4 ms·

Jython doesn't have a good story for running native libraries like Numpy.

• giantrobot 3y ago
  Sure, I didn't claim it did. My point is that Python programmers don't tend to have a particular fondness for an interpreter. They tend to care only about the ecosystem. If you came up with a cxpython interpreter that was faster than cpython and supported all the modules the same way (including C interop) Python programmers would jump over to it. If your cxpython was faster than cpython but didn't support everything they'd ignore it. Case in point: Python 2.7. While 3.x offered a lot of improvements it took years for some popular modules to support it. No one bothered to look twice at Python 3 until their dependencies supported it. Python programmers don't tend to care much about the interpreter so much as the code they wrote or use running correctly.
• fulafel 3y ago
  Numpy also wasn't very prominent in those days among Python users, the explosion of data science Python use happened later. (Actually NumPy didn't even exist for most of Jython's active development, but some of its predecessors did)