Using Python with Our Database

While R has a breadth of functionality, many data scientists and data analysts are starting to use Python. Why? Because Python offers a similarly high-level language that can be easily used to process data. While the number of statistical packages and functionality in R can still have an edge on Python, Python is growing fast, and has generally overtaken R in most of the recent polls. A lot of the Python functionality is also faster than R, in part because so much of it is written in C, a lower-level programming language.

The other large advantage that Python has is that it is very versatile. While R is generally only used in the research and statistical analysis communities, Python can be used to do anything from statistical analysis to standing up a web server. As a result, the developer community is much larger for Python. A larger development community is a big advantage because there is better community support (for example, on StackOverflow)...