Metadata-Version: 2.4
Name: jutility
Version: 0.0.27
Summary: A Judicious collection of Python Utilities (including CLI configuration, plotting, and tables) and component of the JUML framework.
Author: Jake Levi
Author-email: jakelevi@hotmail.co.uk
License: MIT License
Project-URL: Homepage, https://github.com/jakelevi1996/jutility
Project-URL: Documentation, https://github.com/jakelevi1996/jutility
Project-URL: Repository, https://github.com/jakelevi1996/jutility
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib>=3.9.2
Requires-Dist: numpy>=1.26.3
Requires-Dist: pillow>=10.2.0
Requires-Dist: ipython>=7.34.0
Dynamic: license-file

# jutility

A Judicious collection of Python Utilities (including CLI configuration, plotting, and tables) and component of the [JUML](https://github.com/jakelevi1996/juml) framework.

![](https://raw.githubusercontent.com/jakelevi1996/jutility/main/images/logo_black.png)

## Contents

- [jutility](#jutility)
  - [Contents](#contents)
  - [Install with `pip`](#install-with-pip)
  - [Usage examples](#usage-examples)

## Install with `pip`

The `jutility` package is available as [a Python package on PyPI](https://pypi.org/project/jutility/), and can be installed with `pip` using the following commands:

```
python -m pip install -U pip
python -m pip install -U jutility
```

The `jutility` package can be installed with the latest updates from GitHub:

```
python -m pip install -U pip
python -m pip install git+https://github.com/jakelevi1996/jutility.git --force-reinstall --no-deps
```

Alternatively, `jutility` can be installed in "editable mode" from the [GitHub repository](https://github.com/jakelevi1996/jutility):

```
git clone https://github.com/jakelevi1996/jutility.git
python -m pip install -U pip
python -m pip install -e ./jutility
```

The installation can be verified with the following snippet, for example in a [Google Colab notebook](https://colab.research.google.com/):

```python
from jutility import plotting

plotting.plot(
    plotting.Line([1, 2, 4], [1, 3, 2], c="r", m="o"),
    show=True,
)
```

## Usage examples

*Outdated; TODO*

(in the meantime, see [`scripts/make_logo.py`](scripts/make_logo.py) which made the logo above, and [unit tests](tests/) for [`util`](tests/test_util.py), [`plotting`](tests/test_plotting.py), and [`cli`](tests/test_cli.py))
