To install Chiplotle you must already have Python 2.5 or Python 2.6 installed in your computer.
Chiplotle requires NumPy and PySerial to be installed in you machine for it to work properly. The official release installer will attempt to install these for you. However, if you choose to download Chiplotle using Subversion to obtain the latest development version you will need to install these yourself. You can download NumPy and PySerial from their respective websites.
NumPy: http://numpy.scipy.org/
If you have the Python setuptools utility installed, simply type:
easy_install -U chiplotle
If you don’t have setuptools, follow these steps:
Download the latest release from http://pypi.python.org/pypi/Chiplotle.
Untar the downloaded file (e.g. tar xzvf Chiplotle-NNN.tar.gz, where NNN is the version number of the latest release).
Change into the directory created in step 2 (e.g. cd Chiplotle-NNN).
If you’re using Linux, Mac OS X or some other flavor of Unix, enter the command:
sudo python setup.py install
at the shell prompt. If you’re using Windows, start up a command shell with administrator privileges and run the command setup.py install.
These commands will install Chiplotle, as well as its dependencies, in your Python installation’s site-packages directory. Note that this requires a working internet connection.
If you’d like to be at the cutting edge of the Chiplotle development use the following alternative:
Install Subversion if you don’t have it already installed (enter svn help to verify this).
Check out Chiplotle’s trunck development like so:
svn co svn://music.columbia.edu/chiplotle/trunk/ chiplotle-trunk
Make the Python interpreter aware of Chiplotle. There are two ways to do this:
a. Make a symlink in your Python site-packages directory pointing to the chiplotle-trunk directory previously checked out via Subversion:
ln -s 'pwd'/chiplotle-trunk/chiplotle SITE-PACKAGES-DIR/chiplotle
where SITE-PACKAGES-DIR is the Python site-packages directory. In Linux this is usually in /usr/lib/Python2.x/site-packages.
b. Alternatively you can include the chiplotle-trunk directory in your PYTHONPATH environment variable.
Have your PATH environment variable point to the scripts folder. This will allow you to run Chiplotle and all its accompanying scripts from anywhere in your system.
Download and install NumPy and PySerial.