The following link should solve all problems with Windows and SciPy; just choose the appropriate download. I was able to pip install the package with no problems. Every other solution I have tried gave me big headaches.

Source: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy

Command:

 pip install [Local File Location][Your specific file such as scipy-0.16.0-cp27-none-win_amd64.whl]

This assumes you have installed the following already:

1. Install Visual Studio 2015/2013 with Python Tools
   (Is integrated into the setup options on install of 2015)

2. Install Visual Studio C++ Compiler for Python
   Source: http://www.microsoft.com/en-us/download/details.aspx?id=44266
   File Name: VCForPython27.msi

3. Install Python Version of choice
   Source: python.org
   File Name (e.g.): python-2.7.10.amd64.msi

If you are working with Windows and Visual Studio 2015

• Install miniconda http://conda.pydata.org/miniconda.html
• Change your python environment to python 3.4 (32bit)
• click on python environment 3.4 and open cmd

Enter the following commands

• “conda install numpy”
• “conda install pandas”
• “conda install scipy”

My 5 cents; You can just install the entire (pre-compiled) SciPy from
https://github.com/scipy/scipy/releases

Good Luck!

This was the order I got everything working. The second point is the most important one. Scipy needs Numpy+MKL, not just vanilla Numpy.

1. Install python 3.5
2. pip install "file path" (download Numpy+MKL wheel from here http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)
3. pip install scipy

My python’s version is 2.7.10, 64-bits Windows 7.

1. Download scipy-0.18.0-cp27-cp27m-win_amd64.whl from http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy
2. Open cmd
3. Make sure scipy-0.18.0-cp27-cp27m-win_amd64.whl is in cmd‘s current directory, then type pip install scipy-0.18.0-cp27-cp27m-win_amd64.whl.

It will be successful installed.

Sorry to necro, but this is the first google search result. This is the solution that worked for me:

1. Download numpy+mkl wheel from
   http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy.
   Use the version that is the same as your python version (check using python -V). Eg. if your python is 3.5.2, download the wheel which shows cp35

2. Open command prompt and navigate to the folder where you downloaded the wheel. Run the command: pip install [file name of wheel]

3. Download the SciPy wheel from: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy (similar to the step above).

4. As above, pip install [file name of wheel]

Using resources at http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy will solve the problem. However, you should be careful about versions compatibility. After trying for several times, finally I decided to uninstall python and then installed a fresh version of python along with numpy and then installed scipy and this resolved my problem.

install intel’s distribution of python https://software.intel.com/en-us/intel-distribution-for-python

better of for distribution of python should contain them initially

For python27
1、Install numpy + mkl（download link:http://www.lfd.uci.edu/~gohlke/pythonlibs/）
2、install scipy (the same site)
OK!

Intel now provides a Python distribution for Linux / Windows / OS X for free called “Intel distribution for Python“.

Its a complete Python distribution (e.g. python.exe is included in the package) which includes some pre-installed modules compiled against Intel’s MKL (Math Kernel Library) and thus optimized for faster performance.

The distribution includes the modules NumPy, SciPy, scikit-learn, pandas, matplotlib, Numba, tbb, pyDAAL, Jupyter, and others. The drawback is a bit of lateness in upgrading to more recent versions of Python. For example as of today (1 May 2017) the distribution provides CPython 3.5 while the 3.6 version is already out. But if you don’t need the new features they should be perfectly fine.

Simple and Fast Installation of Scipy in Windows

1. From http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy download the
   correct Scipy package for your Python version (e.g. the correct
   package for python 3.5 and Windows x64 is scipy-0.19.1-cp35-cp35m-win_amd64.whl).
2. Open cmd inside the directory containing the downloaded Scipy
   package.
3. Type pip install <<your-scipy-package-name>> (e.g. pip install
   scipy-0.19.1-cp35-cp35m-win_amd64.whl).

I was also getting same error while installing scikit-fuzzy. I resolved error as follows:

1. Install Numpy, a whl file
2. Install Scipy, again a whl file

choose file according to python version like amd64 for python3 and other win32 file for the python27

3. then pip install --user skfuzzy

I hope, It will work for you

Solutions:

1. As specified in many answers, download NumPy and SciPy whl from http://www.lfd.uci.edu/~gohlke/pythonlibs/ and install with

   pip install <whl_location>
   

2. Building BLAS/LAPACK from source

3. Using Miniconda.

Refer:

1. ScikitLearn Installation
2. Easiest way to install BLAS and LAPACK for scipy?

do this, it solved for me
pip install -U scikit-learn

You probably just have too new (unsupported) Python 3.x installed.

This page has overcomplicated solutions to the problem. Most of numpy / scipy users should not need to compile their numpy installations or need to rely on 3rd party "numpy+mkl" wheels.

Downloading a compiler is an anti-pattern, you do not want to build
numpy, only use it. [github.com/numpy]

Solution

• Once you have installed supported python version, remove your non-working numpy installation with

pip uninstall numpy

and install scipy with

pip install scipy --only-binary numpy

• The --only-binary numpy will force installing binary wheel (.whl) version of numpy. If it fails, you have too new (not yet supported) version of python.

• If you have multiple python versions installed, you can ensure that pip is installing the python version you want by

<path_to_python_executable> -m pip install <X> 

instead of pip install <X>.

Why this is happening?

• Scipy relies on numpy, as can be seen from the setup.py or just by reading the pip install logs.
• If you have too new (non-supported) python installation, there are no built wheel (.whl) in the pip repository, but tarballs (.tar.gz), which in this case require the user machine to compile some C++-code during installation. See also: Python packaging: wheels vs tarball (tar.gz)

Appendix

• Check the https://pypi.org/project/numpy/ for list of supported Python versions. Currently (2020-11-04) the newest supported python version is Python 3.9. when using numpy 1.19.3 or above, and Python 3.8 for numpy 1.19.2. (For compatibility of older numpy versions, see numpy release notes)
• If you are on Windows and see pip trying to install numpy-<x>.tag.gz, you know it probably will not work. Try older version of Python, instead. You want to see pip to installing a binary wheel for numpy for Windows (numpy-<x>.whl). You can check the wheels in pip available for numpy here.

I got the same error trying to install scipy, having also installed Visual Studio C++, numpy, etc. My problem was that I’d just installed Python 3.9.

I removed version 3.9.0 and downgraded to version 3.8.6 and scipy installed without problems.