<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/ieee-language-rankings-2018/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2018/08/ieee-language-rankings-2018.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p>Python retains its top spot in the fifth annual IEEE Spectrum top programming language rankings, and also gains a designation as an &quot;embedded language&quot;. Data science language R remains the only domain-specific slot in the top 10 (where it as listed as an &quot;enterprise language&quot;) and drops one place compared to its <a rel="nofollow" href="http://blog.revolutionanalytics.com/2017/07/ieee-spectrum-2017-top-programming-languages.html" target="_blank">2017 ranking</a> to take the #7 spot.</p>
<p>Looking at other data-oriented languages, Matlab as at #11 (up 3 places), SQL is at #24 (down 1), Julia at #32 (down 1) and SAS at #40 (down 3). Click the screenshot below for an <a rel="nofollow" href="https://spectrum.ieee.org/static/interactive-the-top-programming-languages-2018" target="_blank">interactive version of the chart</a> where you can also explore the top 50 rankings.</p>
<p><a rel="nofollow" href="https://spectrum.ieee.org/static/interactive-the-top-programming-languages-2018" target="_blank"><img border="0" alt="IEEE 2018 rankings" title="IEEE 2018 rankings" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b022ad3a6d422200b-800wi"></a></p>
<p>The IEEE Spectrum rankings are based on search, social media, and job listing trends, GitHub repositories, and mentions in journal articles. You can find <a rel="nofollow" href="https://spectrum.ieee.org/static/ieee-top-programming-languages-2018-methods" target="_blank">details on the ranking methodology here</a>, and discussion of the trends behind the 2018 rankings at the link below.</p>
<p>IEEE Spectrum: <a rel="nofollow" href="https://spectrum.ieee.org/at-work/innovation/the-2018-top-programming-languages" target="_blank">The 2018 Top Programming Languages</a></p>
</div>
	<p>
<div>
<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://blog.revolutionanalytics.com/2018/08/ieee-language-rankings-2018.html"> Revolutions</a></strong>.</div>
<hr>
<a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers.com</a> offers <strong><a rel="nofollow" href="https://feedburner.google.com/fb/a/mailverify?uri=RBloggers">daily e-mail updates</a></strong> about <a rel="nofollow" href="https://www.r-project.org/" title="The R Project for Statistical Computing">R</a> news and <a rel="nofollow" href="https://www.r-bloggers.com/search/tutorial" title="R tutorials">tutorials</a> on topics such as: <a rel="nofollow" href="https://www.r-bloggers.com/search/data%20science" title="Data science">Data science</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data" title="Big Data">Big Data, <a rel="nofollow" href="https://www.r-users.com/" title="R jobs">R jobs</a>, visualization (<a rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2" title="ggplot and ggplot2 tutorials">ggplot2</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/boxplot" title="Boxplots using lattice and ggplot2 tutorials">Boxplots</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/map" title="Maps and gis">maps</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/animation" title="Animation in R">animation</a>), programming (<a rel="nofollow" href="https://www.r-bloggers.com/search/RStudio" title="RStudio IDE for R">RStudio</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/sweave" title="Sweave and literate programming">Sweave</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX" title="LaTeX in R">LaTeX</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/SQL" title="SQL and databases">SQL</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/eclipse" title="Eclipse IDE for R">Eclipse</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/git" title="git and github, Version Control System">git</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/hadoop" title="Large data in R using Hadoop">hadoop</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping" title="Web Scraping of google, facebook, yahoo, twitter and more using R">Web Scraping</a>) statistics (<a rel="nofollow" href="https://www.r-bloggers.com/search/regression" title="Regressions and ANOVA analysis tutorials">regression</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/PCA" title="principal component analysis tutorial">PCA</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/time+series" title="Time series">time series</a>, <a rel="nofollow" href="https://www.r-bloggers.com/search/trading" title="finance trading">trading</a>) and more...
<img width="1" alt="" src="http://feeds.feedburner.com/~r/RBloggers/~4/VxOSm71SADE" height="1"></a></div>