python-0.9.1

d, by whom, and what year was it? What is the use case? The Python "ergonomics use case" (not "domains use case") was originated by Python's inventor Guido van Rossum from the beginning in 1991. A clone of the 1991 Python source code has Guido's commentary for importing C modules: https://github.com/smontanaro/python-0.9.1 Modern frameworks and libraries like TensorFlow and Pytorch continue the same use case of "high-level script glue code calling low-level C code" that was there in 1991. You can't write a tight cpu loop in pure Python code to paint a 60fps video game. That's not Python's intended use case. That philosophy is why a library like Tensorflow only has Python code for users to "glue" together the neural network graph which then calls out to the C++ code for the expensive cpu loops of backpropagation, gradient descent, etc.

with Oil shows me all the stuff I'm NOT doing to support scientific computing. Even basic stuff like exponentiation x^0.2 is a huge bit of code, as well as scanning and printing floating point numbers, all of which shells lack. Oil should have proper floats but not in the initial versions. (Early in the project I also thought it would have efficient homogeneous vectors, before understanding why Python settles on heterogeneous lists and punts the rest to extensions) From your link: Perl is a interpreted language optimized for scanning arbitrary text files, extracting information from those text files, and printing reports based on that information. It's also a good language for many system management tasks. The language is intended to be practical (easy to use, efficient, complete) rather than beautiful (tiny, elegant, minimal). https://github.com/smontanaro/python-0.9.1 (I think this is from 1990 or so) This is Python, an extensible interpreted programming language that combines remarkable power with very clear syntax. This is version 0.9 (the first beta release), patchlevel 1. Python can be used instead of shell, Awk or Perl scripts, to write prototypes of real applications, or as an extension language of large systems, you name it. This is very revealing! And prescient! The intent of the creators does seem largely borne out. Perl was extended to more domains but I'd argue that the "bones" prevented it from evolving as Python did. optimized for scanning arbitrary text files, extracting information from those text files to write prototypes of real applications, or as an extension language of large systems, you name it.