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.

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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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 ...

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 ...

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Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of rules a ...