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
]).