![]() ![]() Homebrew is the most popular package manager for MacOS. The first step is to install a system package manager. ![]() Let’s get into it! □ Installing a System Package Manager # Homebrew # Code Editor (Jupyterlab and Visual Studio Code).We will discuss the following tools that I use as the base for a lean and effective workbench for my data science projects: using the command line for installation of software where possible). The setup guide includes the key tools required for data science workflows with a focus on lightweight tools (minimising installation of unnecessary or large packages) and automation (i.e. A code editor/integrated development environment such as Jupyterlab or VSCode. ![]() A robust Python environment for development work.A terminal application for launching applications and running programs.To get started with data science, you need three basic components: This article is a guide for installing and configuring a lean data science development environment on a new MacBook (M1+ or Intel chip). So you have just bought a new MacBook or looking into doing some data science work on your existing Mac and need to setup a development environment? ![]()
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