<p dir="ltr">numba</p>
<p dir="ltr">* <a href="http://numba.pydata.org/numba-doc/0.16.0/modules/numba.html#module-numba.bytecode">http://numba.pydata.org/numba-doc/0.16.0/modules/numba.html#module-numba.bytecode</a><br>
* <a href="https://github.com/numba/numba/blob/master/numba/bytecode.py">https://github.com/numba/numba/blob/master/numba/bytecode.py</a></p>
<p dir="ltr">pypy</p>
<p dir="ltr">* <a href="http://doc.pypy.org/en/latest/interpreter.html">http://doc.pypy.org/en/latest/interpreter.html</a><br>
* <a href="http://aosabook.org/en/pypy.html">http://aosabook.org/en/pypy.html</a><br></p>
<p dir="ltr">... <a href="http://compilers.pydata.org/">http://compilers.pydata.org/</a> #Bytecode Utilities<br>
</p>
<div class="gmail_quote">On Dec 28, 2015 1:33 PM, "Sturla Molden" <<a href="mailto:sturla.molden@gmail.com">sturla.molden@gmail.com</a>> wrote:<br type="attribution"><blockquote class="quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div class="quoted-text">Brett Cannon <<a href="mailto:brett@python.org">brett@python.org</a>> wrote:<br>
<br>
> Ned also neglected to mention his byterun project which is a pure Python<br>
</div>> implementation of the CPython eval loop: <a<br>
> href="<a href="https://github.com/nedbat/byterun" rel="noreferrer" target="_blank">https://github.com/nedbat/byterun</a>"><a href="https://github.com/nedbat/byterun" rel="noreferrer" target="_blank">https://github.com/nedbat/byterun</a></a><br>
<br>
I would also encourage you to take a look at Numba. It is an LLVM based JIT<br>
compiler for Python bytecode, written for hardcore numerical algorithms in<br>
Python. It can often achieve the same performance as -O2 in C after a short<br>
burn-in while inferring the types of the arguments and variables. Using it<br>
is mostly as easy as adding an @numba.jit decorator to the function we want<br>
to accelerate. Numba is rapidly becoming what Google's long dead swallow<br>
should have been.<br>
<br>
:-)<br>
<br>
Sturla<br>
<div class="quoted-text"><br>
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