.github.io/python-numpy-tutorial/
