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\
Method 1: Using pip to install Scipy Package Step 1: Install the latest Python3 in MacOS. Step 2: Check if pip3 and python3 are correctly installed. Step 3: Upgrade your pip to avoid errors during installation. Step 4: Enter the following command to install Scipy using pip3.
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
]).
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.
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