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Julia for Data Science by Zacharias Voulgaris PhD

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CHAPTER 2: Setting Up the Data Science Lab

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Just like every applied scientist worth his or her title, if you are to use Julia for data science, you will need to set up a lab where you can explore the data you have to your avail and distill its essence. Similar to most other programming languages, the interface that comes pre-equipped with Julia is minimalistic. Usually referred to as Read, Evaluate, Print, Loop (REPL), this basic interface is great for trying out the language and creating some fundamental scripts.

However, if you want to do some serious work with Julia, you will need an IDE tailored for Julia. And if you want to do something ...

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