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The most interesting part of the post is the conclusion where the author says that he's a data scientist who uses R and doesn't feel the need to switch to Pytho
by jackschultz 9y ago
The most interesting part of the post is the conclusion where the author says that he's a data scientist who uses R and doesn't feel the need to switch to Python!
He also has very good thoughts, and very important for beginners to know, about how there isn't a single right way to learn programming.
> In any case, data science is an exciting and growing field, and there’s plenty of room for multiple languages to thrive. My main conclusion is to encourage developers early in their career to consider building skills in data science. We’ve seen here that it’s among the fastest-growing components of the software development ecosystem, and one that’s become relevant across many industries.
- make3 9y agoHow it that interesting? Statisticians and economists everywhere use R instead of Python
- jackschultz 9y agoThe fact that the author wrote a sizable post about how big Python is and is growing, but then says he's more of an R type of person instead of Python. Obviously that's interesting to see when authors aren't giant fans of what they're trying to promote.
- CuriouslyC 9y agoWhat's particularly interesting is that you can tell someone's academic pedigree from whether they use R or Python. As you mentioned, R is very popular in stats, while Python is very popular in computer science. In fact, you can tell whether other academic fields are more influenced by stats or comp. sci by this measure as well. R in econ is a great example of this, while fields that build simulations to do research tend to skew Python.