![]() 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). If you have this need, you can download it from the official website.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? MiniTool Partition Wizard can help you clone the system, manage disks better, and recover data. Surface Warranty Check: Here’re 3 Simple Ways for You Bottom Line
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