As I frequently travel in data science circles, I’m hearing more and more about a new kind of tech war: Python vs. R. I’ve lived through many tech wars in the past, e.g. Windows vs. Linux, iPhone vs.

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More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, not competitive. As data science becomes critical to every ...

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Python’s built-in data structures and algorithms make it ideal for both learning and interview preparation. From lists and sets to heaps and graphs, mastering these concepts improves coding efficiency ...

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The service for building and hosting algorithms and monetizing them as APIs will also support the standard repositories for third-party code used by each language Algorithmia, a marketplace for ...