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	Podcast:		Talk Python To Me - Python conversations for passionate developers
	Episode:		#103 Compiling Python through PyLLVM and MongoDB for Data Scientists
	Category:		Technology
	Duration:		00:52:36
	Publish Date:		2017-03-16 03:00:00
	Description:		This episode we have an optimization 2fer. We begin looking at optimizing a subset of Python code for machine learning using the LLVM compiler with a project called PyLLVM which takes plain python code, compiles it to optimized machine instructions and distributes it across a cluster. In the second half, we look at a fabulous new way to work with MongoDB for Python writing data scientists. The project is called bson-numpy and provides a direct connection between MongoDB and NumPy and is 10x faster than standard pymongo. Links from the show: Anna on Twitter: @annaisworking PyLLVM: github.com/aherlihy/PythonLLVM Wrestling Python into LLVM Intermediate Representation: youtube.com/watch?v=knL-c9WIru8 BSON-NumPy Docs: readthedocs.org/projects/bson-numpy BSON-NumPy Package: pypi.org/project/BSON-NumPy BSON-NumPy on GitHub: github.com/aherlihy/bson-numpy Sponsored items Our courses: training.talkpython.fm Hired: hired.com/talkpythontome Podcast's Patreon: patreon.com/mkennedy
	Total Play:		0