YoVDO

Introduction to Numerical Computation Applications Using Ubuntu WSL

Offered By: Canonical Ubuntu via YouTube

Tags

Ubuntu Courses Software Development Courses Mandelbrot Set Courses MPI Courses Distributed Computing Courses Electromagnetics Courses Numerical Computing Courses Thermal Analysis Courses Windows Subsystem for Linux Courses Fluid Simulation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore numerical computation applications using Ubuntu WSL in this 11-minute video. Learn how developers can leverage Ubuntu on Windows Subsystem for Linux to streamline their workflow, enabling shared code for local testing and cluster deployment. Follow along as Ubuntu WSL engineer Eduard Gómez Escandell demonstrates the benefits of this approach using an example project from his GitHub repository. Discover how this method can increase efficiency and reduce iteration time for complex engineering problems in fluid simulations, electromagnetics, and thermal analysis. Gain insights into the challenges of developing computationally expensive solvers and how Ubuntu WSL can address these issues. Understand the advantages of using wrappers, distributed computation, and real engineering applications in the context of WSL. By the end of the video, grasp why WSL is a valuable tool for numerical computing and how it can enhance productivity in enterprise environments.

Syllabus

Introduction
Challenges
Productivity
Wrappers
Mandelbrot
Motherboard
Distributed computation
Real engineering
Why WSL


Taught by

Canonical Ubuntu

Related Courses

Fundamental Tools of Data Wrangling
University of Colorado Boulder via Coursera
From Python to Numpy
Independent
Data Analysis with Python: Zero to Pandas
Jovian
Learning MATLAB
LinkedIn Learning
NumPy Essential Training: 1 Foundations of NumPy
LinkedIn Learning