semvec/pypi-packages huggingface dataset:
starparse 0.1.1
Starbound save game parser
License: MIT

# starparse [<img src="https://img.shields.io/gitlab/pipeline/alen/starparse/main?gitlab_url=https%3A%2F%2Fgitlab.home.alen.sh%2F&label=Gitlab%20CI&style=flat-square" align="right">](https://gitlab.home.alen.sh/alen/starparse) [<img src="https://img.shields.io/travis/buhanec/starparse/main.svg?label=Travis+CI&style=flat-square" align="right">](https://travis-ci.org/buhanec/starparse) [<img src="https://img.shields.io/azure-devops/build/buhanec/b18841f7-3636-4121-b15f-f924dc02c956/4/main?label=Azure%20DevOps&style=flat-square" align="right">](https://dev.azure.com/buhanec/starparse/_build)

Small Python project to parse save game files for Starbound.

Works with 1.0.x / nightly save files, both to unpack and re-pack.

Look at [`tests/test_e2e.py`](tests/test_e2e.py) for an example of reading a save file.
xbasin 0.0.5
TODO
License: MIT
Requires Python: >=3.6

# xbasin
Python package to compute diagnostics of idealized basin global circulation models. NEMO oriented for now. Deals with terrain-following coordinates.

2020-11-02: The vertical transformation function should not be used anymore, see the [xgcm](https://github.com/xgcm/xgcm) package that is the new reference.

## What's new

### v0.0.5
* Bug fix in surface buoyancy fluxes nemo wrap
* Add option to choose T, S, and depth names in eos nemo_wrap
python-algorithms-3x 6.0.0
Python sorting and searching algorithms
License: MIT

# Python sorting/searching algorithms


The **algorithms3x** is a python package with 5 sorting/searching algorithms. The package would keep updating as python itself updates to higher versions.

It contains the following algorithms:

- Selection sort
- Bubble sort
- Linear search
- Binary search
- Merge sort

# Installation
If not already [install pip](https://pip.pypa.io/en/stable/installing/)

Install the package with `pip` or `pip3`:

```bash
pip install python-algorithms-3x
```

# Usage
### Example:

```Python
from algorithms3x.search import linear_search
linear_search([1, 2, 3], 4)
```

Output:
```Python
False
```

```Python
from algorithms3x.sort import merge_sort
print(merge_sort([4, 1, 2, 3]))
```

Output:
```Python
[1, 2, 3, 4]
```