Installation instructions are available on the Homebrew homepage We will use Homebrew to install most of the relevant software for our data science development environment. It is a free and open-source package management system which allows you to easily install applications straight from the command line. 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.
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