Many of the Numerical Analysis courses focus on the theory and derivations of the numerical methods more than the programming techniques. Students get the codes of the numerical methods in different languages from textbooks and lab notes and use them in working their assignments instead of programming them by 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 run on the computer efficiently and output the solution at the required degree of accuracy.
This course is a practical tutorial for the 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 computations. For the last years, Python and its data and numerical analysis and plotting libraries, such as NumPy, SciPy and matplotlib, have become very popular programming language and tool in 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 in the same time use the advanced library functions in his work.
Instructor Details
Courses : 1
Specification: Programming Numerical Methods in Python
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15 reviews for Programming Numerical Methods in Python
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Price | $14.99 |
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Provider | |
Duration | 12.5 hours |
Year | 2020 |
Level | Beginner |
Language | English |
Certificate | Yes |
Quizzes | No |
$89.99 $14.99
Cem Gunes –
Clearly explains, the main problems in Numerical Methods. I’m glad I follow that course Thanks!
Jonathan Vera –
EDIT: This course is the BEST $10 i have ever spent!! I used this as a study guide for my computational mechanics class (Mechanical Engineering student) and on my final i was able to successfully and easily answer 5/6 problems on my final by referring to this. Could’ve been all 6 if i had more time. Wonderful course and i recommend for beginners for sure!
Lachlan MacDonald –
I have some interest in numerical methods and had very little coding experience this course was a perfect introduction to both.
SN Rida Mahmudah –
He is just too kind and give everything out. A little challenge or quiz to make us think by ourselves now and then in the course probably will do us good.
Braullo D. Pe alosa –
In the first video, the introduction seems like very nice since the professor is speaking not too fast. I like the way how he speaks since it is very slow. I really can understand how he explains the subject. I hope that all throughout the course, it would be that way. Good job. God bless.
Gustavo Pires Villela de Almeida –
Good introductory course on numerical methods and how to use Python programming language to solve initial and boundary problems.
Abraham –
Excelente
William Dennis –
I like it so far. It’s very clear.
Gheorghe –
the beauty of simple explanation 🙂
Vaibhav Bishi –
This course was extremely helpful and was very well taught. I thank the teacher for sharing his knowledge to so many students all over the world.
Ralph Carlo Evidente –
Good! It’s just that i hope you can solve some PDEs using Python!
Ulrik Mortensen –
Excellent introduction and explanations.
Lance Homich –
Clear step by step explanations. Thanks!
Mohammad Imroz Alam –
Its really very nice course. I would definitely recommend this video to build strong foundation in numerical methods
Guilherme Pimentel de Lima –
This course is very usefull and faster to understand numerical methods on practice. It’s great!