https://github.com/cpfiffer/julia-bootcamp-2022
https://github.com/cpfiffer/julia-bootcamp-2022
autodiff bayesian-statistics econometrics julia numerical-optimization statistics
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/cpfiffer/julia-bootcamp-2022
- Owner: cpfiffer
- License: mit
- Created: 2022-01-03T18:08:05.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-08-22T16:10:47.000Z (almost 2 years ago)
- Last Synced: 2025-03-28T19:04:50.729Z (3 months ago)
- Topics: autodiff, bayesian-statistics, econometrics, julia, numerical-optimization, statistics
- Language: Jupyter Notebook
- Homepage:
- Size: 5.93 MB
- Stars: 480
- Watchers: 28
- Forks: 80
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Julia for Economists Bootcamp, 2022
I taught a series of instructional Julia sessions at Stanford's GSB. Each month's session was two to four hours of lectures, practical examples, and guided projects tailored towards economics research computing using Julia.
Each month covers a different topic and can be attended in isolation, though the first session covers the basics of Julia and may be useful for more advanced sessions if you are not currently familiar with Julia.
## Session 1: Julia basics
- [Recording](https://youtu.be/BnTYMOOPEzw)
- [Lecture notes](https://github.com/cpfiffer/julia-bootcamp-2022/blob/main/session-1/intro.ipynb)
- [Example data](https://github.com/cpfiffer/julia-bootcamp-2022/blob/main/session-1/example.csv)
- [Project solution](https://github.com/cpfiffer/julia-bootcamp-2022/blob/main/session-1/project.jl)
## Session 2: Parallelization
- [Recording](https://www.youtube.com/watch?v=trhsvOAH0YI)
- [Lecture notes](https://github.com/cpfiffer/julia-bootcamp-2022/blob/main/session-2/parallelization-lecture.ipynb)
## Session 3: Optimization and Automatic Differentiation
- [Recording](https://www.youtube.com/watch?v=B5O3xBolDCc)
- [Lecture notes](https://github.com/cpfiffer/julia-bootcamp-2022/blob/main/session-3/optimization-lecture.ipynb)
## Session 4: High-performance Julia
- [Recording](https://youtu.be/i35LlZWZl1g)
- [Lecture notes](https://github.com/cpfiffer/julia-bootcamp-2022/blob/main/session-4/speed-lecture.ipynb)
## Session 5: Computational Bayesian statistics
- [Recording](https://youtu.be/lnbA_j2YwyA)
- [Lecture notes](https://github.com/cpfiffer/julia-bootcamp-2022/blob/main/session-5/bayes-lecture.ipynb)