An Introduction to Python Jupyter Notebooks for College Math Teachers

Welcome to the online version of the 1st Edition of this Jupyter Book!

This is an open source project, and as such, we envision will undergo continual improvements.

We are making this book available in its current form in hope that it may prove to be beneficial to math teachers and students interested to use Jupyter Notebooks.

For more info on Jupyter Books please check out the Jupyter Book documentation.

The contents of this book appear below and in the sidebar.

• 1. PREFACE
• 2. PRE-COLLEGE - Wheaton College Team
• 3. PYTHON PROGRAMMING GUIDE - Thomas VanDrunen, Yiheng Liang
• 4. EXPLORATORY DATA ANALYSIS - Jonathan Zhu
• 5. PROBABILITY - Laura Gross, Yiheng Liang
• 6. STATISTICAL INFERENCE - Peter Jantsch, Claire Wagner
• 7. APPLIED CALCULUS FOR DAILY LIFE - Wheaton College Team
• 8. CALCULUS - Inne Singgih
• 9. LINEAR ALGEBRA - Soheil Anbouhi
• 10. LINEAR ALGEBRA AND OPTIMIZATION FOR DATA ANALYSIS - Wheaton College Team
• 11. DIFFERENTIAL EQUATIONS - Rachel Petrik
• 12. DIFFERENTIAL EQUATIONS FOR THE BENEFIT OF SOCIETY - Wheaton College Team
• 13. COMPLEX VARIABLES IN GROUNDWATER MODELING - Wheaton College Team
• 14. ADVANCED DATA ANALYSIS - Jonathan Zhu, Claire Wagner, Ying Li
• 15. COMPLEX SYSTEMS - Wheaton College Team
• Index