Csound CSD Preprocessor
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csd Csound csd preprocessor By Jacob Joaquin email@example.com http://www.codehop.com copyright (c) Jacob Joaquin 2009 Mission Statement ----------------- *"Enable users to process and generate Csound orchestras and scores quickly, easily and efficiently."* Download CSD ------------ ZIP: https://github.com/jacobjoaquin/csd/zipball/master TAR Ball: https://github.com/jacobjoaquin/csd/tarball/master Clone from Github: $ git clone git://github.com/jacobjoaquin/csd.git Quick Installation Instructions ------------------------------- In a terminal window, cd to the csd folder and type: python setup.py install On Linux, Unix, and OS X, you may need to sudo it: sudo python setup.py install About ----- CSD provides core functions for building python scripts that can process and generate Csound code. As of this moment, the focus is on score manipulation. CSD comes with many functions that can parse, pull, push information in and out of Csound scores. In the future, there are plans to provide equivalent functions for Csound orchestras. This package ships with a few demo scripts that can be of great use to anyone who writes Csound music the old fashion way, that is, with a text editor. The ``sco_align`` script will save you from repeatedly typing 'space-down-left' by aligning Csound scores auto-magically. If you need to run a dozen or more pfields through a function, ``pfunc`` lets your write your own function and choose which instruments and pfields to operate on with a single command-line in a terminal window. Or if you are organizing your pfields, and decided that amp would work better on pfield 4 and pitch on pfield 5, then ``swap_columns`` is just what you need. In order to use these demo scripts, you'll need to use a command-line terminal. However, using these scripts in applications may be possible in the future. If you are a developer of a Csound front-end, Csound based-app, or are just looking to extend the capabilities of your favorites text editor, let me know so we can start the process of figuring out our respective needs to make this happen. I'm open to any and all ideas from anyone. This package is currently still very early in the development cycle, though quickly approaching a beta release. The scripts have been tested primarily with Apple's Python 2.5.1.