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 these lectures, 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.
Date and Time: https://hpedsi.uh.edu/education/training
UH Alumni Registration Fee: $250.00
Non-UH Affiliate Registration Fee: $250.00
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(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement.
(2) inform HPE DSI of their interest in taking the course at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class meeting.
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212 Scientific Programming with Python
- Availability: In Stock