Many of the Numerical Analysis courses focus on the theory and derivatives of numerical methods more than programming techniques. Students get the codes of the numerical methods in different languages from textbooks and lab notes and use them while working their assignments instead of programming them themselves.
For this reason, the course of Programming Numerical Methods in Python focuses on how to program the numerical methods step by step to create the most basic lines of code that runs on the computer efficiently and output the solution at the required degree of accuracy.
This course is a practical tutorial for students of Numerical Analysis to cover the part of the programming skills of their course.
In addition to its simplicity and versatility, Python is a great educational computer language as well as a powerful tool in scientific and engineering calculations. For the past years, Python and its data and numerical analysis and plotting libraries, such as NumPy, SciPy, and MATLOTLIB, have become a very popular programming language and tool for industry and academia.
That’s why this course is based on Python as programming language and NumPy and matplotlib for array manipulation and graphical representation, respectively. At the end of each section, a number of SciPy numerical analysis functions are introduced by examples. In this way, the student will be able to program his codes from scratch and at the same time use advanced library functions in his work.
– Roots of High-Degree Equations
– Interpolation and Curve Fitting
– Numerical Differentiation
– Numerical Integration
– Systems of Linear Equations
– Ordinary Differential Equations
English Name: Udemy Programming Numerical Methods in Python
Persian Name: Programming Tutorial Methods in Python
Teacher: Murad Elarbi
Level:Secondary : 11 hours + 22 minutes
File Size: 1340 MB