# A Concrete Introduction to Probability Using Python

DevFeed: [A Concrete Introduction to Probability Using Python](<https://devfeed.tech/articles/the-strength-in-numbers-theorem-40531.md>)

Original publisher: [Read original article](<http://nbviewer.ipython.org/url/norvig.com/ipython/Probability.ipynb>)

Published: 2016-04-27T00:00:00Z

Content type: tutorial

Language: en

Sources: [Peter Norvig](<https://devfeed.tech/sources/peter-norvig.md>)

Topics: [math](<https://devfeed.tech/topics/math.md>), [Python](<https://devfeed.tech/topics/python.md>)

Tags: [concepts](<https://devfeed.tech/tags/concepts.md>), [example](<https://devfeed.tech/tags/example.md>), [numbers](<https://devfeed.tech/tags/numbers.md>), [python](<https://devfeed.tech/tags/python.md>)

## AI overview

A tutorial notebook introduces probability theory through Python 3 implementations. It defines experiments, outcomes, sample spaces, events, and probability, then applies these concepts to a fair-die example and notes a second part on probability paradoxes.

## Source excerpt

Update to my probability notebook, adding the Central Limit Theorem, also known as the Strength in Numbers Theorem.