Skip to content


NB: Links to external websites appear in a new Window or Tab, depending on your browser settings.

Pre-Python basics with UNIX

On OSX machines, the Unix* operating system is accessed via the Terminal program which  can be found in the Applications/Utilities folder.

Learning Python 

  • Dive Into Python  A little more in-depth, topic-oriented. Contains references to other related work, cookbooks etc.         
  • Python Cheat Sheets
  • CS for All A general reference for learning the basics of computer science, using python.

Project Development Tools

  • A Python Interactive Development Environment (IDE). For the sake of consistency and flexibility, we use
      •  PyCharm Community Edition. (Links to the downloadable for the Community Edition)
      • Spyder-IDE is nice and comes with an Ipython (interactive python) interface. I get confused by the detachable windows and find I use the return to default window setting (menu: View/Reset window layout) far too often 🙂 . I think it still comes with the Condo Python distribution.
      • Textwrangler for quick hacks. Now incorporated in BBEdit. Beware of OS version restrictions.
      • Vi / ViM for even quicker hacks. VIM is included in most UNIX OS including Apples OS-X.
  • vinta/awesome-pythonA curated list of awesome Python frameworks, libraries, software and resources. If you know what you're looking for, go to the awesome github repository.
  • Python packages for audio.
  • Supriya. A Python 3 API for Supercollider (watch this new development) 
  •   (sub-component of Python for Engineers, below)
  • Python for engineers Contains sub-component, Audio and DSP in Python

Which Python?

 Anaconda Python (overview) is my preference for scientific and sonification design work, because it:

  • Is easy to install and maintain. I'm using the Python 2.7 but slowly migrating code to 3.5.
  • Can be installed independent of any OS system python, including onto an external device.
  • The Distribution version is free, with an Enterprise version available. 
  • The Csound Python API can be build with it.
  • Contains over 1000+ packages, including Numpy and matplotlib as well as many data-oriented tools. Package List for various platforms.
  • Uses Conda for Package Package, dependency and environment management
  • Everything just works!