Python is a high-level general-purpose programming language that has become very popular for everything from scripting applications and web-page generation to machine learning and solving scientific problems, most commonly in the physical sciences. It shares many basic characteristics with languages like Mathematica, Matlab, and Labview, and it has an extensive set of numerical and scientific modules. In this course, we will use Python to build instructions describing scientific problems and solve them using the college computing cluster.
Python is open-source software that can be downloaded and installed for free. Anaconda is the recommended distribution for scientific computing, providing many important modules for Python such as numpy, scipy, and pandas, along with the integrated development environment Spyder: https://www.anaconda.com/download/success
This workshop is in four parts, Monday through Thursday, June 24 – 27, 2 PM – 5 PM.
Please register in advance: https://forms.gle/XN8foBJXQLiLz44s8