Python is an easy to learn, powerful programming language. It has efficient high-level data structures that make it suitable rapid application development. Topics covered in this session will include data types, conditional and loop statements, functions, input/output, modules, classes and exceptions. Upon completion of this tutorial series, participants should be able to understand existing scientific python codes as well as write their own simple python applications. This training session also introduces participants to scientific computing extensions of python like numpy for use in high-performance computing. Using advanced python libraries like regular expressions, scipy, pandas, seaborn, scikit-learn, etc for every day scientific computing are also taught.

Prerequisites: Participants are expected to have a working knowledge of the UNIX/Linux environment or should have taken Cluster computing course from HPE-DSI dept.

UPDATED 3/12 Date: 2nd March 2020 - 15th April 2020 

Time: Mon Weds 01:00 PM - 02:30 PM

Instructor: Dr. Jerry Ebalunode

Class Capacity:  44

Location: AERB 200, 202 

Location on UH MAP: https://uh.edu/maps/#/find/MREB