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Sometimes when compiling pandas you end up having to compile twice to get the library to completely build. The files that get compiled the second time tend to be the outputs of a Tempita process.
H…
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This is the error log from the given command
```
Traceback (most recent call last):
File "/private/var/tmp/sage-10.4-current/local/var/lib/sage/venv-python3.12.4/bin/sage-notebook", line 237, i…
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As a library author, I might want to get faster code without doing (much) extra work. Autovectorization can sometimes help: compilers can automatically convert code to use SIMD instructions. (Note thi…
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I did run make in libs before python train/train.py, but it still complains no module named 'nms'
```
(myVE35) wenzhen@instance-5:~/FastMaskRCNN/libs$ make
python setup.py build_ext --inplace
ru…
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`master`: only `Python` and `C`-extensions: user can install the library **without** using `Cython`.
`develop`: only `Cython' (like the old`minimal` branch).
ghost updated
8 years ago
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My anaconda distribution got corrupted so I had to uninstall and reinstall it to start fresh, which meant having to reinstall all my Python packages. However, I can no longer install `pyunicorn` via p…
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Built and installed as per the instructions:
```
./autogen.sh
./configure
make
sudo make install
```
Test with
```
LD_LIBRARY_PATH=/usr/local/lib PYTHONPATH=/usr/local/lib/python3.11/site-pac…
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Your library seems like it could take advantage of Cython for greater speedups (but no increase in mem-efficiency).
See https://cython.org/
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See https://docs.python.org/3.10/library/distutils.html
```
advanced/advanced_numpy/examples/setup_myobject.py:from distutils.core import setup, Extension
advanced/advanced_numpy/examples/setup.py:…
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As noted in #1073 and #1074 Cython (the only low level codegen target for Python 3) is very slow to compile. It would be good to have a replacement. Some options are:
* Update weave for Python 3. T…