Metadata-Version: 2.2
Name: seabirdscientific
Version: 2.4.2
Summary: Sea-Bird Scientific Community Toolkit
Author-email: Sea-Bird Scientific <techsupport@seabird.com>, Ryan Anderson <randerson@seabird.com>, Lukas Christensen <lchristensen@seabird.com>, Dane Lucas <dlucas@seabird.com>, Eric Rehm <erehm@seabird.com>, Bruce Rhoades <brhoades@seabird.com>, Jesse Templin <jtemplin@seabird.com>
Project-URL: Homepage, https://www.seabird.com/software
Project-URL: Repository, https://github.com/Sea-BirdScientific/seabirdscientific
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: gsw
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: plotly
Requires-Dist: scipy
Provides-Extra: dev
Requires-Dist: black; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: nbformat; extra == "dev"
Requires-Dist: notebook; extra == "dev"
Requires-Dist: pre-commit; extra == "dev"
Requires-Dist: pylint; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: twine; extra == "dev"

# seabirdscientific
This is the repository for the Sea-Bird Scientific (SBS) Community Toolkit. It is a collection of:
- Python code to help in user developed processing of data collected with SBS instruments (see the repository src/sbs folder).
- Example SBS instrument data (see the repository documentation/example_data folder).
- A [Jupyter](https://jupyter.org/) notebook that documents the current toolkit processing options that can be applied to data collected with SBE 37 and SBE 19plus V2 CTDs (see the repository documentation folder). This notebook also serves to document the processing options available in the SBS Fathom application.

## Documentation
https://github.com/Sea-BirdScientific/seabirdscientific/tree/main/documentation  

## Package Installation With pip
The seabirdscientific package uses Python 3.9 or greater. To install the package in a Python environment using pip send the command:

On Windows:
``` bash
py -m pip install seabirdscientific
```

On Unix/macOS:

``` bash
python3 -m pip install seabirdscientific
```
For additional information see the [Python.org Installing Packages](https://packaging.python.org/en/latest/tutorials/installing-packages/#installing-packages) reference.

## Example package use within python code
```python
import seabirdscientific
from seabirdscientific import contour
import seabirdscientific.conversion as conv
import seabirdscientific.processing as proc
```

## Required Software
You must have [Python](https://www.python.org/downloads/) version 3.9 or higher installed in order to use the toolkit.

## CTD Jupyter Notebook
The ctd-processing.ipynb notebook in the documentation folder provides examples of the methods that can be applied to SBS CTD data within both the toolkit and the SBS Fathom application. There are a number of online references available with information on Jupyter notebook setup for different platforms and environments. For those who are not interested in an interactive notebook, there is a static version available in [PDF](https://github.com/Sea-BirdScientific/seabirdscientific/blob/main/documentation/ctd-notebook.pdf) format.

## Contributions to the Toolkit
If you have code or data that you would like to contribute to the SBS community toolkit, please contact [SBS customer support](https://www.seabird.com/support)
