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NumPy Tutorial for Physicists, Engineers, and Mathematicians - 2022

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Overview

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This course introduces NumPy for scientific programming in physics, mathematics, and engineering. It covers array manipulation, calculus and statistics, multidimensional arrays, basic datasets, and computational linear algebra.

Syllabus

Introduction
Array Operations
Indexing and Slicing 1 Dimension
Calculus and Statistics
Examples
Multi-Dimensional Arrays
Functions on Multi-Dimensional Arrays
Linear Algebra: Matrix Operations
Linear Algebra: Systems of Equations
Linear Algebra: Eigenvalue Problems
Examples
Basic Datasets

Taught by

Mr. P Solver

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