semvec/pypi-packages huggingface dataset:
Datapyck 0.1.0
A small package for creating simple Minecraft datapacks for 1.17+.
License: MIT

# Datapyck
A small package for creating simple Minecraft datapacks for 1.17+.
This package is NOT made for people unexperienced in either Python or Minecraft datapack creation.

### Installation
```
pip install Datapyck
```

### Get started
How to create a simple datapack that welcomes you once the world is reloaded:
```Python
from Datapyck import Datapack, Tellraw

# Instantiate a Datapack object
datapack = Datapack(
    name="My Datapack",
    description="A simple demo to Datapyck.",
    version="1.19.3"
)

# Instantiate a Tellraw object
welcome_message = Tellraw(
    selector="everyone",
    text="Hello there! The datapack has just loaded!",
    color="green",
    underline=True
)

# Write the Tellraw to the load function
datapack.write("load", welcome_message)
```
mds-jl6276-finalproject 0.1.0
A final project for MDS 2022 Fall. It includes a function that relies on Yelp api, and the funtion takes in a catagory in terms like 'bars', 'restaurant', etc... and return the location of resaurant in New York On map.
License: MIT
Requires Python: >=3.9,<4.0

# mds_jl6276_finalproject

A final project for MDS 2022 Fall. It includes a function that relies on Yelp api, and the funtion takes in a catagory in terms like 'bars', 'restaurant', etc... and return the location of resaurant in New York On map.

## Installation

```bash
$ pip install mds_jl6276_finalproject
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`mds_jl6276_finalproject` was created by Jin Liu. It is licensed under the terms of the MIT license.

## Credits

`mds_jl6276_finalproject` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
pybioanalyzer 0.2
A Python parser for Bioanalyzer files
License: MIT
Requires Python: >=3.7.0

# PyBioAnalyzer
Python codes for analyzing bioanalyzer files

# Requirements
Checked compatible with python3.7. Probably works in python >3.7.
- matplotlib
- scipy 1.2.1
- pandas

# Installation 
```
pip install pybioanalyzer
```
# Usage
```
pybioanalyzer --folder_name example/ --assay_type HS_DNA --min_lim 30 --max_lim 500 --disable_ladder
```
- result files must be export as csv format.
- Results.csv has to contain ladder information.

# Contribution
- Georg Urtel, Evgeniia Edeleva