Scientific Computing with NumPy

High-performance numerical computing with NumPy: contiguous N-dimensional arrays, vectorized ufuncs, broadcasting rules, and linear algebra solvers.

CoursePython Programming & Scientific Computing for Engineers
LanguageEnglish
Module SequenceUnit 3

Module Overview

N-dimensional arrays, vectorized arithmetic, broadcasting rules, and linear algebra routines.

Covered Topics

  • Ndarray Creation, Slicing & Strides
  • Vectorized Operations vs. Python Loops
  • Matrix Multiplication & Eigenvalue Solvers

Applied Tools & Technologies

🛠️ NumPy