GitHub - zurda/thinkStats2: Summaries & exercises from the book "Think Stats" in the form of a Python notebook

Summaries and exercises from 'Think Stats'

This repository is based on material from the book Think Stats (Second edition) by Allen B. Downey, available from greenteapress.com. You can find the original text and supporting code for the book here.

I found that working alongside the book with Jupyter notebook formatted files, helped deepen my understanding of the material and exercises.

The files titled 'chap01', 'chap2' [...] include summaries of the chapters.
The files titled 'chap01ex01', 'chap01ex01soln' [...] include exercises and solutions.
The 'data' folder includes the data files used in the examples and exercises.
The files with '.py' extention are taken from the original book's repository, and include modules used in the book.
The 'figs' folder includes figures and images that I used in the notebooks.

Start here: Chapter 1

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
data		data
figs		figs
.gitignore		.gitignore
README.md		README.md
chap01.ipynb		chap01.ipynb
chap01ex01.ipynb		chap01ex01.ipynb
chap01ex01soln.ipynb		chap01ex01soln.ipynb
chap01ex02.ipynb		chap01ex02.ipynb
chap01ex02soln.ipynb		chap01ex02soln.ipynb
chap01soln.py		chap01soln.py
chap02.ipynb		chap02.ipynb
chap02ex01.ipynb		chap02ex01.ipynb
chap02ex01soln.ipynb		chap02ex01soln.ipynb
chap02ex02.ipynb		chap02ex02.ipynb
chap02ex02soln.ipynb		chap02ex02soln.ipynb
chap03.ipynb		chap03.ipynb
chap03ex01.ipynb		chap03ex01.ipynb
chap03ex01soln.ipynb		chap03ex01soln.ipynb
chap03ex02.ipynb		chap03ex02.ipynb
chap03ex02soln.ipynb		chap03ex02soln.ipynb
chap03ex03.ipynb		chap03ex03.ipynb
chap03ex03soln.ipynb		chap03ex03soln.ipynb
chap03ex04.ipynb		chap03ex04.ipynb
chap03ex04soln.ipynb		chap03ex04soln.ipynb
chap04.ipynb		chap04.ipynb
chap04ex01.ipynb		chap04ex01.ipynb
chap04ex01soln.ipynb		chap04ex01soln.ipynb
first.py		first.py
nsfg.py		nsfg.py
relay.py		relay.py
thinkplot.py		thinkplot.py
thinkstats2.py		thinkstats2.py