In the previous post, it is discuss how to develop and package an R machine learning model. In this post, I'll illustrate how to deploy the model via AWS Lambda.

In this post, I'll demonstrate how to test and develop a logistic regression model developed in R. Also the model will be packaged for AWS Lambda.

Render multiple pages in an open source R Shiny application with htmlOutput and renderUI, including login and registration backed by a SQLite database.

In this post, a simple way of internal load balancing is demonstrated by redirecting multiple same applications, depending on the number of processes binded to them

In this post, a way to overcome one of R's limitations of lack of multi-threading is discussed by job queuing using the jobqueue package

Wrap Python boto calls for Amazon S3 in an R package, rs3helper, where the Python scripts return JSON so R parses it as vectors and data frames.

Call a SOAP web service from Python with the suds library, a job R has no comprehensive client package for, demonstrated on the Sizmek MDX API.

Write Python in an object-oriented style, shown with SOAP API client classes, and a reading order for the Introducing Python book by chapter group.