Textbooks¶
We’ll be using a few inexpensive or free paperback/electronic books that will cover different aspects of the course. They are all well worth owning. In addition to these free textbooks, we will be using numerous free web based resources.
Textbooks for Summer 2024¶
Python Data Science Handbook (Jake VanderPlas) (PDSH)¶
There is a free online edition at https://jakevdp.github.io/PythonDataScienceHandbook/.
You can also purchase a paperback copy from O’Reilly for ~$45
This is another newish book and is written by a scientist who has been a big contributor to the Python data science world. This books covers all the main essentials for doing data science work in Python including:
IPython and Jupyter notebooks - learn to use these effectively
numpy - the bedrock of data science libraries in Python
pandas - provides critical data structures and tools for data analysis
matplotlib - plotting and tool upon which some of the new plotting systems are build
scikit-learn - statistical/machine learning
There are also Jupyter notebooks that go along with each section of the textbook. These are really well done and will be resource for us as we explore a range of analytical techniques with Python. The notebooks are available from this GitHub site. Details on obtaining these notebooks are available the Setting up your analytical machine
A Whirlwind Tour of Python (Jake VanderPlas) (WToP)¶
One of JVP’s contributions is this very nice, concise, intro to programming in Python.
Data Analysis with Python (DAP) - Wes McKinney¶
The 3rd edition of this classic book is available as an open-access online textbook as of May 2022. The author was the original developer of pandas.
It has up to date coverage of numpy, pandas and Jupyter.
Reproducible and Trustworthy Workflows for Data Science (RTWDS)¶
Authors: Tiffany A. Timbers, Joel Ostblom, Florencia D’Andrea, Rodolfo Lourenzutti
This is a new set of course notes written entirely in Jupyter notebooks via the Jupyter Book project.
You can use it in a variety of ways:
clone the GitHub repo and get all the notebooks
download as pdf, markdown or notebook by using the Download arrow from the online site (by chapter)
