I tried original one, but didn't support
(x64) I just can't install
scipy as a matter of fact,
scipy doesn't provide pre-compiled solution for Windows in the first place, and installing python in way, I think, I have no hope for it.
So next, I go for another option which I can properly setup my complier, namely cygwin.
I have read somewhere, it will work if I install python (32 bit) instead. But why should I, this is 2017!?
I tried cygwin ... it failed to build
I first installed these packages from the cygwin's installer.
python3-devel (you need this if you want to install packgaes like
After installation, Python 3 will take the name of
python3 to make it work as a default
python I did some
ln -s and some
export PATH to make it present in the default
I tried to install
numpy which I did install successfully. (arduously long install due to the compilation time)
scipy now it failed with the following error:
numpy.distutils.system_info.NotFoundError: no lapack/blas resources found
I didn't seem to find any solutions or workaround online ... so I paused there !
So, I give
conda a try ... It seems to work
You don't have to install the full-big anaconda to use
conda, you can just install the smaller miniconda it will do the job.
conda has its own way to install packages, I think it still leverage the use of
pip in some point but also with some modifications. So in short,
conda is a front-end to multi-platform mulit-language package installation.
When I install อ่านต่อ »
scipy it seemed to me that
conda also install
mkl (I don't know much about this, it's like a math optimization library for Intel CPUs or