May 2017
Intermediate to advanced
270 pages
6h 18m
English
Content preview from Python High Performance - Second Edition
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Numba
Numba was started in 2012 by Travis Oliphant, the original author of NumPy, as a library for compiling individual Python functions at runtime using the Low-Level Virtual Machine (LLVM) toolchain.
LLVM is a set of tools designed to write compilers. LLVM is language agnostic and is used to write compilers for a wide range of languages (an important example is the clang compiler). One of the core aspects of LLVM is the intermediate representation (the LLVM IR), a very low-level platform-agnostic language similar to assembly, that can be compiled to machine code for the specific target platform.
Numba works by inspecting Python functions and by compiling them, using LLVM, to the IR. As we have already seen in the last chapter, the speed ...
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