Focuses on using a simple programming language python to work with data when Excel, SPSS and similar tools are not adequate. When tables are too big or the desired result is difficult or impossible to express in terms of formulas, using python can be the quickest, easiest and most productive way to derive value from data in a scientific or enterprise setting. This course provides the skills and understanding required to succeed in these situations.
Student will be have: 1) an understanding of what non-C languages offer for problem solution. 2) an understating of the importance of organically natural data representations for perception of problems and solution. 3) an understanding of solution construction in a functional programming environment. 4) an understanding of the use of libraries. 5) An understanding of several python APIs