Installing SciPy and NumPy using pip

This worked for me on Ubuntu 14.04:

sudo apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran
pip install scipy

you need the libblas and liblapack dev packages if you are using Ubuntu.

aptitude install libblas-dev liblapack-dev
pip install scipy

I am assuming Linux experience in my answer; I found that there are three prerequisites to getting pip install scipy to proceed nicely.

Go here: Installing SciPY

Follow the instructions to download, build and export the env variable for BLAS and then LAPACK. Be careful to not just blindly cut'n'paste the shell commands - there will be a few lines you need to select depending on your architecture, etc., and you'll need to fix/add the correct directories that it incorrectly assumes as well.

The third thing you may need is to yum install numpy-f2py or the equivalent.

Oh, yes and lastly, you may need to yum install gcc-gfortran as the libraries above are Fortran source.

I was working on a project that depended on numpy and scipy. In a clean installation of Fedora 23, using a python virtual environment for Python 3.4 (also worked for Python 2.7), and with the following in my setup.py (in the setup() method)

setup_requires=[
    'numpy',
],
install_requires=[
    'numpy',
    'scipy',
],

I found I had to run the following to get pip install -e . to work:

pip install --upgrade pip

and

sudo dnf install atlas-devel gcc-{c++,gfortran} subversion redhat-rpm-config

The redhat-rpm-config is for scipy's use of redhat-hardened-cc1 as opposed to the regular cc1