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Copy file name to clipboardexpand all lines: README.md
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- Self-study: [Testing and Packages](https://julia.quantecon.org/software_engineering/testing.html)
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- Self-study: [Git and Github](https://julia.quantecon.org/software_engineering/version_control.html)
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5.**September 18**: clean up example project, introduction to automatic differentiation
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- In class: [automatic differentiation packages](qmd/autodiff/autodiff.qmd)
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- In class: [automatic differentiation packages](qmd/autodiff.qmd), [slides](https://ubcecon.github.io/ECON622/paul/autodiff.html)
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- Self-study: [Automatic Differentation in *Scientific Programming in Julia*](https://juliateachingctu.github.io/Scientific-Programming-in-Julia/dev/lecture_08/lecture/)
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- Self-study: [Differentiation for Hackers](https://github.com/MikeInnes/diff-zoo)
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- Self-study: [Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and Julia](http://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/)
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- Optional:
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-[Understanding automatic differentiation (in Julia)](https://www.youtube.com/watch?v=UqymrMG-Qi4)
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-[Forward and Reverse Automatic Differentiation In A Nutshell](https://rawcdn.githack.com/mitmath/matrixcalc/e90417f46a20bec6d9c743c6b7bf5b178e77913a/automatic_differentiation_done_quick.html)
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-[Intro to AD](https://quantecon.github.io/lecture-julia.myst/more_julia/optimization_solver_packages.html#Introduction-to-Automatic-Differentiation)
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