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# Building Ice for Python on Linux and OS X

This page describes how to build and install Ice for Python from source code on Linux and OS X. If you prefer, you can also download [binary distributions](https://zeroc.com/download.html) for the supported platforms.

## Python Build Requirements

### Operating Systems and Compilers

Ice for Python is expected to build and run properly on OS X and any recent Linux distribution for x86 and x86_64, and was extensively tested using the operating systems and compiler versions listed for our [supported platforms](https://zeroc.com/platforms_3_6_0.html).

### Python Versions

Ice for Python supports Python versions 2.6, 2.7, 3.3 or 3.4. Note however that your Python installation must have been built with a C++ compiler that is compatible with the one used to build Ice for C++.

### Ice Development Kit

You will need the Ice development kit for C++, which you can install as a binary distribution or compile from source yourself.

## Building the Python Extension

Change to the Ice for Python source subdirectory:

    $ cd python

If you have not built Ice for C++ in the ```cpp``` subdirectory, set ```ICE_HOME``` to the directory of your Ice for C++ installation. For example:

    $ export ICE_HOME=/opt/Ice

Edit ```config/Make.rules```, modify the installation prefix (if necessary), and review the comments describing the ```PYTHON_VERSION``` variable.

Execute ```python -V``` to verify that the correct Python interpreter is in your executable search path.

Run ```make``` to build the extension.

Upon successful completion, run ```make install```. You may need additional user privileges to install in the directory specified by ```config/Make.rules```.

## Configuring your Environment for Python

Modify your ```PYTHONPATH``` environment variable to include the Ice extension for Python. For example, assuming you installed the extension in the directory ```/opt/Ice```, you would modify your environment as shown below:

    $ export PYTHONPATH=/opt/Ice/python:$PYTHONPATH

## Running the Python Tests

After a successful build, you can run the tests as follows:

    $ python allTests.py

If everything worked out, you should see lots of ```ok``` messages. In case of a failure, the tests abort with ```failed```.