@InProceedings{Bjorndalen07,
  title =        "{P}y{CSP} - {C}ommunicating {S}equential {P}rocesses for {P}ython",
  author=        "Bjørndalen,  John Markus and Vinter,  Brian and Anshus,  Otto J.",
  editor=        "McEwan,  Alistair A. and Schneider,  Steve and Ifill,  Wilson and Welch, Peter H.",
  pages =        "229--248",
  booktitle=     "{C}ommunicating {P}rocess {A}rchitectures 2007",
  isbn=          "978-1-58603-767-3",
  year=          "2007",
  month=         "jul",
  abstract=      "The Python programming language is effective for rapidly
     specifying programs
and experimenting with them. It is
     increasingly being used in computational
sciences, and in
     teaching computer science. CSP is effective for describing
     concurrency. It has become especially relevant with the
     emergence of commodity multi-core architectures. We are
     interested in exploring how a combination of Python and CSP
     can benefit both the computational sciences and the hands-on
     teaching of distributed and parallel computing in computer
     science. To make this possible, we have developed PyCSP, a
     CSP library for Python. PyCSP presently supports the core
     CSP abstractions.
We introduce the PyCSP library, its
     implementation, a few performance benchmarks,
and show
     example code using PyCSP. An early prototype of PyCSP has
     been used
in this year\&\#8217;s Extreme
     Multiprogramming Class at the CS department, university
     of
Copenhagen with promising results."
}