The author, a lazy programmer, shares their preference for using the Nim programming language for data processing tasks, despite having access to a large processor cluster. Nim is highlighted as a capable Python replacement for non-numerical data processing, with the performance of compiled languages and the expressiveness of dynamic languages. By comparing code snippets for computing GC content in DNA sequences, the author demonstrates Nim’s significant speed advantage over Python. Additionally, Nim’s ability to generate standard C output allows compatibility and seamless integration with Python, making it a valuable tool for experienced Python users seeking better performance. Expert users find Nim programs shorter and easier to write, showcasing the language’s performance, simplicity, and elegance. Give Nim a try for data processing tasks, and your CPU will thank you.
https://benjamindlee.com/posts/2021/why-i-use-nim-instead-of-python-for-data-processing/