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Explore essential linear algebra concepts using NumPy and SciPy in this 32-minute tutorial. Gain hands-on experience with powerful Python libraries for scientific computing and data analysis. Learn to efficiently perform matrix operations, solve systems of linear equations, and implement advanced linear algebra techniques. Enhance your programming skills and mathematical understanding as you delve into practical applications of linear algebra in engineering and scientific contexts.
Syllabus
ME3255 - linear algebra in NumPy and SciPy
Taught by
Prof. Ryan C. Cooper