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cpfiffer/julia-bootcamp-2022

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.vscode                 .vscode                              
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Pfiffer Julia_Turing    Pfiffer Julia_Turing                 
Bootcamp Proposal.pdf   Bootcamp Proposal.pdf
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README.md               README.md                            
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  * README
  * MIT license

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
  * Lecture notes
  * Example data
  * Project solution

Session 2: Parallelization

 

  * Recording
  * Lecture notes

Session 3: Optimization and Automatic Differentiation

 

  * Recording
  * Lecture notes

Session 4: High-performance Julia

 

  * Recording
  * Lecture notes

Session 5: Computational Bayesian statistics

 

  * Recording
  * Lecture notes

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Topics

statistics julia econometrics numerical-optimization 
bayesian-statistics autodiff

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Contributors 4

  * @cpfiffer cpfiffer Cameron Pfiffer
  * @pitmonticone pitmonticone Pietro Monticone
  * @jeremiahpslewis jeremiahpslewis Jeremiah
  * @ki-chi ki-chi Kiichi

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