Just added clojure to the query to see what it gives. You can do it too, simply follow the link I give in the article. Closure is a bit less popular than Julia, hence not significant at this point. See https://www.indeed.com/jobtrends/q-python-and-%28%22machine-...

I think you are spot on.

I did not include rust in the article, but it is easy to add it to the query. I just did it, and rust appears in 0% of job offers, see https://www.indeed.com/jobtrends/q-python-and-%28%22machine-...

Agreed. I welcome suggestions on how to distinguish both using keywords in job offers.

Carefully? Possibly in some non-automatic fashion?

I don't have the data. I use indeed.com trend queries. All we can do is to select which keywords to use.

That sounds like your problem and not mine. Right now the article reads like "who is your ISP" and 30% of people responded "Netgear".

If you think job offers are written in such a dumb way that netgear could be regarded as an ISP then I would agree with you. What evidence do you have of this?

You can add them to the queries I used to see the results. Look for pointer in the article. Reason I didn't include matlab was that I didn't include any commercial product. To your point I could have included Octave still. I just did it, and Octave is at 0%: https://www.indeed.com/jobtrends/q-python-and-%28%22machine-...

Not sure where you get this from. The most popular machine learning framework, scikit-learn, runs fine in 3.5. I am also using xgboost with Python 3.5 (yes, xgboost is a major open source for machine learning, just look at what framework is used by most Kaggle competition winners). TensorFlow, mxnet also support 3.5. I would have agreed with you a year ago, but there has been a major shift in use from 2.7 to 3.5 in 2016.

edited for typo.

I didn't include it indeed, but you can try yourself. Just modify the query of my article (look for pointers).

You're absolutely right, and the data doesn't allow to split between api vs core implementation.

Several prominent open sources are written primarily in C++. TensorFlow is a good example.

Lua isn't missed, read the article again. it is just that it just that Lua appears in exactly 0% of the job offers on indeed.com.