Introduction to NumPy: Arithmetic Operations and Arrays

Related lectures (28)

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Introduces numbers and booleans in Python, covering numeric types, arithmetic operations, logical operations, and comparisons.

Covers elementary matrices, their properties, and the algorithm to find the inverse of a matrix.

Covers the composition and product of matrices, including matrix multiplication.

Covers matrices, linear applications, vector spaces, and bijective functions.

Covers matrix invertibility, determining if a matrix is invertible, calculating its inverse, and elementary matrices.

Covers matrix operations, coefficients, combinations, and applications in various scenarios.

Covers matrix multiplication, properties, and inverses in linear algebra.

Covers the definition and properties of determinants, including the rule of Sarrus for 3x3 matrices.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.