Since 2008, Microsoft (formerly Revolution Analytics) staff and guests have written about R every weekday at the Revolutions blog: http://blog.revolutionanalytics.com and every month I post a summary of articles from the previous month of particular interest to readers of r-help. In case you missed them, here are some articles related to R from the month of September: The R-Ladies meetups and the Women in R Taskforce support gender diversity in the R community: http://blog.revolutionanalytics.com/2016/09/all-the-r-ladies.html Highlights from the Microsoft Data Science Summit include recordings of many presentations about R, and the keynote "The Future of Data Analysis" by Edward Tufte: http://blog.revolutionanalytics.com/2016/09/data-science-summit-highlights.html An R-based fraud detection model scores credit card transactions in SQL Server at a rate of 1 million records per second: http://blog.revolutionanalytics.com/2016/09/fraud-detection.html The Financial Times uses R for quantitative journalism (and made some lovely animations comparing European football teams): http://blog.revolutionanalytics.com/2016/09/financial-times-quantitative-journalism.html Part 3 in a series on Deep Learning looks at combining CNNs with RNNs: http://blog.revolutionanalytics.com/2016/09/deep-learning-part-3.html There were many real-world applications of R presented at the EARL London conference http://blog.revolutionanalytics.com/2016/09/reflections-on-earl-london-2016.html, including applications of Microsoft R at Investec, British Car Auctions and Beazley Group http://blog.revolutionanalytics.com/2016/09/microsoft-r-at-the-earl-conference.html. Tips on choosing the right data science tool for a project: http://blog.revolutionanalytics.com/2016/09/choose-the-right-tool.html Tidyverse: a collection of packages for working with data in R: http://blog.revolutionanalytics.com/2016/09/tidyverse.html The Linux Data Science Virtual Machine has been upgraded with new tools including Microsoft R Server: http://blog.revolutionanalytics.com/2016/09/linux-dsvm-upgrade.html The Pirate's Guide to R: a video and 250-page e-book to learn the R language: http://blog.revolutionanalytics.com/2016/09/pirates-guide-to-r.html The 2016 O'Reilly Data Science Salary Survey reveals the most-used tools are SQL (70%), R (57%) and Python (54%): http://blog.revolutionanalytics.com/2016/09/2016-data-science-salary-survey.html A simple explanation of Convolutional Neural Networks: http://blog.revolutionanalytics.com/2016/09/how-the-algorithm-behind-deep-learning-works.html A template for building a predictive maintenance application with SQL Server R Services: http://blog.revolutionanalytics.com/2016/09/r-services-maintenance.html The R Consortium awarded a grant of $10,000 to The R Documentation Task Force to design and build the next generation R documentation system: http://blog.revolutionanalytics.com/2016/09/volunteer-to-help-improve-rs-documentation.html Scaling R-based applications with DeployR grid nodes and slots: http://blog.revolutionanalytics.com/2016/09/the-elements-of-scaling-r-based-applications-with-deployr.html An R packages to extract colour palettes from satellite imagery: http://blog.revolutionanalytics.com/2016/09/the-pallettes-of-earth.html A guide for porting SAS programs for financial data manipulation to R: http://blog.revolutionanalytics.com/2016/09/rewriting-sas-in-r-for-finance.html How to analyze basketball data and create animations of player movements with R: http://blog.revolutionanalytics.com/2016/09/analyzing-nba-basketball-data-with-r.html Create a more perceptive heatmap colour scale with the viridis package: http://blog.revolutionanalytics.com/2016/09/choose-a-good-heatmap-color-scale-with-viridis.html General interest stories (not related to R) in the past month included: how a newspaper was printed in 1973 (http://blog.revolutionanalytics.com/2016/09/because-its-friday-typesetting-in-the-olden-days.html), illusions caused by our poor peripheral vision (http://blog.revolutionanalytics.com/2016/09/peripheral-illusions.html), a chart (to scale!) about climate change (http://blog.revolutionanalytics.com/2016/09/because-its-friday-a-big-chart-about-climate-change.html), a happier version of the X Files Theme (http://blog.revolutionanalytics.com/2016/09/because-its-friday-the-happy-files.html), and a short film on the creation of the universe (http://blog.revolutionanalytics.com/2016/09/because-its-friday-the-creation-of-the-universe-in-paint-and-salt.html). If you're looking for more articles about R, you can find summaries from previous months at http://blog.revolutionanalytics.com/roundups/. You can receive daily blog posts via email using services like blogtrottr.com. As always, thanks for the comments and please keep sending suggestions to me at davidsmi at microsoft.com or via Twitter (I'm @revodavid). Cheers, # David -- David M Smith <davidsmi at microsoft.com> R Community Lead, Microsoft? Tel: +1 (312) 9205766 (Chicago IL, USA) Twitter: @revodavid | Blog: ?http://blog.revolutionanalytics.com