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(This article was first published on <strong><a href="http://rsnippets.blogspot.com/2017/06/julia-vs-r-and-python-what-does-stack.html"> R snippets</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>TLDR: Most Julia programmers also use Python. However, most R programmers also use Julia.</p>
<p>Recently Stack Overflow has made public the <a rel="nofollow" href="https://stackoverflow.blog/2017/06/15/download-stack-overflows-2017-developer-survey-data/" target="_blank">results of Developer Survey 2017</a>. It is definitely an interesting data set. In this post I analyzed the answers to the question “<i>Which of the following languages have you done extensive development work in over the past year, and which do you want to work in over the next year?</i>” from the perspective of Julia language against other programming languages.</p>
<p>Actually we get two variables of interest: 1) what was used and 2) what is planned to be used.</p>
<h4>Basic statistics</h4>
<p>Let us start off with raw Julia statistics: 0.18% developers reported having used Julia so it is not much. But 0.67% say that they want to use it next year, which is quite a large expected growth.</p>
<p>As usually developers use several languages, especially for data science, there are two natural questions: 1) what other languages Julia programmers also use and 2) users of what languages also use Julia.</p>
<h4>Languages mostly used by Julia programmers</h4>
<p>Last year:</p>
<ol>
<li><span>Python      73.0%</span></li>
<li><span>JavaScript  40.0%</span></li>
<li><span>SQL         39.0%</span></li>
<li><span>C++         36.0%</span></li>
<li><span>C           34.0%</span></li>
<li><span>Java        32.0%</span></li>
<li><span>R           29.0%</span></li>
<li><span>Matlab      21.0%</span></li>
</ol>
<p>Plans for next year</p>
<ol>
<li><span>Python      64.0%</span></li>
<li><span>R           38.0%</span></li>
<li><span>JavaScript  29.0%</span></li>
<li><span>SQL         26.0%</span></li>
<li><span>Go          26.0%</span></li>
<li><span>C++         26.0%</span></li>
<li><span>Scala       24.0%</span></li>
<li><span>Haskell     21.0%</span></li>
</ol>
<p>We can see that Python is the most popular language among Julia developers. However, we can see that R can be expected to grow significantly in popularity in the near future.</p>
<h4>Users of what languages also use Julia</h4>
<p>Last year</p>
<ol>
<li><span>R           2.26%</span></li>
<li><span>Python      0.79%</span></li>
<li><span>C++         0.42%</span></li>
<li><span>SQL         0.35%</span></li>
<li><span>JavaScript  0.27%</span></li>
</ol>
<p>
<div>Plans for next year</div>
<p>
<ol>
<li><span>R           8.73%</span></li>
<li><span>Python      2.70%</span></li>
<li><span>C++         1.72%</span></li>
<li><span>SQL         1.64%</span></li>
<li><span>JavaScript  1.09%</span></li>
</ol>
<p>Interestingly here the situation is reversed. R developer is much more likely to use Julia than Python programmer. The situation is similar for last year and for plans for the coming year.</p>
<p><a rel="nofollow" href="https://gist.github.com/bkamins/f6564d4c45ff4c9d2ad79b16872d50fc" target="_blank">Here</a> you can get the code I used to produce the above results.</p>
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