At the time of writing, the Python Package Index hosts more than 120,000 packages. A stunning number that raises the following question: which Python packages should I use to get the job done?
This post features a basic tutorial to manage a PostgreSQL databases using the powerful psql command line interface (“PostgreSQL interactive terminal”). .
This post features a tutorial explaining how to migrate an existing local database to the Relation Database Service from Amazon (Amazon RDS). As a result, each team member can run his/her own queries and can load the requested data both into Python and R.
Last year, Tony Stenning explained on Blackrock Blog why it makes sense to introduce retirement plans for babies. In this post, I will discuss this interesting idea from an actuarial perspective. First I will provide some social background on the current global pension situation. Next, I will perform an analysis giving insight into the benefits and expenses of lifetime retirement savings. Finally, I will reserve the last part of this post for readers interested in the R code I used to perform the calculations and visualizations.
Actuarial data science is about actuaries and data scientists working together to turn data into valuable business logic. It’s as simple as that. Or is it? Well, it has been a while since I first had the opportunity to team up with this fascinating creature called a data scientist. I felt impressed and confused at the same time. Why?