Big Data Programming Languages: What Are The Differences Between Python, R, and Julia?

When it comes to coding Big Data and analytical applications, a select group of programming languages have become the default choices.

This is because their feature sets make them well suited to handling large and complicated datasets. Not only were they originally designed with statistical purposes in mind, but a broad developer ecosystem has also evolved around them. This means there are extensions, libraries, and tools out there for performing just about any analytics functions you might need.

Author: Bernard Marr


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