# lecture-python-programming.myst

# Python Programming for Economics and Finance

Source files for https://python-programming.quantecon.org

This website presents a set of lectures on Python programming for economics and finance.

## GH-PAGES

## Jupyter notebooks

This repository is hosted on Github Pages:

Jupyter notebook versions of each lecture are available for download

via the website.

https://quantecon.github.io/lecture-python-programming.myst/

## Contributions

with a custom domain

To comment on the lectures please add to or open an issue in the issue tracker (see above).

https://python-programming.quantecon.org

We welcome pull requests!

Please read the [QuantEcon style guide](https://manual.quantecon.org/intro.html) first, so that you can match our style.

```

Here are [more examples](https://www.datafantic.com/the-magic-of-matplotlib-stylesheets/) on how to change these parameters.

## Further Reading

* The [Matplotlib gallery](http://matplotlib.org/gallery.html) provides many examples.

simplify(Dt.doit())

```

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).

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).

#### Example: discrete random variable

- by right clicking within the Notebook and selecting Create Console for Editor

Use Shift + Enter to run a line of code.

More on ipykernel consoles [here](https://ipython.readthedocs.io/en/stable/interactive/reference.html#ipykernel).

```

## A walk through Visual Studio Code