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| author | William PC <w_calandrini[at]hotmail[dot]com> | 2022-12-28 18:11:58 +0000 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2022-12-31 09:14:41 +0700 |
| commit | 5d720b2c4cf73f2a1248907c6a60b8f3af86e5b9 (patch) | |
| tree | bcce356fdcfba602a3c14ed4e8f4babd1af3877d /python/python3-numba/README | |
| parent | 2472b8b7d6d37a5850c381000e07ac19cf09d55c (diff) | |
python/python3-numba: Added (Numba makes Python code fast)
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'python/python3-numba/README')
| -rw-r--r-- | python/python3-numba/README | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/python/python3-numba/README b/python/python3-numba/README new file mode 100644 index 0000000000000..61394f633aba3 --- /dev/null +++ b/python/python3-numba/README @@ -0,0 +1,9 @@ + 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. + + You don't need to replace the Python interpreter, run a separate +compilation step, or even have a C/C++ compiler installed. Just apply +one of the Numba decorators to your Python function, and Numba does +the rest. |