PyDataUK - May Talks

Stream Link: https://youtu.be/C1hqHk1SfrA

PyDataUK is a strictly professional event, as such professional behaviour is expected.

PyDataUK? You are right! The UK chapters of PyData have banded together to create some super talks during this lockdown period.

We welcome everyone with an interest in all things data, from beginners to seasoned pros, whether you work in journalism, eCommerce, physics, or anything in between. We're big fans of open source. Python, R, and Julia are staples, but Java, and JavaScript are welcome too.

https://pydata.org/code-of-conduct.html

PyData is an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html. Please take a moment to familiarise yourself with its contents.

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We always welcome audience contribution, tweet us questions or message us via Slack (tinyurl.com/pydatauk-slack / @PyDataMCR).

Plan:

• 18:00 - Intro slides
• Introduction to PyData Edinburgh & PyData Southampton
• 18:30 - TensorFlow Probability - Paige Bailey - @DynamicWebPaige
• 19:00 - "Making Pandas Fly" - Ian Ozsvald - @ianozsvald

Introduction to Tensorflow Probability - Paige Bailey
TensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware (TPU, GPU). It's for data scientists, statisticians, ML researchers, and practitioners who want to encode domain knowledge to understand data and make predictions. TFP includes:

Making Pandas Fly - Ian Ozsvald
Larger datasets can't fit into RAM - suddenly you can't use Pandas any more - but we need to analyse that data! First we'll review techniques to compress our data (maybe cutting our DataFrame RAM usage in half!) so we can process more rows using regular Pandas. Next we'll look at clever ways to make common operations run faster on DataFrames including dropping down to numpy and compiling with Numba. We may also review the new Modin accelerator.

This talk is inspired by Ian's work updating his O'Reilly book High Performance Python to the 2nd edition for 2020. Ian is the co-founder of the PyDataLondon meetup with over 11,000 members, he also teaches virtually on topics including Higher Performance Python and Software Engineering for Data Scientists with classes coming up in June 2020.

When:
May 5th 18:00-19:30

Where:
The Internet!
Join us on Slack
https://tinyurl.com/pydatauk-slack

SPONSORS
Thank you to NUMFocus for sponsoring Meetup and further support.