WSL Linux Development Fundamentals

Data Science Workflows#

# Download and process large datasets

wget -r --no-parent <https://datasets.org/ml-dataset/>
find . -name "\*.csv" -exec python process.py {} \\;

# Batch model training

for model in linear svm rf xgboost; do
python train.py --model \$model --data processed\_data/
done

MLOps and Production#

# Automated model deployment pipeline

git pull origin main
docker build -t ml-api:\$(git rev-parse --short HEAD) .
docker tag ml-api:\$(git rev-parse --short HEAD) ml-api:latest
docker push registry.company.com/ml-api:latest
kubectl rollout restart deployment/ml-api

Research and Experimentation#

# Parallel hyperparameter tuning

for lr in 0.001 0.01 0.1; do
for batch\_size in 32 64 128; do
python train.py --lr \$lr --batch\_size \$batch\_size &
done
done
wait

# Wait for all background jobs to complete

```Ready to become a Linux AI development expert? Let's start with WSL2 installation! 🐧🚀

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## WSL2 Installation & Configuration

# WSL2 Installation & Professional ConfigurationLet's get you set up with a professional Linux development environment on Windows using WSL2.

## Step 1: Enable WSL and Install WSL2

### Prerequisites Check

Before installation, verify your system meets the requirements:```powershell

# Run in PowerShell as Administrator

# Check Windows version (need Windows 10 version 2004+ or Windows 11)

systeminfo | findstr "OS Version"

# Check if virtualization is enabled in BIOS

systeminfo | findstr "Hyper-V"

Enable Required Windows Features#

# Run in PowerShell as Administrator

# Enable WSL and Virtual Machine Platform

dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart
dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart

# Restart your computer

Restart-Computer

Install WSL2 and Ubuntu#

# After restart, run in PowerShell as Administrator

# Download and install WSL2 Linux kernel update

# Visit: <https://aka.ms/wsl2kernel> and download the update

# Set WSL2 as default version

wsl --set-default-version 2

# Install Ubuntu (recommended for AI development)

wsl --install -d Ubuntu

# Alternative: Install via Microsoft Store

# Search for "Ubuntu" in Microsoft Store and install