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    An Introduction to Python Jupyter Notebooks for College Math Teachers

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    Paul Isihara, Wheaton College

    Claire Wagner, Wheaton College

    Peter Jantsch, Wheaton College

    Thomas VanDrunen, Wheaton College

    Copyright Year:

    Publisher: Paul Isihara, Claire Wagner, Peter Jantsch, and Thomas VanDrunen

    Language: English

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    Attribution Attribution
    CC BY

    Table of Contents

    • Preface
    • Pre-College - Wheaton College Team
    • Python Programming Guide
    • Exploratory Data Analysis 
    • Probability
    • Statistical Inference
    • Applied Calculus for Daily life
    • Calculus
    • Linear Algebra
    • Line Algebra and Optimization for Data Analysis
    • Differential Equations
    • Differential Equations for the Benefit of Society
    • Complex Variables in Groundwater Modeling
    • Advanced Data Analysis
    • Complex Systems
    • Index

    Ancillary Material

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    About the Book

    This book is an introduction to the use of Python Jupyter Notebooks (JNBs) for college math teachers and their students. The book is an evolving work in progress, but we hope this 1st Edition may already be quite useful to a college math teacher who is interested to use Jupyter Notebooks in their courses. Each section of the book has been written in the form of a Jupyter Notebook and can be downloaded using the download button at the top menu bar. In some cases, additional data files or image files may need to be downloaded as well. All the files are available in the src folder of the github repository https://github.com/timothyprojectGiG/JB_Math_Textbook

    Each chapter contains a JNB lab with solutions. Experienced teachers can modify these labs and create new labs tailored to their courses. The chapters were written by different authors/authorship teams, and as such, vary in style. Each chapter essentially can be read independently of the others as long as one has the pre-requisite mathematical knowledge. Some effort has been made to standardize the chapter formats, and the index may help the reader find specific topics of interest. There is virtually no limit to what can be done with JNBs, and we hope this work serves as a useful starting point for teachers and students to enrich and enliven the study of mathematics using this tool.

    The JNBs used to create this book contain special markdown code which are needed to produce features such as indexing, referencing, and highlight boxes in the Jupyter Book. Some editing of a downloaded JNB may may make it more suitable for classroom use.

    About the Contributors

    Authors

    Paul Isihara, Wheaton College

    Claire Wagner, Wheaton College

    Peter Jantsch, Wheaton College

    Thomas VanDrunen, Wheaton College

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