[python] How do I install SciPy on 64 bit Windows?

How do I install SciPy on my system?

For the NumPy part (that SciPy depends on) there is actually an installer for 64 bit Windows: numpy-1.3.0.win-amd64-py2.6.msi (is direct download URL, 2310144 bytes).

Running the SciPy superpack installer results in this message in a dialog box:

Cannot install. Python version 2.6 required, which was not found in the registry.

I already have Python 2.6.2 installed (and a working Django installation in it), but I don't know about any Registry story.

The registry entries seem to already exist:

REGEDIT4

[HKEY_LOCAL_MACHINE\SOFTWARE\Python]

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore]

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore\2.6]

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore\2.6\Help]

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore\2.6\Help\Main Python Documentation]
@="D:\\Python262\\Doc\\python262.chm"

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore\2.6\InstallPath]
@="D:\\Python262\\"

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore\2.6\InstallPath\InstallGroup]
@="Python 2.6"

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore\2.6\Modules]

[HKEY_LOCAL_MACHINE\SOFTWARE\Python\PythonCore\2.6\PythonPath]
@="D:\\Python262\\Lib;D:\\Python262\\DLLs;D:\\Python262\\Lib\\lib-tk"

What I have done so far:

Step 1

Downloaded the NumPy superpack installer numpy-1.3.0rc2-win32-superpack-python2.6.exe (direct download URL, 4782592 bytes). Running this installer resulted in the same message, "Cannot install. Python version 2.6 required, which was not found in the registry.". Update: there is actually an installer for NumPy that works - see beginning of the question.

Step 2

Tried to install NumPy in another way. Downloaded the zip package numpy-1.3.0rc2.zip (direct download URL, 2404011 bytes), extracted the zip file in a normal way to a temporary directory, D:\temp7\numpy-1.3.0rc2 (where setup.py and README.txt is). I then opened a command line window and:

d:
cd D:\temp7\numpy-1.3.0rc2
setup.py install

This ran for a long time and also included use of cl.exe (part of Visual Studio). Here is a nearly 5000 lines long transcript (230 KB).

This seemed to work. I can now do this in Python:

import numpy as np
np.random.random(10)

with this result:

array([ 0.35667511,  0.56099423,  0.38423629,  0.09733172,  0.81560421,
        0.18813222,  0.10566666,  0.84968066,  0.79472597,  0.30997724])

Step 3

Downloaded the SciPy superpack installer, scipy-0.7.1rc3- win32-superpack-python2.6.exe (direct download URL, 45597175 bytes). Running this installer resulted in the message listed in the beginning

Step 4

Tried to install SciPy in another way. Downloaded the zip package scipy-0.7.1rc3.zip (direct download URL, 5506562 bytes), extracted the zip file in a normal way to a temporary directory, D:\temp7\scipy-0.7.1 (where setup.py and README.txt is). I then opened a command line window and:

d:
cd D:\temp7\scipy-0.7.1
setup.py install

This did not achieve much - here is a transcript (about 95 lines).

And it fails:

>>> import scipy as sp2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: No module named scipy

Platform: Python 2.6.2 installed in directory D:\Python262, Windows XP 64 bit SP2, 8 GB RAM, Visual Studio 2008 Professional Edition installed.

The startup screen of the installed Python is:

Python 2.6.2 (r262:71605, Apr 14 2009, 22:46:50) [MSC v.1500 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>

Value of PATH, result from SET in a command line window:

Path=D:\Perl64\site\bin;D:\Perl64\bin;C:\Program Files (x86)\PC Connectivity Solution\;D:\Perl\site\bin;D:\Perl\bin;C:\WINDOWS\system32;C:\WINDOWS;C:\WINDOWS\System32\Wbem;C:\Program Files (x86)\ATI Technologies\ATI.ACE\Core-Static;d:\Program Files (x86)\WinSCP\;D:\MassLynx\;D:\Program Files (x86)\Analyst\bin;d:\Python262;d:\Python262\Scripts;D:\Program Files (x86)\TortoiseSVN\bin;D:\Program Files\TortoiseSVN\bin;C:\WINDOWS\system32\WindowsPowerShell\v1.0;D:\Program Files (x86)\IDM Computer Solutions\UltraEdit\

Another alternative: http://www.pythonxy.com/

Free and includes lots of stuff meant to work together smoothly.

This person says

Did you try linux.pythonxy ? ( http://linux.pythonxy.com ).

It's 64 bit ready ...

Though I'm not quite sure what that means.

Update:

This appears to be dead. I use Anaconda now, which has 32-bit or 64-bit installers.

I was getting this same error on a 32-bit machine. I fixed it by registering my Python installation, using the script at:

http://effbot.org/zone/python-register.htm

It's possible that the script would also make the 64-bit superpack installers work.

You can either download a scientific Python distribution. One of the ones mentioned here: https://scipy.org/install.html

Or pip install from a whl file here if the above is not an option for you.

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

Okay a lot has been said, but just in case nothing of the previous answers work, you can try;

https://www.scipy.org/install.html

According to them;

For most users, especially on Windows, the easiest way to install the packages of the SciPy stack is to download one of these Python distributions, which include all the key packages:

• Anacond: A free distribution for the SciPy stack. Supports Linux, Windows and Mac.
• Enthought Canopy: The free and commercial versions include the core SciPy stack packages. Supports Linux, Windows and Mac.
• Python(x,y) A free distribution including the SciPy stack, based around the Spyder IDE. Windows only.
• WinPython: A free distribution including the SciPy stack. Windows only.
• Pyzo: A free distribution based on Anaconda and the IEP interactive development environment. Supports Linux, Windows and Mac.

Still for me, Anaconda did solve this problem. Do remember to check the bit (32/64 bit) version before downloading and re-adjust your compiler to the Python implementation installed with the Python distribution you are installing.

Unofficial 64-bit installers for NumPy and SciPy are available at http://www.lfd.uci.edu/~gohlke/pythonlibs/

Make sure that you download & install the packages (aka. wheels) that match your CPython version and bitness (ie. cp35 = Python v3.5; win_amd64 = x86_64).

You'll want to install NumPy first; From a CMD prompt with administrator privileges for a system-wide (aka. Program Files) install:

C:\>pip install numpy-<version>+mkl-cp<ver-spec>-cp<ver-spec>m-<cpu-build>.whl

Or include the --user flag to install to the current user's application folder (Typically %APPDATA%\Python on Windows) from a non-admin CMD prompt:

C:\>pip install --user numpy-<version>+mkl-cp<ver-spec>-cp<ver-spec>m-<cpu-build>.whl

Then do the same for SciPy:

C:\>pip install [--user] scipy-<version>-cp<ver-spec>-cp<ver-spec>m-<cpu-build>.whl

Don't forget to replace <version>, <ver-spec>, and <cpu-build> appropriately if you copy & paste any of these examples. And also that you must use the numpy & scipy packages from the ifd.uci.edu link above (or else you will get errors if you try to mix & match incompatible packages -- uninstall any conflicting packages first [ie. pip list]).

As the transcript for SciPy told you, SciPy isn't really supposed to work on Win64:

Warning: Windows 64 bits support is experimental, and only available for
testing. You are advised not to use it for production.

So I would suggest to install the 32-bit version of Python, and stop attempting to build SciPy yourself. If you still want to try anyway, you first need to compile BLAS and LAPACK, as PiotrLegnica says. See the transcript for the places where it was looking for compiled versions of these libraries.

I found this solution after days.

Firstly, which Python version you want to install?

If you want for Python 2.7 version:

STEP 1:

scipy-0.19.0-cp27-cp27m-win32.whl

scipy-0.19.0-cp27-cp27m-win_amd64.whl

numpy-1.11.3+mkl-cp27-cp27m-win32.whl

numpy-1.11.3+mkl-cp27-cp27m-win_amd64.whl

If you want for Python 3.4 version:

scipy-0.19.0-cp34-cp34m-win32.whl

scipy-0.19.0-cp34-cp34m-win_amd64.whl

numpy-1.11.3+mkl-cp34-cp34m-win32.whl

numpy-1.11.3+mkl-cp34-cp34m-win_amd64.whl

If you want for Python 3.5 version:

scipy-0.19.0-cp35-cp35m-win32.whl

scipy-0.19.0-cp35-cp35m-win_amd64.whl

numpy-1.11.3+mkl-cp35-cp35m-win32.whl

numpy-1.11.3+mkl-cp35-cp35m-win_amd64.whl

If you want for Python 3.6 version:

scipy-0.19.0-cp36-cp36m-win32.whl

scipy-0.19.0-cp36-cp36m-win_amd64.whl

numpy-1.11.3+mkl-cp36-cp36m-win32.whl

numpy-1.11.3+mkl-cp36-cp36m-win_amd64.whl

Link: click

Once finishing installation, go to your directory.

For example, my directory:

cd C:\Users\asus\AppData\Local\Programs\Python\Python35\Scripts>
pip install [where/is/your/downloaded/scipy_whl.]

STEP 2:

NumPy + MKL

From same web site based on the Python version again:

After that use same thing again in the script folder:

cd C:\Users\asus\AppData\Local\Programs\Python\Python35\Scripts>

pip3 install [where/is/your/downloaded/numpy_whl.]

And test it in the Python folder.

Python35>python
Python 3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import scipy

Okey, here I am going to share what I have done to install SciPy on my Windows PC without the command line.

My PC configuration is Windows 7 64-bit and Python 2.7

• First I download the required packages form http://www.lfd.uci.edu/~gohlke/pythonlibs/ (which version match your configuration EX: cp27==>python2.7 & cp35==>3.5)
• Second I extract the file using 7-Zip (also can be used any zipper like WinRAR)
• Third I copy the scipy folder which I extracted and paste it into C:\Python27\Lib\site-packages (or put it where the exact location is in your PC like ..\..\Lib\site-packages)

NOTE: You have to install NumPy first before installing SciPy in this same way.

Install a Python distribution, http://www.python.org/download/.

Download and install the Anaconda Python distribution.

Make the Anaconda Python distribution link to Python 3.3 if you want NumPy, SciPy or Matplotlib to work in Python 3.3, or just use it like that to have only Python 2.7 and older functionality.

The blog post Anaconda Python Distribution Python 3.3 linking provides more detail about Anaconda.

Try to install Python 2.6.3 over your 2.6.2 (this should also add correct Registry entry), or to register your existing installation using this script. Installer should work after that.

Building SciPy requires a Fortran compiler and libraries - BLAS and LAPACK.

Short answer: Windows 64 bit support is still work in progress at this time. The superpack will certainly not work on a 64-bits Python (but it should work fine on a 32 bits Python, even on Windows 64 bit).

The main issue with Windows 64 bit is that building with mingw-w64 is not stable at this point: it may be our's (NumPy developers) fault, Python's fault or mingw-w64. Most likely a combination of all those :). So you have to use proprietary compilers: anything other than the Microsoft compiler crashes NumPy randomly; for the Fortran compiler, ifort is the one to use. As of today, both NumPy and SciPy source code can be compiled with Visual Studio 2008 and ifort (all tests passing), but building it is still quite a pain, and not well supported by the NumPy build infrastructure.

For completeness: Enthought has a Python distribution which includes SciPy; however, it's not free. Caveat: I've never used it.

Update: This answer had been long forgotten until an upvote brought me back to it. At this time, I'll second endolith's suggestion of Anaconda, which is free.

I have a 32-bit Python 3.5 on a 64-bit Windows 8.1 machine. I just tried almost every way I can find on Stack Overflow and no one works!

Then on here I found it. It says:

SciPy is software for mathematics, science, and engineering.

Requires numpy+mkl.

Install numpy+mkl before installing scipy.

mkl matters!! But nobody said anything about that before!

Then I installed mkl:

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

Then I installed SciPy:

C:\Users\****\Desktop\a>pip install scipy-0.18.1-cp35-cp35m-win32.whl
Processing c:\users\****\desktop\a\scipy-0.18.1-cp35-cp35m-win32.whl
Installing collected packages: scipy
Successfully installed scipy-0.18.1

It worked~ yeah :)

A tip: You can just google "whl_file_name.whl" to know where to download it~ :)

Update:

After all these steps you will find that you still can not use SciPy in Python 3. If you print "import scipy" you will find there are error messages, but don't worry, there is only one more thing to do. Here ——just comment out that line, simple and useful.

from numpy._distributor_init import NUMPY_MKL

I promise that it is the last thing to do :)

PS: Before all these steps, you better install NumPy first. That's very simple using this command:

pip install numpy

WinPython is an open-source distribution that has 64-bit NumPy and SciPy.

It is terrible to install such Python data science packages independently on Windows. Try Anaconda (one installer, 400 more Python packages, py2 & py3 support). Anaconda really helps me a lot!