Update Feb 2024 with Mac OS Sonoma on M3 Pro.

I, recently, changed jobs and got a brand new mac. Now, I am a data scientist and I wanted my new mac to be familiar. In this post, I wanted to show what I installed on my new mac to make it somewhat efficient from the get-go. I Hope, this post will help you get started, quickly 🙂

1. Install Xcode

xcode-select --install

2. Install Packages

Install basic utility packages to get ready to change the world with AI 🙂

• homebrew
  • 🔔 Make sure to follow the instructions printed after homebrew install is completed
• oh-my-zsh
  • sh -c "$(curl -fsSL https://raw.githubusercontent.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"
  • Enable oh-my-zsh plugins
    • git
    • aliases
    • python
• git
  • Setup git ssh
  • Install git lfs – brew install git-lfs
• pyenv – Manage mulitple python environments)
• tldr – Get useful help with command line tools
• httpie – A simpler curl
• amethyst – manage multiple windows
• iterm – a better terminal

3. Python 🐍 Installation

• initialize pyenv – eval "$(pyenv init -)"
• restart shell – `exec $SHELL`
• pyenv install 3.12
• pyenv global 3.12

4. Install Docker (increase memory or at least make a note of this in your mind if some data science images don’t work)

6. CLI Starters

7. Apps

• 1Password
• VS Code
  • Also add VS code to your command line