vnikov

clean-python

Source Code for 'Clean Python' by Sunil Kapil

pycon-cz-2019-workshop

The Data Trinity – Practical Numpy, Pandas and Matplotlib

truck-code

Collection of code for platooning a string of automated trucks via cooperative adaptive cruise control (CACC).

pycon-2018-tutorial

Using pandas for Better (and Worse) Data Science

Python-for-Everyday-Life

Python for Everyday Life, published by Packt

asyncio-recipes

Source Code for 'asyncio Recipes' by Mohamed Mustapha Tahrioui

pcc_2e

Online resources for Python Crash Course (Second Edition), from No Starch Press

LeetCode-1

LeetCode

pyob

Pythonic Objects

PySnooper

Never use print for debugging again

programming-with-data

Programming with Data: Python and Pandas 🐍📊🐍

ml-workshop-3-of-4

Advanced Machine Learning with Scikit-learn part I

ml-workshop-4-of-4

Advanced Machine Learning with Scikit-learn part II

ml-workshop-2-of-4

Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

PyconUS_2019-model-interpretability-tutorial

Content for the Model Interpretability Tutorial at Pycon US 2019

Exploratory-Data-Analysis-with-Pandas-and-Python-3.x

Exploratory Data Analysis with Pandas and Python 3.x, published by Packt

BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

Stats-Maths-with-Python

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

aiconf_ny_2019_pytorch

AI Conf New York 2019 PyTorch Tutorial

Leetcode-Python

Solve leetcode problems with Python

Practical_RL

A course in reinforcement learning in the wild

statrethinking_winter2019

Statistical Rethinking course at MPI-EVA from Dec 2018 through Feb 2019

example-code-2e

Example code for Fluent Python, 2nd edition

Tutorials

Tutorial notebooks for hands-on data science, following along with the course topics.

BAP

Bayesian Analysis with Python (Second Edition)

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

PyTorch-webinar

Machine Learning with PyTorch tutorials (for Pearson)

ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

code_snippets