Windows Scipy Install No Lapack Blas Resources Found

Question

I am trying to install python and a series of packages onto a 64bit windows 7 desktop  I have installed Python 3 4  have Microsoft Visual Studio C   installed  and have successfully installed numpy  pandas and a few others  I am getting the following error when trying to install scipy   numpy distutils system info NotFoundError  no lapack blas resources found   I am using pip install offline  the install command I am using is   pip install --no-index --find-links  S  python scipy 0 15 0  scipy   I have read the posts on here about requiring a compiler which if I understand correctly is the VS C   compiler  I am using the 2010 version as I am using Python 3 4  This has worked for other packages   Do I have to use the window binary or is there a way I can get pip install to work   Many thanks for the help

User · Answer

For python27 1 Install numpy   mkl download link http   www lfd uci edu  gohlke pythonlibs   2 install scipy  the same site  OK

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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

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The solution to the absence of BLAS LAPACK libraries for SciPy installations on Windows 7 64-bit is described here   http   www scipy org scipylib building windows html  Installing Anaconda is much easier  but you still don t get Intel MKL or GPU support without paying for it  they are in the MKL Optimizations and Accelerate add-ons for Anaconda - I m not sure if they use PLASMA and MAGMA either   With MKL optimization  numpy has outperformed IDL on large matrix computations by 10-fold  MATLAB uses the Intel MKL library internally and supports GPU computing  so one might as well use that for the price if they re a student   50 for MATLAB    10 for the Parallel Computing Toolbox   If you get the free trial of Intel Parallel Studio  it comes with the MKL library  as well as C   and FORTRAN compilers that will come in handy if you want to install BLAS and LAPACK from MKL or ATLAS on Windows   http   icl cs utk edu lapack-for-windows lapack   Parallel Studio also comes with the Intel MPI library  useful for cluster computing applications and their latest Xeon processsors  While the process of building BLAS and LAPACK with MKL optimization is not trivial  the benefits of doing so for Python and R are quite large  as described in this Intel webinar   https   software intel com en-us articles powered-by-mkl-accelerating-numpy-and-scipy-performance-with-intel-mkl-python  Anaconda and Enthought have built businesses out of making this functionality and a few other things easier to deploy  However  it is freely available to those willing to do a little work  and a little learning    For those who use R  you can now get MKL optimized BLAS and LAPACK for free with R Open from Revolution Analytics   EDIT  Anaconda Python now ships with MKL optimization  as well as support for a number of other Intel library optimizations through the Intel Python distribution  However  GPU support for Anaconda in the Accelerate library  formerly known as NumbaPro  is still over  10k USD  The best alternatives for that are probably PyCUDA and scikit-cuda  as copperhead  essentially a free version of Anaconda Accelerate  unfortunately ceased development five years ago  It can be found here if anybody wants to pick up where they left off

User · Answer

Sorry to necro  but this is the first google search result  This is the solution that worked for me    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 Open command prompt and navigate to the folder where you downloaded the wheel  Run the command  pip install  file name of wheel  Download the SciPy wheel from  http   www lfd uci edu  gohlke pythonlibs  scipy  similar to the step above   As above  pip install  file name of wheel

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Simple and Fast Installation of Scipy in Windows   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   Open cmd inside the directory containing the downloaded Scipy package  Type pip install  lt  lt your-scipy-package-name gt  gt   e g  pip install scipy-0 19 1-cp35-cp35m-win amd64 whl

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My 5  cents  You can just install the entire  pre-compiled  SciPy from  https   github com scipy scipy releases  Good Luck

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This was the order I got everything working  The second point is the most important one  Scipy needs Numpy MKL  not just vanilla Numpy    Install python 3 5 pip install  file path   download Numpy MKL wheel from here http   www lfd uci edu  gohlke pythonlibs  numpy  pip install scipy

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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

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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

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I was also getting same error while installing scikit-fuzzy  I resolved error as follows    Install Numpy  a whl file Install Scipy  again a whl file   choose file according to python version like amd64 for python3 and other win32 file for the python27    then pip install --user skfuzzy   I hope  It will work for you

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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    Install Visual Studio 2015 2013 with Python Tools  Is integrated into the setup options on install of 2015  Install Visual Studio C   Compiler for Python Source  http   www microsoft com en-us download details aspx id 44266 File Name  VCForPython27 msi Install Python Version of choice Source  python org File Name  e g    python-2 7 10 amd64 msi

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

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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

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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  quot numpy mkl quot  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    lt path to python executable gt  -m pip install  lt X gt    instead of  pip install  lt X gt   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- lt x gt  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- lt x gt  whl   You can check the wheels in pip available for numpy here

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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

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My python s version is 2 7 10  64-bits Windows 7    Download scipy-0 18 0-cp27-cp27m-win amd64 whl from http   www lfd uci edu  gohlke pythonlibs  scipy Open cmd 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

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Solutions    As specified in many answers  download NumPy and SciPy whl from http   www lfd uci edu  gohlke pythonlibs  and install with   pip install  lt whl location gt   Building BLAS LAPACK from source Using Miniconda    Refer     ScikitLearn Installation Easiest way to install BLAS and LAPACK for scipy

[python] Windows Scipy Install: No Lapack/Blas Resources Found

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