GitHub - IntelPython/sdc: Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe CompilerYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Let's Write an LLVM Specializer for Python! (Stephen Diehl)
This is the followup to my talk LLVM Optimized Python at the Harvard-Smithsonian Center for Astrophysics, we'll do the deep dive that I didn't have time for. We're going to build a single module Numba-like compiler for Python. It won't be nearly as featureful or complete, but should demonstrate how you can go about building your own little LLVM specializer for a subset of Python or your own custom
Nuitka the Python Compiler — Nuitka the Python Compiler
IP Protection Compiling your source code for security. If you're a commercial user, ensure that all of your data and files are secured and that there are no readable strings. Performance Boost your program runtime and launch performance. Deployment Enjoy hassle-free Python deployment with standalone distributions, onefile, PyPI wheels, and more.
Numba — Numba
Numba makes Python code fast Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Learn More Try Numba » Accelerate Python Functions Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN.
Laurence Tratt: Fast Enough VMs in Fast Enough Time
Updated (February 07 2013): If you enjoy this article, you may also find the more academically-inclined article The Impact of Meta-Tracing on VM Design and Implementation interesting. [This is a long article because it covers a lot of ground that is little known by the computing mainstream, and easily misunderstood. If you’re familiar with the area, you may find yourself wanting to skip certain ex
Prototype PHP interpreter using the PyPy toolchain - Hippy VM
Prototype PHP interpreter using the PyPy toolchain - Hippy VM Hello everyone. I'm proud to release the result of a Facebook-sponsored study on the feasibility of using the RPython toolchain to produce a PHP interpreter. The rules were simple: two months; one person; get as close to PHP as possible, implementing enough warts and corner cases to be reasonably sure that it answers hard problems in th
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