Library
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
Rome Sweet Home - Scott & Kimberly Hahn
The Confessions - St. Agustine
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
How the Catholic Church Built Western Civilization - Thomas E Woods Jr. PhD.
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
A refutation of Moral Relativism - Peter Kreeft