Scientific computing with python course outlines the core modules in python that aids scientific computation. So anybody who is having intermediate python development skill can enroll into this course. Briefly the scientific computing ecosystem provides following prime modules : Scipy, Numpy, Matplotlib, Pylab, Sympy, Scikit, IPython, Jupiter Notebooks, etc that are required by most of the students, researchers, scientists, enthusiasts and analysts.
Apart from that, this course is completely designed as complete hands-on practical course that encourages participants to explore and experience python scripting through try-out sessions followed with the cutting-edge reviews and code improvements through expert advise. Also to keep the class fun filled there are well designed quizzes, assignments and exams that can help you kindle your coding nerdiness and prepares you to be a good problem solver.
As a complementary, this course also introduces the participants with the basics of few commonly used developer tools that are used by corporate entities in day-to-day development practices, there by helping the participant to get more confident with a broader working perspective.
Last but not least, in case of any domain specific modules that are not included in the base course can be included at the end of the course upon prior discussion.