YoVDO

Physics Python Warm Up Questions Using Numpy

Offered By: Dot Physics via YouTube

Tags

Python Courses Physics Courses Data Visualization Courses Linear Algebra Courses Matplotlib Courses NumPy Courses Matrix Operations Courses Eigenvalues Courses Eigenvectors Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a series of Python warm-up exercises focused on physics applications using NumPy and Matplotlib. Learn to import essential libraries, create and manipulate arrays, plot data, work with matrices, calculate eigenvalues and eigenvectors, and perform array slicing. Practice creating x-value arrays, generating corresponding V-values, plotting x vs. V, modifying array elements based on conditions, constructing matrices with specific diagonal and off-diagonal elements, and visualizing eigenvectors. Enhance your Python skills for physics computations through these hands-on exercises designed to reinforce fundamental concepts and techniques.

Syllabus

Physics Python Warm Up Questions (and Answers) using Numpy


Taught by

Dot Physics

Related Courses

Intro to Statistics
Stanford University via Udacity
Introduction to Data Science
University of Washington via Coursera
Passion Driven Statistics
Wesleyan University via Coursera
Information Visualization
Indiana University via Independent
DCO042 - Python For Informatics
University of Michigan via Independent