Important Sidenote: We interviewed 100+ data science professionals (data scientists, hiring managers, recruiters – you name it) and identified 6 proven steps to follow for becoming a data scientist.
So keep reading to learn the pros and cons of these two operative systems. We cover all factors like software, RAM, compatibility, usability, and price. In this article, we will tell you the advantages and disadvantages of choosing a Mac or PC for data science.
However, it comes with some disadvantages like cost and longevity. The reason for Mac’s advantage is that it is compatible with more apps and tools designed for data science.
But which one is better for data science?Ī Mac is a go-to choice for many data scientists, but it doesn’t mean a PC is not a good option. When it comes to computers, there are two clear choices: Mac or PC. In the world of data science, there are many tools that you use, like software, apps, servers, and, most importantly, a powerful computer.
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