algoesup


Namealgoesup JSON
Version 0.3.1 PyPI version JSON
download
home_pagehttps://github.com/dsa-ou/algoesup/
SummaryAlgorithmic essay support library
upload_time2024-08-17 16:48:42
maintainerNone
docs_urlNone
authorMichel Wermelinger
requires_python<4.0,>=3.10
licenseBSD-3-Clause
keywords education
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Algoesup

This small library was written to support the writing of
[algorithmic essays](https://dsa-ou.github.io/algoesup),
but can be used independently of that purpose.
The library provides auxiliary functions that make it easier to:
 - write unit tests for functions
 - measure and plot run-times for best, average and worst case inputs
 - use linters and type checkers within Jupyter Notebook environments.

Guidance on how to use the library is [here](https://dsa-ou.github.io/algoesup/coding/).

To install in the global Python environment, open a terminal or PowerShell, and enter
```bash
pip install algoesup
```
To install in a virtual environment, activate it before entering the command above.

The library supports the [ruff](https://docs.astral.sh/ruff) and
[allowed](https://dsa-ou.github.io/allowed) linters, and the
[pytype](https://google.github.io/pytype) type checker.
You have to install them explicitly if you want to use them from within a notebook:
```bash
pip install ruff allowed pytype
```
Note that `pytype` is not available for Windows.

## Licence

`algoesup` is Copyright © 2023–2024 by The Open University, UK.
The code is licensed under a
[BSD 3-clause licence](https://github.com/dsa-ou/algoesup/blob/main/LICENSE).
The documentation is licensed under a
[Creative Commons Attribution 4.0 International Licence](https://creativecommons.org/licenses/by/4.0/)
            

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    "description": "# Algoesup\n\nThis small library was written to support the writing of\n[algorithmic essays](https://dsa-ou.github.io/algoesup),\nbut can be used independently of that purpose.\nThe library provides auxiliary functions that make it easier to:\n - write unit tests for functions\n - measure and plot run-times for best, average and worst case inputs\n - use linters and type checkers within Jupyter Notebook environments.\n\nGuidance on how to use the library is [here](https://dsa-ou.github.io/algoesup/coding/).\n\nTo install in the global Python environment, open a terminal or PowerShell, and enter\n```bash\npip install algoesup\n```\nTo install in a virtual environment, activate it before entering the command above.\n\nThe library supports the [ruff](https://docs.astral.sh/ruff) and\n[allowed](https://dsa-ou.github.io/allowed) linters, and the\n[pytype](https://google.github.io/pytype) type checker.\nYou have to install them explicitly if you want to use them from within a notebook:\n```bash\npip install ruff allowed pytype\n```\nNote that `pytype` is not available for Windows.\n\n## Licence\n\n`algoesup` is Copyright \u00a9 2023\u20132024 by The Open University, UK.\nThe code is licensed under a\n[BSD 3-clause licence](https://github.com/dsa-ou/algoesup/blob/main/LICENSE).\nThe documentation is licensed under a\n[Creative Commons Attribution 4.0 International Licence](https://creativecommons.org/licenses/by/4.0/)",
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