IS&T RCS Tutorial - Numerical Computing in Python (Hands-on)

Python is now widely used for numerical calculations and data analysis. This tutorial is an introduction primarily to the Numpy library which provides data structures and algorithms that are optimized for numeric data. The Numpy library is the basis for a wide variety of numeric and graphics libraries in Python. The usage of the numpy multi-dimensional array type will be covered in detail. The Scipy library and how it can be effectively used with Numpy arrays and other Python data structures will be discussed. This tutorial assumes familiarity with Python. Prerequisite: If you are new to the Python programming language we strongly recommend that you also register for the "Introduction to Python" two-part tutorial.