Python and R are two major programming languages used for research software development and data analysis in bioinformatics. It is not a symbiotic relationship, but a cold war between the fans of both.
Different tools are available to use R in python and vice versa, but they demand learning both languages. This is not easy, and thus rarely adopted.
This talk will pitch an idea of using AST to build a transpiler between two languages and showcase a simple demo of converting code written in one language directly into another.
The talk will present:
comment: great point about tools possibly dividing communities
Links for related software
Q: optimal R programming would likely involve making use of its vectorization capabilities, for example by using apply functions instead of loops. Is this something that rtopython-mapping plans to implement?
Q: Why the comments cannot be translated? Just currious.
Q: how it works under the hood?