Metadata-Version: 2.1
Name: annual
Version: 0.1.3
Summary: comment goes here.
Author-email: tom65536 <peregrinus@planet.ms>
Requires-Python: >=3.11
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Typing :: Typed
Requires-Dist: lark~=1.1
Requires-Dist: build ~= 1.2 ; extra == "build"
Project-URL: Home, https://github.com/tom65536/annual
Project-URL: Source, https://github.com/tom65536/annual
Provides-Extra: build

# annual
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## Synopsis
The Python package _annual_ provides date calculations
with human-readable expressions.


## Prerequisites

Before you begin, ensure you have met the following requirements:

* You have installed Python 3.11 or later.
_annual_ is compatible with Python 3.11+.
* You have a basic understanding of Python programming.
* (Optional) For development: You have `git` installed for version control.

## Installation

_annual_ can be installed using pip.
To install _annual_, follow these steps:

1. Open your terminal (Command Prompt on Windows).
2. Run the following command:

```sh
pip install annual
```

## Usage
The simplest way of using this package is invoking the rule parser
directly. The following example shows how to compute the second
monday in October for the year 2024.

```python
>>> from annual.ruleparser import rule_parser
>>> rule_parser(2024).parse('2nd monday of october')
datetime.date(2024, 10, 14)

```

For a full overview of the syntax supported by the rule parser
consult the [Syntax Guide](https://annual.readthedocs.io/latest/syntax.html).


## Additional Documentation

For more detailed information about DateCalc, please refer to our comprehensive documentation:

- **User Guide**: For in-depth explanations of _annual_'s features and how to use them effectively, visit our [User Guide](https://annual.readthedocs.io/latest/user_guide.html).

- **API Reference**: For detailed information about _annual_'s classes, methods, and functions, check out our [API Reference](https://annual.readthedocs.io/latest/autoapi/).

- **Tutorials**: To get started quickly with practical examples, see our [Tutorials](https://annual.readthedocs.io/latest/tutorials.html).

- **FAQ**: For answers to commonly asked questions, visit our [FAQ page](https://annual.readthedocs.io/latest/faq.html).

- **Contributing**: If you're interested in contributing to _annual_,
please read our [Contribution Guidelines](CONTRIBUTING.md).

Our documentation is hosted on Read the Docs and is kept up-to-date
with each release. You can find the full documentation at:

[https://annual.readthedocs.io](https://annuam.readthedocs.io)

If you can't find the information you're looking for, please [open an issue](https://github.com/tom6t536/annual/issues) on our GitHub repository. We're always looking to improve our documentation and appreciate your feedback!

## License
This package is released under the terms of the MIT License.

## Related Libraries
- [`dateutil`](https://pypi.org/project/python-dateutil/): extensions to the standard Python datetime module
- [`Delorean`](https://pypi.org/project/Delorean/): library for manipulating datetimes with ease and clarity
- [`dateparser`](https://pypi.org/project/dateparser/): date parsing library designed to parse dates from HTML pages
- [`workalendar`](https://pypi.org/project/workalendar/): worldwide holidays and working days helper and toolkit
- [`convertdate`](https://pypi.org/project/convertdate/): converts between Gregorian dates and other calendar systems

