<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/r-and-python-support-now-built-in-to-visual-studio-2017/"></div></div><div></div></div><div></div></div>
<div>
(This article was first published on <strong><a href="http://blog.revolutionanalytics.com/2017/05/r-and-python-support-now-built-in-to-visual-studio-2017.html"> Revolutions</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div>
<p>The new Visual Studio 2017 has built-in support for programming in R and Python. For older versions of Visual Studio, support for these languages has been available via the <a target="_blank" rel="nofollow" href="https://docs.microsoft.com/en-us/visualstudio/rtvs/">RTVS</a> and <a target="_blank" rel="nofollow" href="https://microsoft.github.io/PTVS/">PTVS</a> add-ins, but the new <a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/visualstudio/2017/05/10/build-intelligent-apps-faster-with-visual-studio/">Data Science Workloads in Visual Studio 2017</a> make them available without a separate add-in. Just choose the &quot;Data Science and analytical applications&quot; option during installation to install everything you need, including Microsoft R Client and the Anaconda Python distribution.</p>
<p><a target="_blank" rel="nofollow" href="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb099bb08c970d-pi"><img title="Build-2017-DSWL-blog-installer" alt="Build-2017-DSWL-blog-installer" src="http://revolution-computing.typepad.com/.a/6a010534b1db25970b01bb099bb08c970d-800wi" border="0"></a></p>
<p>If you're new to the Python capabilities in Visual Studio, this <a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/visualstudio/2017/05/12/a-lap-around-python-in-visual-studio-2017/">Lap Around Python in VS2017</a> will provide an overview of the capabilities. The capabilities of RTVS 1.0 — described in detail in this <a target="_blank" rel="nofollow" href="http://blog.revolutionanalytics.com/2017/03/announcing-r-tools-10-for-visual-studio-2015.html">announcement for Visual Studio 2015</a> — are now available in Visual Studio 2017.</p>
<p>These capabilities are now available in all editions, including Visual Studio Community 2017 which you can <a target="_blank" rel="nofollow" href="https://www.visualstudio.com/vs/community/">download for free here</a>. For more on the new data science workloads, check out the blog post by Shahrokh Mortazavi linked below.</p>
<p>Visual Studio Blog: <a target="_blank" rel="nofollow" href="https://blogs.msdn.microsoft.com/visualstudio/2017/05/10/build-intelligent-apps-faster-with-visual-studio/">Build Intelligent Apps Faster with Visual Studio and the Data Science Workload</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/2017/05/r-and-python-support-now-built-in-to-visual-studio-2017.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 title="The R Project for Statistical Computing" rel="nofollow" href="https://www.r-project.org/">R</a> news and <a title="R tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/tutorial">tutorials</a> on topics such as: <a title="Data science" rel="nofollow" href="https://www.r-bloggers.com/search/data%20science">Data science</a>, <a title="Big Data" rel="nofollow" href="https://www.r-bloggers.com/search/Big%20Data">Big Data, <a title="R jobs" rel="nofollow" href="https://www.r-users.com/">R jobs</a>, visualization (<a title="ggplot and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/ggplot2">ggplot2</a>, <a title="Boxplots using lattice and ggplot2 tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/boxplot">Boxplots</a>, <a title="Maps and gis" rel="nofollow" href="https://www.r-bloggers.com/search/map">maps</a>, <a title="Animation in R" rel="nofollow" href="https://www.r-bloggers.com/search/animation">animation</a>), programming (<a title="RStudio IDE for R" rel="nofollow" href="https://www.r-bloggers.com/search/RStudio">RStudio</a>, <a title="Sweave and literate programming" rel="nofollow" href="https://www.r-bloggers.com/search/sweave">Sweave</a>, <a title="LaTeX in R" rel="nofollow" href="https://www.r-bloggers.com/search/LaTeX">LaTeX</a>, <a title="SQL and databases" rel="nofollow" href="https://www.r-bloggers.com/search/SQL">SQL</a>, <a title="Eclipse IDE for R" rel="nofollow" href="https://www.r-bloggers.com/search/eclipse">Eclipse</a>, <a title="git and github, Version Control System" rel="nofollow" href="https://www.r-bloggers.com/search/git">git</a>, <a title="Large data in R using Hadoop" rel="nofollow" href="https://www.r-bloggers.com/search/hadoop">hadoop</a>, <a title="Web Scraping of google, facebook, yahoo, twitter and more using R" rel="nofollow" href="https://www.r-bloggers.com/search/Web+Scraping">Web Scraping</a>) statistics (<a title="Regressions and ANOVA analysis tutorials" rel="nofollow" href="https://www.r-bloggers.com/search/regression">regression</a>, <a title="principal component analysis tutorial" rel="nofollow" href="https://www.r-bloggers.com/search/PCA">PCA</a>, <a title="Time series" rel="nofollow" href="https://www.r-bloggers.com/search/time+series">time series</a>, <a title="finance trading" rel="nofollow" href="https://www.r-bloggers.com/search/trading">trading</a>) and more...
<img height="1" alt="" width="1" src="http://feeds.feedburner.com/~r/RBloggers/~4/E583V9NQg3M"></a></div>