Projects
ArtificialEconomist.com Economoose.com YetiPredict.com
Notes
Logic, the natural numbers and computability Algebra Mathematical analysis Geometry
Classical mechanics Computer science and C Data structures and algorithms, and Lisp
Univariate probability Multivariate probability Univariate time series Multivariate time series Neural networks Statistics for specific domains
Physics Biology Engineering Electronics CPUs and the Von Neumann architecture
Unix Networks Single-node databases Graphics and audio Advanced computer architecture C++ and objects Java, garbage collection, process virtual machines and Kotlin System virtual machines and hardware emulation
Other C-family languages including Rust Other Lisp-family languages Functional languages Javascript and dynamic typing Python R Other languages
Windows Distributed computing Integrated Development Environments (IDEs)Reverse engineering
Decision and game theory General equilibrium Industrial organisation Money, banking and finance Microeconomics Macroeconomics Public choice History Epistemology and ontology Political science and philosophy

GitHub
LinkedIn

Python

Basic

Numbers, booleans and dynamic typing in Python

Lists, tuples and immutablility AND Lambda functions

Reference counting and del

Functions and more on dynamic typing

Garbage collection

Cont.

Unix shell integration

The Python interpreter

Multithreading and the Global Interpreter Lock (GIL)

Standard library

os, sys, subprocess

Reading and saving data with pickle, xml, csv

math, cmath, random, statistics

Standard library: Data types

linkedListsSetsQueueStackNodes

Standard library: Parallel processing and async

Implementations

cpython and pypy

Writing modules and libraries

Writing modules using python

Writing modules using c and cython

Basic scientific libraries

Other scientific libraries

Tensor libraries

tensorflow and keras

Other

Please select a chapter from the left.

Preface

This is a live document, and is full of gaps, mistakes, typos etc.