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pycon_2015_bokeh_talk

pydata-chi-h2t

Materials for the pandas tutorial at PyData Chicago 2016

pydata-chicago-2016

Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentation/15/

pydata-sf-2016-arima-tutorial

PyData San Francisco 2016 - ARIMA Tutorial

pydata2015

pyflux

Open source time series library for Python

pyglmnet

Python implementation of elastic-net regularized generalized linear models

pylearn2

A Machine Learning library based on Theano

pylouvain

A Python implementation of the Louvain method to find communities in large networks

pymc

PyMC version 3 (PyMC 2 is in branch 2.3)

pymc-1

PyMC: Bayesian Stochastic Modelling in Python

pymc-marketing

Bayesian marketing toolbox in PyMC. Media Mix, CLV models and more.

pymc3_talk

Bayesian Analysis in PyMC3.

pymc3_vs_pystan

Personal project to compare hierarchical linear regression in PyMC3 and PyStan

pyspark-example-project

Example project implementing best practices for PySpark ETL jobs and applications.

pyspark-pictures

Learn the pyspark API through pictures and simple examples

pyspark.test

Example unit tests for Apache Spark Python scripts using the py.test framework

pytestfordatascience_pydatala

Pytest for Data Science Beginners

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

python-docs-samples

Code samples used on cloud.google.com

pytorch-examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

pytorch-tutorial

tutorial for researchers to learn deep learning with pytorch.

quantecon.notebooks

Jupyter notebooks contributed by QuantEcon developers, users and the community

quantitative_financial_risk_management_with_r

Learning O'reilly: Introduction to Quantitative Financial Risk Management with R

quinn

pyspark methods to enhance developer productivity 📣 👯 🎉

ray_tutorial

An introductory tutorial about leveraging Ray core features for distributed patterns.

recsys2021-tutorial

https://sites.google.com/cornell.edu/recsys2021tutorial

reducing-variance-ab-tests

Some notes on techniques for variance reduction to increase the power of A/B tests

reinforce

simple reinforcement learning in Python

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.