# My Favorite Textbooks

21 Sep 2017reading time: 2 mins

I find most textbooks to be basically unreadable. Worse still, when I google “best X textbook”, I frequently land on a “classic” textbook that feels like it was written by a fucking reptiloid for people with an entirely different from mine intelligence architecture. I hate formalism. I hate long mechanical derivations. I love thinking in pictures. I love intuitive, explainlikeim5 explanations. I believe that examples should precede definitions, not follow them. Finally, I have big troubles with working memory, which might explain most of the preceding stuff.

Thus, a list of my favorite textbooks/educational materials; all of them are either free or available on libgen.

**List so far**: linear algebra, calculus, multivariable calculus, topology, computation theory, microeconomics, macroeconomics, econometrics.

(if you feel that your learning style is similar to mine, do share your own favorite texts/materials not on this list!)

### Linear algebra

*Lecture notes* by Vipul Naik. Note: these notes are targeted at social science majors; all Vipul’s course materials, including quizzes and answers to them are here.

### Calculus

*Calculus* by Michael Spivak. Note: you absolutely need somebody to guide you/help with the problems from the book. The Correct™ way to self-study books like this is to email a professor at a local college and ask them if they could help you with stuff you don’t understand and problems (hint: they will be happy to help).

### Multivariable calculus

*Matec Notes* by Alexey Guzey. Note: once I was so angry at the course’s main textbook that I wrote my own set of lecture notes for it; naturally, it has an econ taste to it.

*Lecture notes* by Vipul Naik. Note: these notes are targeted at social science majors; all Vipul’s course materials, including quizzes and answers to them are here.

### Topology

*Topology Without Tears* by Sidney A. Morris.

### Algorithms

Algorithms by Tim Roughgarden. Note: this is a MOOC, not a textbook. But too good not to be included

### Computation Theory

*Introduction to the Theory of Computation* by Michael Sipser. Note: this book was the basis for the Algorithms-2 course I took at the university.

### Microeconomics

*Intermediate Microeconomics: A Modern Approach* by Hal Varian.

### Macroeconomics

*Macroeconomics* by Olivier Blanchard.

### Econometrics

*Introduction to Econometrics* by Christopher Dougherty. Note: lmk if you need solutions for it.

Feel free to share your thoughts on this post with me!