I feel like python acts like a kind of bus in scientific computing, connecting various high performance libraries and DSLs together.
That said, this article's story of someone using the wrong algorithm is a bad example in my view. Python hasn't succeeded because people are more likely to use more efficient algorithms due to easier experimentation, it has succeeded because the of the size of the ecosystem and the fact such algorithms are easily available.
That said, this article's story of someone using the wrong algorithm is a bad example in my view. Python hasn't succeeded because people are more likely to use more efficient algorithms due to easier experimentation, it has succeeded because the of the size of the ecosystem and the fact such algorithms are easily available.