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WSL Linux Development Fundamentals

Master the basics of Linux development with WSL2 installation, setup, and essential configuration for AI development environments.

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Professional Tools You'll Master

Essential Command-Line Tools#

  • bash/zsh: Advanced shell scripting
  • git: Version control for AI projects
  • docker: Containerization for reproducible environments
  • tmux/screen: Managing long-running training sessions
  • vim/nano: Efficient text editing
  • ssh: Remote server management

AI-Specific Linux Tools#

  • nvidia-smi: GPU monitoring and management
  • htop: System resource monitoring
  • curl/wget: Data download and API testing
  • grep/awk/sed: Log analysis and data processing
  • cron: Automated model training and deployment

Development Environment#

  • conda/pip: Python package management
  • poetry: Modern Python dependency management
  • pyenv: Python version management
  • jupyter: Interactive development and experimentation
  • tensorboard: Training visualization
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