Metadata-Version: 2.1
Name: ANU_inversion_course
Version: 0.1.0.dev2
Summary: ANU Inversion Course Package
Home-page: UNKNOWN
Author: InLab
License: UNKNOWN
Keywords: inversion,inference,geoscience,geophysics
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
Description-Content-Type: text/markdown

# ANU Inversion Course Package

[![Build](https://github.com/anu-ilab/ANUInversionCourse/actions/workflows/build_wheels.yml/badge.svg?branch=main)](https://github.com/anu-ilab/ANUInversionCourse/actions/workflows/build_wheels.yml)

This package contains resources to be used in the [inversion course practicals](https://github.com/anu-ilab/JupyterPracticals).

## Installation (experimental stage)

```bash
pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple anu-inversion-course
```

## Installation

(optional) It's recommended to use a virtual environment (using `conda` or `venv`, etc.) so that it doesn't conflict with your other Python projects. 

Type the following in your terminal:

```bash
pip install anu-inversion-course
```

And when you run `jupyter-lab` to do the practicals, make sure you are in the same environment as where your `anu-inversion-course` was installed. You can try to test this by checking if the following commands give you similar result:

```bash
$ which pip
<some-path>/bin/pip
$ which jupyter-lab
<same-path>/bin/jupyter-lab
$ pip list | grep anu-inversion-course
anu-inversion-course               0.1.0
```





