This repository contain the resources for the PS4106 module running Fall 2024 at University of St Andrews. Instructor: Justin Ales.
Use the following URL or the button below to launch this in a cloud hosted jupyter notebook.
https://mybinder.org/v2/gh/j-ales/PS4106_2024_25/master
Helpful Resources for PS4106 Students
We will be using examples and excercises from various sources. These following
Python Data Science Handbook By Jake VanderPlas https://github.com/jakevdp/PythonDataScienceHandbook
Computational and Inferential Thinking: The Foundations of Data Science 2nd Edition by Ani Adhikari, John DeNero, David Wagner. https://inferentialthinking.com/chapters/intro.html
Principles and Techniques of Data Science By Sam Lau, Joey Gonzalez, and Deb Nolan. https://www.textbook.ds100.org/intro.html
- Python Crash Course (book)
- Learn Python the Hard Way
- Introduction to Python
- Python + Numpy tutorial
- Python 101 jupyter notebook
- Data to Viz - help determining what visualization is appropriate; with code examples
- Kaggle's learn
pandas
- for learningpandas
(interactive programming) - Python Data Science Handbook (book)
- Essential Cheat Sheets for Machine Learning and Deep Learning Engineers
- Python for Data Analysis(book)
- Learning Pandas