If you could nominate one formative, novel, or comprehensive textbook to survive into the future.
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
README.md

README.md

Awesome Textbooks

I asked several folks I respect their favorite textbook -- one which they thought was either formative, exemplary, novel, or that they might nominate to survive into the future. Here's a short list of responses:

Book Goodreads
Introduction to Algorithms by Charles E. Leiserson, Clifford Stein, Ron Rivest, and Thomas H. Cormen (nominated x5) 108986
Artificial Intelligence: A Modern Approach by Peter Norvig and Stuart J. Russell (nominated x3) 27543
Godel Escher Bach: An Eternal Golden Braid by Douglas R. Hofstadter (recommended 3x) pdf 24113
Calculus Made Easy: Being a Very Simplest Introduction to Those Beautiful Methods of Recknoning which are Generally Called by the Terrifying Names of the Differntial Calculus and the Integral Calculus Macmillan, 1914 818063
Autobiography of Ben Franklin 52309
The Feynman Lectures on Physics (Esp. Volume III) 5546
Organizational Theory by Kevin Carson 7076739
Structured Interpretation of Computer Programs (SICP) 43713
Euclid's Elements of Geometry 214441
Plutarch's Lives 415634
How to Solve It by George Pólya 192221
Biology by Campbell (nominated x2) 145806
The Art of Computer Programming (Volume I) by Donald Knuth 112247
Rules For The Direction Of The Mind by Descartes 318740
Linear Algebra Done Right by Axler 309768
Introduction to Linear Algebra by Gilbert Strang) 179700
Aristotle's Metaphysics 208036
Out of Control: The New Biology Of Machines, Social Systems, and the Economic World by Kevin Kelly 243725
De mulieribus claris (On Famous Women) (Translated) 229225
Trading and Exchanges by Harris (Draft) 1290158
A first course in probability by Ross 119377
Principles of Mathematical Analysis by Walter Rudin 292079
Convex Optimization by Boyd and Vandenberghe 148030
Machine Learning A Probabilistic Perspective By Kevin P. Murphy (intro) 15857489
Mining of Massive Datasets 12818088
Introduction to the Theory of Computation by Michael Sipser 400716
Process and Reality, An Essay in Cosmology by Alfred North Whitehead 851541
Körner on Fourier analysis 1822893
A Guide to the Subject-Object Interview: Its Administration and Interpretation
New Cinematographers by Alex Ballinger
Impro: Improvisation and the Theatre by Keith Johnstone
Topology Via Logic by Vickers Table of Contents
Social Psychology (Myers?)
Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman, Jennifer Hill
Fourier Analysis: An Introduction by Elias M. Stein & Rami Shakarchi
Vehicles Experiments in Synthetic Psychology
A Framework for Understanding Poverty 4th Edition by Ruby K. Payne
Nonlinear Dynamics And Chaos: With Applications To Physics by Steven Strogatz
Fundamental Neuroscience (Squire)
Schneier's Applied Cryptography
An Introduction to Analysis by Wade

Thanks Mark P Xu Neyer, Nick Sharp, Douglas Eck, Stephen Rhein, Joseph Perla, Shachaf Ben-Kiki, Malcolm Ocean, Erin Parker, Philip Saponaro, Adrian Perez, Johannes Otterbach, Virgil Griffith, Darshan Shankar, Liz Henry, Darshan Shankar, Jade Q Wang, Varun Srinivasan, Curtis Gagliardi, Joe Polastre, Zachary Ryan DeStefano, Bernat Fortet Unanue, Morgan Wildermuth, Sylvia Blackmore, Jessy Exum, Erik Rigtorp, Nima Khazaei, Andrew Gibiansky, et al.

Other Sources