I tried to install neurolab, termcolor libraries on Coding Ground for python into the working folder using
pip install --target=. neurolab
pip install --target=. termcolor
and they both worked.
But when I tried:
pip install --target=. numpy
it didn't work.
I'd like to be able to run my scripts that already work on my computer locally on Coding Ground so that I can share my project with people who don't have Python installed on their computer.
UPDATE: I was able to install neurolab, termcolor in the Numpy Terminal after using quit(). But there's no way to share project from Numpy Terminal.
UPDATE: after installing scipy python wheel I tried to run my script and got below error
File "/home/cg/root/neurolab/train/spo.py", line 73, in __call__
from scipy.optimize import fmin_bfgs
File "/home/cg/root/scipy/optimize/__init__.py", line 233, in <module>
from ._minimize import *
File "/home/cg/root/scipy/optimize/_minimize.py", line 26, in <module>
from ._trustregion_dogleg import _minimize_dogleg
File "/home/cg/root/scipy/optimize/_trustregion_dogleg.py", line 5, in <module>
import scipy.linalg
File "/home/cg/root/scipy/linalg/__init__.py", line 174, in <module>
from .misc import *
File "/home/cg/root/scipy/linalg/misc.py", line 5, in <module>
from .blas import get_blas_funcs
File "/home/cg/root/scipy/linalg/blas.py", line 155, in <module>
from scipy.linalg import _fblas
ImportError: libtatlas.so.3: cannot open shared object file: No such file or directory
Regarding neurolab and termcolor, they both are pure python modules.
Pure Python i.e. modules are written using only python. These libraries are platform independent and easily distributable.
for numpy, its a python wrapper written over C/C++ library
so, numpy requires a build toolchain, i.e. it needs to be built on platform before using it, this makes numpy module platform dependent.
The coding platforms like "Coding Ground” have a limited build tool chain for building complex C/C++ Python modules/extensions.
one of the solution is to build the module on other machine and then push that on "Coding Ground”.
I have created a build for numpy and uploaded it on my dropbox, you can install it on tutorialspointlike this:
wget "https://www.dropbox.com/s/40l9l9kpc018ehn/numpy-1.11.0-cp27-none-linux_x86_64.whl?dl=0&raw=1" -O numpy-1.11.0-cp27-none-linux_x86_64.whl
pip install --target=. numpy-1.11.0-cp27-none-linux_x86_64.whl
and this will look like
sh-4.3$ pip install --target=. numpy-1.11.0-cp27-none-linux_x86_64.whl
Processing ./numpy-1.11.0-cp27-none-linux_x86_64.whl
Installing collected packages: numpy
Successfully installed numpy
sh-4.3$
sh-4.3$ python
Python 2.7.10 (default, Sep 8 2015, 17:20:17)
[GCC 5.1.1 20150618 (Red Hat 5.1.1-4)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import numpy
>>>
ready to use and share the project.
more reading on how to build a python wheel
Hope this solves your problem.
Edit:
As Tin Tran had requirement for scipy module, have built it for Linux.
you can access it using following script:
wget "https://www.dropbox.com/s/awsvqm4devetljm/scipy-0.17.1-cp27-none-linux_x86_64.whl?dl=0&raw=1" -O scipy-0.17.1-cp27-none-linux_x86_64.whl
pip install --target=. scipy-0.17.1-cp27-none-linux_x86_64.whl
Note: the scipy module has a dependency on numpy, make sure you have numpy installed before hand.