Think Stats is an introduction to Probability and Statistics for Python programmers.
Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.
If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.
The author maintains an online version at http://thinkstats2.com.
Why read this book? Have your say.
You must be logged in to comment.
Rights InformationAre you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.
- 451 - pdf (CC BY-NC-SA) at Internet Archive.
- Computer programs
- Study and teaching