Tip
This is a project shows how to build an AI/ML system in a WSL environment. Of course, the same can be applied in a general Linux environment.
Open Settings > Apps > Programs and Features > Turn Windows features on or off dialog and select the Windows Subsystem for Linux to enable WSL on your system. You may reboot your system.
After you have enabled WSL, you can install linux distribution via Microsoft Store. We will use the latest version of Debian linux for the hands-on lab. Open Microsoft Store app and search Debian (Debian 12, Bookworm), and install.
To verify your install, open windows terminal or command terminal and run wsl -l -v command to list WSL distributions. For more details about WSL command, please refer to Basic commands for WSL.
In this example, we will use jupyter notebook as primary interactive interface for AI, ML, Analytics examples. The runtime requiremet is Python 3.11.2 on Debian 12 linux. The first step is installing python and python virtual environment module:
sudo apt update
sudo apt install python3 python3-venv python3-pip-whl python-is-python3
Verify your python installation status using python -V or python --version. If you are not able to install python-is-python3 package, configure alias to the python version 3 binary file.
edit ~/.bashrc
alias python="/usr/bin/python3"
The next step is activating your python virtual environment for jupyter workspace. Under the cloned data-lab-on-wsl repositiry on your local environment, run source command to activate a new virtual environment:
python -m venv .venv
source ./.venv/bin/activate
After you are in your virtual environment, install jupyter package and dependencies using PIP(Package Installer for Python). The packages described in the requirements.txt file are tested on python 3.11.2, therefore you may see error if you are running on different python version.
(.venv) pip install -r requirements.txt
Launch a jupyter lab and open a web browser to access:
(.venv) jupyter-lab --no-brower (--port 8080)
You can stop and terminate the running Juypter and other processes by simply pressing ctrl+c and following the instructions that appear. Then, type deactivate to exit the virtual environment:
(.venv) deactivate