This course, which has as a prerequisite "Introduction to Unix" offered March 24&26 (or equivalent experience), provides an introduction to scientific computing using the Python programming language. The course covers basic data types, data structures, control flow statements, and commonly used functions from the Python standard library. We will also touch on popular third party libraries that provide facilities for efficient mathematical and statistical function, data visualization and plotting, and domain specific tasks (e.g. bioinformatics, image processing). In addition to serving as an introduction to scientific programming, this course will discuss guidelines and tools that help investigators to adhere to principles of reproducible research when carrying out computational and statistical analyses. Registration required. Please use this link: http://sites.duke.edu/researchcomputing/2014/02/25/introduction-to-scien... to access the registration form and get more information.