Highly recommended." — The Times (London) Educational Supplement "It will delight both young and old." — The American Mathematical Monthly "A truly lively and unusual, not to mention precise, textbook." — New York Public Library "The calculus book looks great. There has never been anything like it." — Martin Gardner, longtime author of the "Mathematical Games" column for Scientific American Filled with humorous illustrations as well as lively and absorbing mathematical learning, this calculus comic book requires only a familiarity with high school algebra and a sense of humor. Prof. E. McSquared introduces each concept in differential calculus in the form of a memorable character and helps readers develop their intuitive powers. A lifesaver for struggling students and a treat for the mathematically minded, the book includes helpful exercises and complete solutions.

The first calculus comic book, this unique primer requires only a familiarity with high school algebra and a sense of humor. "Highly recommended." — The Times (London) Educational Supplement. 1989 edition.

Cathy Duffy draws upon her many years of home education experience, both in teaching and researching curriculum, to bring us the most thorough and useful book available on teaching teenagers at home.

"Published by OpenStax College, Calculus is designed for the typical two- or three-semester general calculus course, incorporating innovative features to enhance student learning. The book guides students through the core concepts of calculus and helps them understand how those concepts apply to their lives and the world around them. Due to the comprehensive nature of the material, we are offering the book in three volumes for flexibility and efficiency. Volume 2 covers integration, differential equations, sequences and series, and parametric equations and polar coordinates."--BC Campus website.

A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015