🦜🔗 Build context-aware reasoning applications

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

This is a repo with links to everything you'd ever want to learn about data engineering

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Companion webpage to the book "Mathematics For Machine Learning"

Python training for business analysts and traders

Tutorials and programming exercises for learning Q# and quantum computing

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

A Haskell kernel for the Jupyter project.

This course is designed to teach non-engineers (e.g., self-taught/bootcamp coders) Haskell from zero to productive in an interactive, easy-to-follow way.

Jupyter adaptation of Learn You a Haskell for Great Good!

Movie plots by genre tutorial at PyData Berlin 2016

coursera

Codes for Introduction to Algorithms by Udi.Manber 算法引论-一种创造性方法课程代码

This course is designed to teach students Haskell from zero to everything needed to work with Marlowe and Plutus. The course itself doesn't contain content specific to Marlowe or Plutus. So, if you…