Summary of Python and R Together at Last: Writing Cross Language Tools | SciPy 2016 | Bill Lattner

00:00:00 - 00:20:00

This video discusses how Python and R can be used together to create cross-language tools. Bill Lattner explains how his workflows depend on the languages and the difficulties in creating a "push button" solution. The video recommends that users use the same algorithms in both languages in order to achieve reproducibility.

• 00:00:00 This video discusses how to write cross-language tools, focusing on the example of C++ and Python. The author finds C++ to be more difficult to start with, but C to be simpler.
• 00:05:00 This video demonstrates how to write cross language tools in Python and R together. Python provides a high-level API that allows for quick development, while R provides a C API that is more robust and error-prone.
• 00:10:00 This video shows how to write cross-language tools using Python and R. The main points are that the error handling is straightforward, and that the code is very similar to Python code.
• 00:15:00 Bill Lattner explains how Python and R can be used together to create cross-language tools. He also discusses how his workflows depend on the languages and the difficulties in creating a "push button" solution.
• 00:20:00 The video discusses how Python and R can be used together, with R being used for data analysis and Python being used for programming batch solutions. Reproducibility is important to the team, and they recommend that users use the same algorithms in both languages in order to achieve this.