Transition Python to Matlab/Octave

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 2 of 4

Newton's Method: Convergence and Applications

Covers the convergence of Newton's method and its applications in numerical analysis.

NumPy Arrays and Graphical Representations: Introduction

Covers NumPy arrays and their graphical representations using Matplotlib, focusing on array creation, manipulation, and visualization techniques.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Nonlinear Equation Resolution: Introduction to Bisection Method

Introduces the bisection method for resolving nonlinear equations using numerical techniques and Python programming.

Introduction to Jupyter Notebook

Introduces setting up the environment, Git basics, and Jupyter Notebook features with practical examples.

Data Science with Python: Numpy Basics

Introduces the basics of Numpy, a numerical computing library in Python, covering advantages, memory layout, operations, and linear algebra functions.

Introduction to C Programming

Covers the basics of C programming, including syntax, data types, pointers, arrays, and compilation commands.

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

Numerical Methods: Stopping Criteria, SciPy, and Matplotlib

Discusses numerical methods, focusing on stopping criteria, SciPy for optimization, and data visualization with Matplotlib.

Digital Physics I: Week 2

Covers digital physics topics such as pair formation, report writing, and MATLAB configuration.