Couldn't find libpython error

[mmagnuski]

I am getting the following error when trying to add PyCall:

julia> Pkg.add("PyCall")
INFO: Installing PyCall v1.0.3
INFO: Building PyCall
===============================[ ERROR: PyCall ]================================


Couldn't find libpython; check your PYTHON environment variable
while loading C:\Users\Ola\.julia\v0.3\PyCall\deps\build.jl, in expression start
ing on line 16

================================================================================


================================[ BUILD ERRORS ]================================


WARNING: PyCall had build errors.

 - packages with build errors remain installed in C:\Users\Ola\.julia\v0.3
 - build the package(s) and all dependencies with `Pkg.build("PyCall")`
 - build a single package by running its `deps/build.jl` script

================================================================================

INFO: Package database updated
INFO: METADATA is out-of-date - you may not have the latest version of PyCall
INFO: Use `Pkg.update()` to get the latest versions of your packages

I have Anaconda python distribution (but it is 32-bit, while my Julia is 64-bit, so the error may be related to #148 ), and its path is present in my Path environment variable. I did not set up the PYTHON environment variable as it seems to conflict with my standalone Psychopy (which stops working after I set PYTHON to point to Anaconda distribution).

[mmagnuski]

I forgot to add my versioninfo():

Julia Version 0.3.11
Commit 483dbf5* (2015-07-27 06:18 UTC)
Platform Info:
  System: Windows (x86_64-w64-mingw32)
  CPU: Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge)
  LAPACK: libopenblas
  LIBM: libopenlibm
  LLVM: libLLVM-3.3

[stevengj]

Seems like a dup of #148. 64-bit Julia cannot call 32-bit Python, so a failure is correct here.

[mmagnuski]

Ok, thanks, I'll check with 64-bit python.

[stevengj]

If you do Pkg.update() to PyCall 1.1.x, then you can just set ENV["PYTHON"]=""; Pkg.build("PyCall") and it will install its own private Miniconda distribution for you, in a way that won't interfere with your other Python installations.