An Introduction to Python Jupyter Notebooks for College Math Teachers

This site is under construction and shows how the open source book content is being developed and structured as a Jupyter Book.

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
• 3. PYTHON PROGRAMMING GUIDE - Thomas VanDrunen, Yiheng Liang
• 4. EXPLORATORY DATA ANALYSIS - Wheaton College Team
• 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 - Ying Li, Jonathan Zhu, Claire Wagner
• 15. COMPLEX SYSTEMS - Wheaton College Team
• Index