3 ms·

Although I use and enjoy Python for some purposes, I can't help by see all the effort gone into improving Python performance (including Pypy, Cython, rewriting

• wyldfire 9y ago
  Because virtually nothing is bound to anything until we get to this line of code, Python is the ultimate dynamic language. I find that the vast majority of Python code that I write is not processor-bound or memory-bound. It's disk or network bound (and still would be if I wrote it in C). It's also much simpler to teach programming in than alternatives.
• Kpourdeilami 9y ago
  The tooling and ecosystem around it are pretty much unrivalled
• cjbillington 9y ago
  Well, if you rewrite in C, you're not using the language whose semantics make it difficult to execute quickly - you're using C. One of the great things about Python is the (relative) ease of interfacing with code written in another language (particularly C), so I don't see this as a square-peg-round-hole situation. You're using the right tool for the job, possibly on the per-function level instead of per-project, but it's much the same. I really don't see the speed thing as a problem. I write everything in Python until it's slow, then I write some Cython or cuda for the bottleneck. No biggie. One language doesn't need to do everything, and with the particular set of compromises it has made, Python seems to cover a wider range of general-purposesness than most languages, so I'm happy.