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@@ -18,7 +18,7 @@ It is straightforward to install the Jupyter Book and Julia software necessary f
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1.[Install Julia, Conda, and VS Code](https://quantecon.github.io/lecture-julia.myst/getting_started_julia/getting_started.html) following the documentation for using these notes.
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2. Modify [VS Code settings](https://quantecon.github.io/lecture-julia.myst/software_engineering/tools_editors.html#optional-extensions-and-settings) and consider [additional extensions](https://quantecon.github.io/lecture-julia.myst/software_engineering/tools_editors.html#optional-extensions). Some others to consider are the [MyST-Markdown](https://github.com/executablebooks/myst-vs-code) and [Spell Checking](https://marketplace.visualstudio.com/items?itemName=streetsidesoftware.code-spell-checker) extensions.
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3. Ensure that [Git](https://quantecon.github.io/lecture-julia.myst/software_engineering/version_control.html#setup) is set up correctly. In particular this ensures that Windows users use the linux end-of-line characters.
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3. Ensure that [Git](https://quantecon.github.io/lecture-julia.myst/software_engineering/version_control.html#setup) is set up correctly. In particular, this ensures that Windows users use the Linux end-of-line characters.
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4. Clone this repository (in VS Code, you can use `<Ctrl+Shift+P>` then `Clone` then `Clone from GitHub` then choose the repo as `https://github.com/QuantEcon/lecture-julia.myst`).
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6. Open this repository in VS Code. If you cloned in a separate terminal, navigate to the directory and type `code .`
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