The article argues that Python, which has long been the dominant language for data workflows, will not be the language for LLMs (language model models).
While Python's features, such as cross-platform support, dynamic typing, and built-in data structures, have made it popular for data analysis, LLMs will require different features, such as simple interfaces served over the web, data-lite input and output, and a focus on performance-critical libraries that are not written in Python.
The article suggests that JavaScript, or no language at all, may be more suitable for LLMs due to their deployment on the edge, simplicity for application end-developers, and the need for type safety. The article concludes that LLMs will break Python's monopoly on data workflows.
















