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One of the goals of PyPy is to make existing Python code faster, however an even broader goal was to make it possible to write things in Python that previous would needed to be written in C or other low-level language. This talk will show examples of this, and describe how they represent the tremendous progress PyPy has made, and what it means for people looking to use PyPy.
For many applications PyPy can provide performance benefits right out of the box. However, little details can push your application to perform much better. In this tutorial we'll give you insights on how to push pypy to it's limites. We'll focus on understanding the performance characteristics of PyPy, and learning the analysis tools in order to maximize your applications performance.