Installing SciPy with pip

If I first install BLAS, LAPACK and GCC Fortran as system packages (I’m using Arch Linux), I can get SciPy installed with:

pip install scipy

In Ubuntu 10.04 (Lucid), I could successfully pip install scipy (within a virtualenv) after installing some of its dependencies, in particular:

$ sudo apt-get install libamd2.2.0 libblas3gf libc6 libgcc1 libgfortran3 liblapack3gf libumfpack5.4.0 libstdc++6 build-essential gfortran libatlas-sse2-dev python-all-dev

Addon for Ubuntu (Ubuntu 10.04 LTS (Lucid Lynx)):

The repository moved, but a

pip install -e git+http://github.com/scipy/scipy/#egg=scipy

failed for me… With the following steps, it finally worked out (as root in a virtual environment, where python3 is a link to Python 3.2.2):
install the Ubuntu dependencies (see elaichi), clone NumPy and SciPy:

git clone git://github.com/scipy/scipy.git scipy

git clone git://github.com/numpy/numpy.git numpy

Build NumPy (within the numpy folder):

python3 setup.py build --fcompiler=gnu95

Install SciPy (within the scipy folder):

python3 setup.py install

Prerequisite:

sudo apt-get install build-essential gfortran libatlas-base-dev python-pip python-dev
sudo pip install --upgrade pip

Actual packages:

sudo pip install numpy
sudo pip install scipy

Optional packages:

sudo pip install matplotlib   OR  sudo apt-get install python-matplotlib
sudo pip install -U scikit-learn
sudo pip install pandas

src

I tried all the above and nothing worked for me. This solved all my problems:

pip install -U numpy

pip install -U scipy

Note that the -U option to pip install requests that the package be upgraded. Without it, if the package is already installed pip will inform you of this and exit without doing anything.

For the Arch Linux users:

pip install --user scipy prerequisites the following Arch packages to be installed:

• gcc-fortran
• blas
• lapack

On Fedora, this works:

sudo yum install -y python-pip
sudo yum install -y lapack lapack-devel blas blas-devel 
sudo yum install -y blas-static lapack-static
sudo pip install numpy
sudo pip install scipy

If you get any public key errors while downloading, add --nogpgcheck as parameter to yum, for example:
yum --nogpgcheck install blas-devel

On Fedora 23 onwards, use dnf instead of yum.

In my case, it wasn’t working until I also installed the following package : libatlas-base-dev, gfortran

 sudo apt-get install libatlas-base-dev gfortran

Then run pip install scipy

To install scipy on windows follow these instructions:-

Step-1 : Press this link http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy to download a scipy .whl file (e.g. scipy-0.17.0-cp34-none-win_amd64.whl).

Step-2: Go to the directory where that download file is there from the command prompt (cd folder-name ).

Step-3: Run this command:

pip install scipy-0.17.0-cp27-none-win_amd64.whl

For gentoo, it’s in the main repository:
emerge --ask scipy

1. install python-3.4.4
2. scipy-0.15.1-win32-superpack-python3.4
3. apply the following commend doc

py -m pip install --upgrade pip
py -m pip install numpy
py -m pip install matplotlib
py -m pip install scipy
py -m pip install scikit-learn

Besides all of these answers,
If you install python of 32bit on your 64bit machine, you have to download scipy of 32-bit irrespective of your machine.
http://www.lfd.uci.edu/~gohlke/pythonlibs/
In the above URL you can download the packages and command is: pip install

The answer is yes, there is.

First you can easily install numpy use commands:

pip install numpy

Then you should install mkl, which is required by Scipy, and you can download it here

After download the file_name.whl you install it

C:Users****Desktopa> pip install mkl_service-1.1.2-cp35-cp35m-win32.whl
Processing c:users****desktopamkl_service-1.1.2-cp35-cp35m-win32.whl 
Installing collected packages: mkl-service    
Successfully installed mkl-service-1.1.2

Then at the same website you can download scipy-0.18.1-cp35-cp35m-win32.whl

Note:You should download the file_name.whl according to you python version, if you python version is 32bit python3.5 you should download this one, and the “win32” is about your python version, not your operating system version.

Then install file_name.whl like this:

C:Users****Desktopa>pip install scipy-0.18.1-cp35-cp35m-win32.whl
Processing c:users****desktopascipy-0.18.1-cp35-cp35m-win32.whl
Installing collected packages: scipy
Successfully installed scipy-0.18.1

Then there is only one more thing to do: comment out a specfic line or there will be error messages when you imput command “import scipy”.

So comment out this line

from numpy._distributor_init import NUMPY_MKL  # requires numpy+mkl

in this file: your_own_pathlibsite-packagesscipy__init__.py

Then you can use SciPy 🙂

Here tells you more about the last step.

Here is a similar anwser to a similar question.

You can also use this in windows with python 3.6 python -m pip install scipy