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The Highs and Lows of a Python Data Stack

Many of you may have heard about NumPy, SciPy, and sklearn. Under the hood, a lot of smartness which can be attributed by many different projects, and languages.

We shall traverse the Python Data (aka PyData) stack, from high level wrapper with Jupyter notebook, down to the low level of optimization used in Numba to translate python into LLVM to allow native execution. It will let you make better use of Python as a numerical tool and preach more cool python to others.

About Boris Lau

Boris works at Mobify. He started his career as a malware reverse engineer, using Python as the interface to various reverse engineering tool. Now works in Mobify, he continue to use Python to make the world a better place.

He is also considering introducing the next PyData conferences to Vancouver - if you are interested in talking / helping out you should talk to him!