Resource

1. Julia
   Julia/Economics (https://juliaeconomics.com/)
   QuantEcon with Julia Codes (QuantEcon.jl)
   Kwon, Changhyun. 2021. Julia Programming for Operations Research.  (Author's website)

2.  Mata and Stata

Cameron, A. Colin., and Trivedi, Pravin K. 2010. Microeconometrics Using Stata.

Gould, William W. 2018. The Mata Book: A Book for Serious Programmers and Those Who Want to Be.

3.  Probability Theory

Corbae, Dean., Stinchcombe, Maxwell B., and Zeman, Juraj. 2009. An Introduction to Mathematical Analysis for Economic Theory and Econometrics.

Davidson, James. 1994. Stochastic Limit Theory: An Introduction for Econometricians.

Resnick, Sidney I. 2019. A Probability Path.

4.  Python

QuantEcon with Python Codes (QuantEcon.py)

사이토 고키. 2021. 밑바닥부터 시작하는 딥러닝(Deep Learning from Scratch)

5.  R

허명회. 2013. 통계계산