WSL for data scientist

See the full post here ➡️ https://ubuntu.com//blog/wsl-for-data-scientist

Excerpt below:

Windows Subsystem for Linux for data scientists

Ubuntu is the number one choice for data scientists worldwide. It is also by far the most popular Linux distribution used on public clouds with machine learning offerings. However, we don’t forget about our Windows friends – many of whom had their operating system chosen by corporate IT departments. Windows users can still get all the benefits of using Ubuntu thanks to Windows Subsystem for Linux.

This post will walk you through a complete setup from the new Windows 10 installation to a complete data scientist work environment. The assumption is that you have a laptop / desktop with Windows 10 and NVidia GPU. What we want to achieve is a stack like this:

Step 1: Install WSL

First, we need to start by installing WSL itself. 

Open PowerShell as an Administrator:

Type the following command to enable WSL:

dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart

Restart your computer.

After restarting, download and install the WSL 2 Linux kernel from Microsoft for your device architecture:

x86_64 for Intel and AMD devicesarm64 for Snapdragon and other ARM devices

Finally, we recommend you to set WSL 2 as the default WSL environment:

wsl.exe –set-default-version 2

Step 2: Install Ubuntu

Download Ubuntu for WSL from the Microsoft Store.

Run Ubuntu from the Start menu.

Select a username and password for your administrative user.

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