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MAINT: Standardized README (#311)
* MAINT: std README * reference is no longer available * reference to new location of lecture * resource no longer available
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README.md

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# lecture-python-programming.myst
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# Python Programming for Economics and Finance
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Source files for https://python-programming.quantecon.org
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This website presents a set of lectures on Python programming for economics and finance.
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## GH-PAGES
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## Jupyter notebooks
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This repository is hosted on Github Pages:
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Jupyter notebook versions of each lecture are available for download
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via the website.
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https://quantecon.github.io/lecture-python-programming.myst/
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## Contributions
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with a custom domain
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To comment on the lectures please add to or open an issue in the issue tracker (see above).
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https://python-programming.quantecon.org
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We welcome pull requests!
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Please read the [QuantEcon style guide](https://manual.quantecon.org/intro.html) first, so that you can match our style.

lectures/matplotlib.md

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```
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Here are [more examples](https://www.datafantic.com/the-magic-of-matplotlib-stylesheets/) on how to change these parameters.
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## Further Reading
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* The [Matplotlib gallery](http://matplotlib.org/gallery.html) provides many examples.

lectures/sympy.md

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simplify(Dt.doit())
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```
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This is consistent with the solution in the lecture on [geometric series](https://python.quantecon.org/geom_series.html#example-the-money-multiplier-in-fractional-reserve-banking).
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This is consistent with the solution in the lecture on [geometric series](https://intro.quantecon.org/geom_series.html#example-the-money-multiplier-in-fractional-reserve-banking).
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#### Example: discrete random variable

lectures/workspace.md

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- by right clicking within the Notebook and selecting Create Console for Editor
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Use Shift + Enter to run a line of code.
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More on ipykernel consoles [here](https://ipython.readthedocs.io/en/stable/interactive/reference.html#ipykernel).
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```
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## A walk through Visual Studio Code

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