Programming for data scientists (Python)

An introduction to programming in the popular Python programming language as it is applied to data science. Topics include data types, simple statements, control structures, strings, functions, recursion, the Python interpreter, system command lines and files, module imports, object types, dynamic typing, scope, classes, operator overloading, exceptions, testing, and debugging. The course will enable students to program fluently in Python for data science, and move on to advanced topics such as programming artificial intelligence and natural language processing.