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Topic: This talk with involve a brief discussion of PyPy, a Python interpreter implemented in Python, followed by a longer discussion of the RPython toolchain which makes this implementation not only possible, but faster than the standard C-Python interpreter. The discussion of RPython will be illustrated using a simple interpreter implemented in Python, which is then translated to native code using the RPython toolchain.

Also, there will be Mandelbrot sets.

Bio: Tim has been using Python since way back at Python 0.9.3. He uses Python primarily to process and display numerical data and is very interested in ways of coaxing as much performance as possible from Python and its various numerical extensions.

Location: Either in Gangplank or in the Hiring Solved offices right next door. Look or ask around!