Setting Up an AI Development Environment from Scratch on MacBook Pro

Overview

Master the complete AI development environment setup on MacBook Pro, from Python installation to GitHub CLI, virtual environments, and essential coding tools.

Syllabus

• Introduction
Course overview
Expected outcomes
• Initial Setup
System requirements
macOS updates and configurations
• Installing Python
Homebrew installation
Python 3 installation via Homebrew
Verifying Python installation
• Setting Up Virtual Environments
Introduction to virtual environments
Installing and configuring `venv`
Creating and activating a virtual environment
• Essential Python Libraries for AI
Installing pip
Key libraries: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn
• Integrated Development Environment (IDE) Setup
Reviewing popular IDEs: VS Code, PyCharm
Installing and configuring VS Code
Setting up extensions for Python and AI development
• Setting Up Jupyter Notebook
Installing Jupyter via pip
Running and configuring Jupyter Notebook
• Version Control with Git
Installing Git
Configuring Git on macOS
• Utilizing GitHub CLI
Installing GitHub CLI
Authenticating and configuring GitHub CLI
Basic GitHub CLI commands
• Testing and Debugging Tools
Introduction to debugging in Python
Setting up and using Pytest
Introduction to Pylint for code quality
• AI Frameworks and Tools Exploration
Installing TensorFlow and PyTorch
Setting up environment for GPU usage (optional)
• Best Practices and Workflow Optimization
File organization strategies
Automated testing and continuous integration basics
• Course Wrap-up
Review and conclusion
Additional resources and next steps

Subjects

Programming