Notes on the Julia Language¶
This document collects what I have learned about the Julia language. Its main purpose is to document tips and tricks that are not covered in the official documentation.
Much of what is collected here is really just that: collected from other sources, which I try to cite where appropriate. Some of the material is a synthesis of material taken from various Discourse threads. In these cases, I may not always recall where I learned something. Apologies to Discourse contributors who I should perhaps have cited, but whose contributions I failed to recall. I will be happy to add citations if omissions are pointed out to me.
Note: Earlier notes in pdf format
Useful References and Tutorials¶
Courses using Julia:
- Julia in the classroom
- Julia for DataScience at MIT
- Intro to Programming (SciencesPo)
- Julia Notes
- Modern Julia Workflows
Books:
Blogs and shorter posts
- Numerical Computing in Julia with a guide for learning software development
- Resources for learning Julia
Computational Economics Resources¶
QuantEcon: Lectures and code in Julia and Python. Especially Quantitative Economics with Julia.
Other collections:
- F. Iskhakov
- EconARK by Chris Carroll (extensive collection in Python).
Courses:
- Jesus Fernandez-Villaverde: Course notes on scientific computing
- Computational Economics for PhDs (SciencesPo)
Books:
- Introduction to Quantitative Macroeconomics Using Julia
- Economic Growth: Theory and Numerical Solution Methods
Blogs and shorter posts