- 16 students
- 3 lessons
- 0 quizzes
- 10 week duration
About the Course: This course is designed to provide the basic knowledge of a python programming language required for science graduate students. This course focuses on the application of python programming for solving mathematical problems and simulating systems that involve numerical integrations and differentiation. This course also intends to introduce the various python scientific packages and subroutines which are useful in scientific computations.
Course Learning outcomes:
After the successful completion of this course, the student would be able to:
>>Write and execute programs in python involving mathematical calculations.
>>Use various loop options in python according to the requirement.
>>Write programs involving numerical integration and differentiation techniques.
>>Develop simple applications in python.
>>Customize and make use of scientific packages available in python.
Introduction to python Programming
Syntax and sample programs
Python programme flow. Data types, logical statements
Loops in python
Arrays and Matrices in python
Plots in python
Python functions, modules, subroutines
Numerical integration using python
Solution of higher order differential equations using python
Read/write options in python
Simple applications using python
Useful Scientific packages in python
0.00 average based on 0 ratings