Programming Numerical Methods in Python

A Practical Approach to Understand the Numerical Methods

4.37 (870 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Program the numerical methods to create simple and efficient Python codes that output the numerical solutions at the required degree of accuracy.

Create and manipulate arrays (vectors and matrices) by using NumPy.

Use the plotting functions of matplotlib to present your results graphically.

Apply SciPy numerical analysis functions related to the topics of this course.

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Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

Programming Numerical Methods in Python provides an accessible deep dive into understanding numerical approaches with clear, well-organized content and practical Python implementations. A few rough edges around pacing and the limited scope hold it back from true greatness—still, it remains a compelling option for those seeking to bolster their skills.

What We Liked

Comprehensive coverage of numerical methods and their Python implementations, making it a valuable resource for both beginners and those seeking to refresh their knowledge
Instructor's clear explanation of mathematical concepts along with the code, aiding understanding of how the math works in practice
The six topics progress from easier to harder, enabling learners to gradually build on and apply their new skills in a systematic manner
Well-structured content, providing a solid foundation for Python-based scientific computing

Potential Drawbacks

Instructional style might benefit from some tightening up, as some testimonials indicate slow pace or overly lengthy explanations
More advanced students might desire additional information about limitations and optimizations in the methods presented
Limited scope of topics could leave learners desiring deeper coverage or exploration of more complicated problems