books
This is a list of books that I have in my library, both digital and physical. I haven’t read all of them, and the ones on this list are not necessarily recommendations.
- Mastering Emacs - Mickey Petersen
- Bullshit Jobs - David Graeber
- Holy Bible RSV second Catholic Edition
- HTTPd Relayd Mastery - Michael W. Lucas
- Tasnap Mastery - Michael W. Lucas
- Physics for Scientist and Engineers - Serway Jewett
- All the Mathematics You Missed - Thomas A. Garrity
- Differential Equations for Engineers - Xie Wei Chau
- Engineering Mechanics Statics & Dynamics - R. C. Hibbeler
- Introduction to Linear Algebra - Gilbert Strang
- Mechanics of Material - Barry J. Goodno & James M. Gere
- Fundamentals of Engineering Thermodynamics - Michael J. Moran et al.
- Statistical Inference - George Casella & Roger L. Berger
- Business Process Change - Paul Harmon
- The Art of Unix Programming - Eric S. Raymond
- How to Prove it - Daniel J. Velleman
- Scheduling - Michael L. Pinedo
- Run Your Own Mail Server - Michael W. Lucas
- Probabilidad para Ingenieros - Ricardo Gatica
- The Great Leveler - Walter Scheidel
- How the World Became Rich - Mark Koyama & Jared Rubin
- Network Science - Ernesto Estrada et al.
- The Republic - Plato
- Modern Vim - Drew Neil
- Practical Vim - Drew Neil
- The Political Economy of Inequality - Frank Stilwell
- Zen and the Art of Motorcycle Maintenance - Robert M. Pirsig
- Beyond Good and Evil - Friedrich Nietzshe
- The Book of Why - Judea Pearl
- The Effect: An Introduction to Research Design and Causality - Nick Huntington-Klein
- Meditations - Marcus Aurelius
- Julia High Performance - Avik Sengupta
- The Goal - Eliyahu M. Goldratt
- The Toyota Way - Jeffrey K. Liker
- Factory Physics - Wallace J. Hopp & Mark L. Spearman
- The Wealth of Nations - Adam Smith
- Capitalism, Socialism & Democracy - Joseph A. Schumpeter
- Capital - Thomas Piketty
- Introduction to Operation Research - Hillier & Lieberman
- Simulation Modeling & Analysis - Averill M. Law
- Advanced Engineering Mathematics - Erwin Kreyzig
- Julia for Data Analysis - Bogumil Kaminski
- Structure and Interpretation of Computer Programs - Harold Abelson et al.
- Statistical Rethinking - Richard McElreath
- 1984 - George Orwell
- Why Information Grows - Cesar Hidalgo
- Los Detectives Salvajes - Roberto Bolaño
- Why we Sleep - Matthew Walker
- Por que Fracasan Los Paises - Daron Acemoglu & James A. Robinson
- The Art of Statistics - David Spiegelhalter
- Sapiens: De Animales a dioses - Yuval Noah Harari
- Never Split the Difference - Chris Voss & Tahl Raz
- Hands-on Machine Learning with Scikit-Learn, Keras & Tensorflow - Aurélien Géron
- SQL for Data Scientist - Renee M. P. Teate
- Feature Engineering for Machine Learning - Alice Zheng & Amanda Casari
- The Pragmatic Programmer - David Thomas & Andrew Hunt
- Practical Julia - Lee Phillips
- Deep Learning - Ian Goodfellow et al.
- The Algorithm Design Manual - Steven S. Skiena
- Handbook of Metaheuristics - Michel Gendreau & Jean-Yves Potvin
- Mathematics for Machine Learning - Russel & Norvig
- An Introduction to Statistical Learning - Gareth James et al
- Computer Systems: A Programmer Perspective - Randal E. Bryant & David R. O’Hallaron
- Leviatan - Thomas Hobbes