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  • About
  • Street-Fighting Math: Guessing & Opportunistic Problem Solving
  • Mathematical Surprises (Mordechai Ben-Ari)
  • Mathematical Omnibus: Thirty Lectures on Classic Mathematics
  • Fractal Geometry: Mathematical Foundations and Applications
  • Making up Numbers: A History of Invention in Mathematics
  • Mathematica® Programming: an Advanced Introduction
  • Algebra: A Classical Approach (Jon Blakely)
  • Algebra: A Computational Introduction (John Scherk) (2016)
  • A Computational Introduction to Number Theory and Algebra
  • Calculus (Gilbert Strang)
  • Measure, Integration and Real Analysis (Sheldon Axler)
  • Elementary Calculus (Michael Corral)
  • Real Variables with Basic Metric Space Topology (Robert B. Ash)
  • How We Got from There to Here: A Story of Real Analysis
  • An Invitation to Applied Category Theory: Seven Sketches
  • Topology: A Categorical Approach (Tai-Danae Bradley, et al)
  • Category Theory for Programmers (Bartosz Milewski)
  • Combinatorics Through Guided Discovery (Kenneth P. Bogart)
  • Applied Combinatorics (Mitchel T. Keller, et al)
  • Number Theory: In Context and Interactive, using SageMath
  • Elementary Number Theory using SageMath (William Stein)
  • Notes on Diffy Qs: Differential Equations for Engineers (Jiri Lebl)
  • Solving PDEs in Python: The FEniCS Tutorial I (H. Langtangen)
  • A Friendly Introduction to Differential Equations (M. Kaabar)
  • Elementary Differential Equations (William F. Trench)
  • A Cool Brisk Walk Through Discrete Mathematics (Stephen Davies)
  • Discrete Mathematics: An Open Introduction (Oscar Levin)
  • Mathematical Surprises (Mordechai Ben-Ari)
  • The Essence of Mathematics Through Elementary Problems
  • Mathematics of Economics and Business (Frank Werner, et al.)
  • Financial Mathematics: Concepts and Computational Methods
  • Financial Numerical Recipes in C++: Applications in Finance
  • Python 3 Patterns, Recipes and Idiom (2017)
  • Game Theory: An Open Access Textbook (Giacomo Bonanno)
  • Introduction to Game Theory: a Discovery Approach
  • Topology without Tears (Sidney A. Morris)
  • Computational Linear Algebra and N-dimensional Geometry
  • Algorithms in Real Algebraic Geometry (Saugata Basu, et al)
  • A Friendly Introduction to Mathematical Logic (Chris Leary)
  • Incompleteness and Computability: Gödel's Theorems
  • Gödel Without (Too Many) Tears (Peter Smith)
  • A Problem Course in Mathematical Logic (Stefan Bilaniuk)
  • Elementary Calculus: An Infinitesimal Approach (H. Jerome Keisler)
  • Music: A Mathematical Offering (David J. Benson)
  • Elementary Number Theory: Primes, Congruences, and Secrets
  • Number Theory: In Context and Interactive (Karl-Dieter Crisman)
  • Introduction to Probability for Data Science (Stanley Chan)
  • Introduction to Probability, Statistics, and Random Processes
  • Probability in Electrical Engineering and Computer Science
  • Introduction to Modern Statistics (Mine Çetinkaya-Rundel, et al.)
  • O'Reilly® Think Bayes: Bayesian Statistics in Python
  • Statistics Done Wrong: The Woefully Complete Guide (Reinhart)
  • An Introduction to Statistical Learning: with Applications in R
  • Graph Theory (Reinhard Diestel)
  • Graph Theory Lessons (Christopher P. Mawata)
  • Handbook of Applied Cryptography (Alfred J. Menezes, et al)
  • Modern Cryptography Volume 1: A Classical Introduction
  • Practical Cryptography for Developers (Svetlin Nakov)
  • The Joy of Cryptography (Mike Rosulek)
  • Tea Time Numerical Analysis: Experiences in Mathematics
  • Spectral Geometry of Partial Differential Operators
  • Spectral Geometry of Graphs (Pavel Kurasov)