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Python's Bright Future in Science

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Juan Nunez-Iglesias https://2016.pycon-au.org/schedule/200/view_talk Over the past five years, Python has skyrocketed in popularity in the scientific world, pushing out proprietary languages such as IDL and Matlab. This rise was powered by simple syntax and efficient numerical libraries. But many operations in Python are still slow, and upstart languages, such as Julia and Go, promise simplicity and speed. Can Python cement its place in scientific computing?

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