compiling Python code using LLVM

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A Just-In-Time Compiler for Numerical Functions in Python

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax.

Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.

For more information about Numba, see the Numba homepage: https://numba.pydata.org and the online documentation: https://numba.readthedocs.io/en/stable/index.html

Installation

Please follow the instructions:

https://numba.readthedocs.io/en/stable/user/installing.html

Demo

Please have a look and the demo notebooks via the mybinder service:

https://mybinder.org/v2/gh/numba/numba-examples/master?filepath=notebooks

Contact

Numba has a discourse forum for discussions:

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This version

0.64.0

0.64.0rc1 pre-release

0.63.1

0.63.0

0.63.0rc1 pre-release

0.63.0b1 pre-release

0.62.1

0.62.0

0.62.0rc2 pre-release

0.62.0rc1 pre-release

0.61.2

0.61.1rc1 pre-release

0.61.0

0.61.0rc2 pre-release

0.61.0rc1 pre-release

0.60.0

0.60.0rc1 pre-release

0.59.1

0.59.0

0.59.0rc1 pre-release

0.58.1

0.58.0

0.58.0rc2 pre-release

0.58.0rc1 pre-release

0.57.1

0.57.1rc1 pre-release

0.57.0

0.57.0rc1 pre-release

0.56.4

0.56.3

0.56.2

0.56.0

0.56.0rc1 pre-release

0.55.2

0.55.1

0.55.0

0.55.0rc1 pre-release

0.54.1

0.54.1rc1 pre-release

0.54.0

0.54.0rc3 pre-release

0.54.0rc2 pre-release

0.53.1

0.53.0

0.53.0rc3 pre-release

0.53.0rc2 pre-release

0.53.0rc1.post1 pre-release

0.52.0

0.52.0rc3 pre-release

0.52.0rc2 pre-release

0.51.2

0.51.1

0.51.0

0.51.0rc1 pre-release

0.50.1

0.50.0

0.50.0rc1 pre-release

0.49.1

0.49.1rc1 pre-release

0.49.0

0.48.0

0.47.0

0.46.0

0.45.1

0.45.0

0.44.1

0.44.0

0.43.1

0.43.0

0.42.1

0.42.0

0.41.0

0.40.1

0.40.0

0.39.0

0.38.1

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0.37.0

0.36.2

0.36.1

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0.32.0

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0.30.1

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0.29.0

0.28.1

0.27.0

0.26.0

0.25.0

0.24.0

0.23.1

0.23.0

0.22.1

0.22.0

0.21.0

0.20.0

0.19.2

0.19.1

0.18.2

0.18.1

0.17.0

0.16.0

0.15.1

0.14.0

0.13.4

0.13.3

0.13.2

0.13.0

0.12.2

0.12.1

0.12.0

0.11.0

0.10.1

0.10.0

0.9.0

0.8.1

0.8.0

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