Description: Python has become the fastest-growing major programming language in the world. It has surged in popularity over the last decade, following the development of its industry-leading capabilities in data science, machine learning and artificial intelligence, and it is now one of the most globally popular and widely used languages. In this article, I discuss some of the reasons for its popularity and explain why many actuaries and insurers have started using Python.

Description: This article looks at an extensive integrated collection of financial mathematical modeling packages available in R, a language and environment for statistical computing.

Description: A disscussion of actuar R, an R package for actuarial science, and its facilities in the fields of loss distribution modeling, risk theory and credibility theory.

Description: Overview of the session “Analytics You Should Know, but Don’t” which took place at the 2007 SOA Annual Meeting in which R, an open source language for statistical computing, was discussed.

Description: Presented at May 1996 Spring Meeting. This session offers a retrospective and prospective look at the development of actuarial pricing models and technology tools.

Description: From a session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Discussion of financial modeling considerations including: • Model platforms • Model structure • Static and dynamic model validation techniques • Data integrity

Description: This article discusses how to get data into and out of R, an open source language for statistical computing.

Description: This presentation is a concurrent session from the 1991 Meeting of the Society of Actuaries, held April 18-19 in New Orleans. The panel will discuss the approaches and techniques used for pricing and modeling insurance products, including commercial software, internal systems, maintenance issues, staff training, and asset/liability systems. Discussion from participants is included. From the Record of Society of Actuaries, Volume 17, No. 1.

Description: The complex world of life insurance, historically the domain of those gifted in integral calculus and probabilistic and present value mathematics, is explored using Excel spreadsheets and the Solver macro. The cash flow approach to learning life insurance examines how the cash flows through an insurance company without using higher math.

Description: This article will be focused on maximizing the reuse of code using features available within Moody’s Axis specifically targeted at using Formula Link.