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 which 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/products/distribution
This workshop is in four parts, Monday, Wednesday, Thursday, and Friday, July 10, 12, 13, and 14, 9 AM – 12 Noon
Please register in advance: https://forms.gle/9oSbea1XkGNZsoXeA