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Julia for Data Science by Zacharias Voulgaris PhD

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CHAPTER 1: Introducing Julia

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There are dozens of programming languages out there: some generic, some focused on specific niches, each claiming to be better than the rest. The most powerful languages–the ones capable of rapidly performing complex calculations–tend to be difficult to learn (and even more difficult to master). Their audience is thus limited to those “hardcore” programmers who usually have some innate talent for this kind of work. The aspiring data scientists are faced with the prospect of devoting considerable time and energy to learning a language that will ultimately serve them poorly, requiring line after line of complex code ...

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