Using Windows Subsystem for Linux for Data Science by Hugo Ferreira

January 25, 2019
(106 views)

If you work on Data Science, and you do it on a Windows machine, you know that there are some libraries which do not work on Windows. At this point, you either move your work to a Linux machine, install a virtual machine or deal with cumbersome dual-booting.

Another option, if you’re running the latest versions of Windows 10, is to use the Windows Subsystem for Linux (WSL), which allows developers to run Linux environments directly on Windows, without the overhead of a virtual machine.

In this post, I’ll describe how to install an Ubuntu distribution on Windows 10 as the Linux subsystem and install Anaconda and the usual Data Science libraries. As you’ll see, if you do most of your work on Linux, the WSL allows you to keep your workflow almost unchanged if you need to use a Windows machine.

The version of Windows 10 I’m using at the moment is 1803 and the Linux distribution I’m going to install is Ubuntu 16.04.

Turn on Windows Subsystem for Linux

Before installing a Linux distribution, a few steps are necessary. First, you need to enable ‘Developer mode’. You can....

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