• Title: An Introduction to Python Jupyter Notebooks for College Math Teachers
• Author(s) Paul Isihara, Claire Wagner, Peter Jantsch, and Thomas VanDrunen
• Publisher: Wheaton College (2024; eBook (Creative Commons Licensed)
• License(s): Creative Commons License (CC)
• Paperback: N/A
• eBook: HTML and PDF
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

This book is an introduction to the use of Python Jupyter Notebooks (JNBs) for college math teachers and their students. Each section of the book has been written in the form of a Jupyter Notebook and can be downloaded.

• N/A

• Amazon

• Python Programming
• Mathematics Education

• An Introduction to Python Jupyter Notebooks for College Math Teachers
• The Mirror Site (1) - PDF

• IPython Interactive Computing and Visualization Cookbook

  This book contains many ready-to-use, focused recipes for high-performance scientific computing and data analysis, from the latest IPython/Jupyter features to the most advanced tricks, to help you write better and faster code.

• Discrete Mathematics with SageMath: Learn Math with Software

  This book is intended to provide concise and complete instructions on how to use different SageMath functions to solve problems in Discrete Mathematics. The goal is to streamline the learning process, helping students focus more on mathematics.

• Python for Everybody: Exploring Data in Python 3

  This book is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.

• Automate the Boring Stuff with Python (Albert Sweigart)

  Learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You'll create Python programs that effortlessly perform useful and impressive feats of automation.

• Modeling and Simulation in Python (Allen B. Downey)

  This book is an introduction to physical modeling using a computational approach with Python. You will learn how to use Python to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; etc.

• Introduction to Scientific Programming with Python

  This book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, assuming little or no prior experience in programming.

• Programming for Computations - Python 3 Edition

  This book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context.

• Computational Physics with Python (Eric Ayars)

  This book provides an unusually broad survey of the topics of modern computational physics. Its philosophy is rooted in learning by doing, with new scientific materials as well as with the Python programming language.