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>It's that in some scenarios python can't be made fast. Can you give some examples of this? I mean, obviously with enough effort you can "make python fast" sin
by traverseda 9y ago
>It's that in some scenarios python can't be made fast.
Can you give some examples of this? I mean, obviously with enough effort you can "make python fast" since it has good C bindings, and can just be a thin wrapper around fast stuff. Similar to how command line tools can be ridiculously fast[^1] despite, ostensibly, running in bash.
So I'm a bit confused about what you're claiming. Organizational issues, it's difficult to get management on board with an optimization pass?
[^1]: https://aadrake.com/command-line-tools-can-be-235x-faster-than-your-hadoop-cluster.html https://aadrake.com/command-line-tools-can-be-235x-faster-th...
- deleted 9y ago[deleted]
- VHRanger 9y agoMy point is do you have competent C programmers on your team? That said, there is a point in some python prototypes where you "hit the performance wall". For whatever reason, you'll need to look at one of the options to make python faster and none of them are painless unless you're already a serious C programmer.