https://github.com/quantecon/python_lecture_sandpit

A sandpit for developing lectures on the Python side
https://github.com/quantecon/python_lecture_sandpit

Last synced: 12 months ago
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A sandpit for developing lectures on the Python side

• Host: GitHub
• URL: https://github.com/quantecon/python_lecture_sandpit
• Owner: QuantEcon
• License: bsd-3-clause
• Created: 2019-03-13T02:26:15.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-09-09T19:46:22.000Z (over 5 years ago)
• Last Synced: 2025-06-20T09:06:14.098Z (12 months ago)
• Language: Smarty
• Size: 2.37 MB
• Stars: 2
• Watchers: 5
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          

# Lectures in Quantitative Economics Test Site

This is a sandpit version of the main RST lecture source repo, which is https://github.com/QuantEcon/lecture-source-py.

For instructions on how to operate it, see that repository.  Operation is

essentially the same.

In short:

1) Download and install [Anacoda](https://www.anaconda.com/distribution/) for your platform .

2) Download or clone this repository.

3) Enter your local copy of the repository and run `make setup`.

To transform the `rst` files in to `ipynb` files, enter the repo and run `make notebooks`.

The resulting `ipynb` files are stored in a temporary `_build` directory at the root level of the repository.

To view the notebooks run `make view`

Additionally you can view a particular lecture directly:

* Example: `make view lecture=about_py`

The [main repo](https://github.com/QuantEcon/lecture-source-py) contains further suggestions on workflow.