Look Who it Was Random video

Alex Glaser - Journeys through JuPyteR

597 views · Published 7 May 2017 · 28:56 · Indexed 27 October 2026

Channel: PyData · 2017 · Science & Technology

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Filmed at PyData London 2017

Description
There have been many talks about Jupyter notebooks but rather than concentrating on the notebook this talk will look at three data science languages available within it: Jula, Python and R. This talk will be aimed at beginner coders where we will write code in all three languages and discuss the differences between them.

Abstract
In the last few years notebooks have become de rigeur within data science, and the ability to mix & match different languages is one of many exciting elements within them. Using as a motto ‘find the best tool for the job’ we will take the Python code from Tariq Rashid’s book “Make your own Neural Network” and, using the MNIST data set, rewrite it in R and Julia. Of particular interest will be the idiosyncrasies that we see within each language as well as the readability and speed of each.

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