PyData x PyYYC: Building an Intuition for Probability & Highly Performant IO

This is a special meetup, as we've joined forces with our compatriots at PyYYC for a joint meetup! We will have two talks, the PyData Probability Prerequisites and the PyYYC Highly Performant IO. Check out more PyYYC goodness at https://www.meetup.com/py-yyc/ for those interested in improving their programming and development skills.

Please note the time change to accommodate our friends at PyYYC.

PyData Talk:

In this introductory session, we will develop an intuition for some of the fundamental concepts of probability. This session is aimed at those with little to no exposure to probability and statistics who are interested in learning more about data science and statistics. It is also a prerequisite for our Bayesian Methods series.

We will develop intuitions for

• Stochastic (random) vs deterministic variables
• Independent, identically distributed random variables
• Marginal, joint, and conditional probability
• Expectation
• Bayes theorem

Experienced members of PyData can consider skipping this session, but are welcome to join to share their insights and mentorship. The content of the session will be shared as a notebook for future reference.

PyYYC Talk:

Peter Hunnisett:
Highly Performant IO