npub18369m6ejyjfh47ths7qrlvqcu8jvyzxnuysx72cpvg95jfvt9l0s5z8jp6 (npub1836…8jp6) JIT stands for "Just In Time" and means "just in time compilation", which means the code is being compiled as it runs, usually with different code paths getting their own optimized compilations, so they can be super fast for the most common case. PyPy does that, and it manages to be faster than then equivalent code written in C or C++ for some cases this way.
For "dependencies" I'm still not sure if you mean subclassing, imports, or something else? Do you have an example?
ɗ𐐩ʃƕρʋ /
npub10f…rdq2u
2023-12-14 18:01:22
in reply to nevent1q…aqjs
Author Public Key
npub10ffm5eg8xk8tc5nxqvwn2dn8zk0ll7djatsjpww26dar2xvv45sqjrdq2uPublished at
2023-12-14 18:01:22Event JSON
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"content": "nostr:npub18369m6ejyjfh47ths7qrlvqcu8jvyzxnuysx72cpvg95jfvt9l0s5z8jp6 JIT stands for \"Just In Time\" and means \"just in time compilation\", which means the code is being compiled as it runs, usually with different code paths getting their own optimized compilations, so they can be super fast for the most common case. PyPy does that, and it manages to be faster than then equivalent code written in C or C++ for some cases this way.\n\nFor \"dependencies\" I'm still not sure if you mean subclassing, imports, or something else? Do you have an example?",
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