semvec/pypi-packages huggingface dataset:
plex-playlist-dock 1.0.0
A tool to manage Plex playlists and import from streaming services
Requires Python: >=3.6

## Plex Playlist Dock

### Plex Playlist Dock is a powerful and intuitive application designed to manage your Plex playlists effortlessly. With a modern and user-friendly interface, it allows you to:

- Import .m3u and .m3u8 playlists into Plex.
- Export your Plex playlists to .m3u files.
- Delete unwanted playlists from your Plex server.
- Convert playlists from popular streaming services like Spotify, Deezer, and Tidal directly into Plex playlists.
hubmap-sdk 1.0.10
Python Client Libary to use HuBMAP web services
Requires Python: >=3.9
Keywords: HuBMAP Sdk, python

# hubmap-sdk

---
A Python interface to the various HuBMAP web services

### Overview

The hubmap sdk is a client library that allows for easy integration of the API's associated with HuBMAP. 

### Using hubmap-sdk

The hubmap-sdk library is available through PyPi via the command:

```bash
pip3 install hubmap-sdk
```
hubmap-sdk requirements can be found [here](requirements.txt)

## Documentation
Documentation and examples can be found here

* [hubmapsdk](https://docs.hubmapconsortium.org/sdk/hubmapsdk.html)
* [entitysdk](https://docs.hubmapconsortium.org/sdk/entitysdk.html)
* [searchsdk](https://docs.hubmapconsortium.org/sdk/searchsdk.html)

### Building and Publishing hubmap-sdk

<a href="https://pypi.org/project/setuptools/">SetupTools</a> and <a href="https://pypi.org/project/wheel/">Wheel</a> is required to build the sdk distribution. <a href="https://pypi.org/project/twine/">Twine</a> is required to publish to Pypi

Build the distribution directory with: 

```bash
python3 setup.py sdist bdist_wheel
```

from within the python-sdk project directory

To publish, from inside the project directory, run:

```bash
twine upload dist/*
```

A prompt to enter login information to the hubmap Pypi account will appear


### Files 

This code contains:

**collection.py** Contains the Collection class. This is used for creation and modification of Collection objects.

**dataset.py** Contains the Dataset class. This is used for creation and modification of Dataset objects.

**donor.py** Contains the Donor class. This is used for creation and modification of Donor objects.

**entity.py** Contains the Entity class. This is the base class for the Donor, Dataset, Upload, Collection, and Sample classes

**entitysdk.py** This file contains the primary methods used to interface with the Entity Api. These methods are part of the EntitySdk class. An instance of this class is needed to use the various methods in this class. For a detailed breakdown of the various methods within entitysdk.py, visit <a href="https://api.docs.hubmapconsortium.org">api.docs.hubmapconsortium.org</a>  

**sample.py** Contains the Sample class. This is used for creation and modification of Sample objects.

**sdk_helper.py** This helper function contains various functions used frequently throughout the sdk. These include make_entity() and make_request()

**searchsdk.py** This file contains the primary methods used to interface with the Search Api. These methods are part of the EntitySdk class. An instance of this class is needed to use the various methods in this class. For a detailed breakdown of the various methods within searchsdk.py, visit <a href="https://api.docs.hubmapconsortium.org">api.docs.hubmapconsortium.org</a>  

**upload.py** Contains the Upload class. This is used for creation and modification of Upload objects.
beamdust-sdk 1.0.2
A Python SDK for interacting with Beamdust API
Requires Python: >=3.6

# Beamdust Package

Beamdust is a Python SDK for interacting with APIs that use Swagger specifications. It dynamically generates methods for API endpoints and allows users to perform authenticated API requests with ease.

## Installation

You can install the `beamdust-package` from **source code** by following these steps:

### Clone the repository:

```bash
git clone https://github.com/Beamdust/beamdust-package.git
```

## Navigate to the project directory:

```bash
cd beamdust-package
```

## Install the package using setup.py:

```bash
python setup.py install
```
This will install the package and its dependencies on your system.

### Usage Example
Here's a simple example of how to use the Beamdust SDK to interact with an API:

Import the Beamdust SDK
```python
from beamdust.beamdust import Beamdust

# Initialize the Beamdust instance
beamdust = Beamdust(base_url="https://your-api.com", email="your-email@example.com", password="your-password")

# Retrieve information about available API methods
available_methods = beamdust.get_available_functions()
print("Available API methods:", available_methods)

# Getting the example body to send to this endpoint 
print(beamdust.retrieve_notifications(_help=True))

# Making a request to a dynamically generated API method
notification_response = beamdust.retrieve_notifications({
    "page": 0,
    "size": 2,
    "sorts": {"field": "body.timestamp", "order": "desc"},
    "filters": []
})
```

### Key Features:
- Dynamic Method Generation: Methods are automatically generated based on the Swagger documentation of the API.
- Authentication: Log in using your email and password, and the SDK will manage your authentication token.
- Swagger Integration: The SDK loads and integrates with Swagger documentation to provide structured access to API endpoints.
- API Calls: Make API requests to any endpoint by using the method name corresponding to the Swagger operationId.
Documentation: Use the _help flag in any method to retrieve the expected body structure for API requests.
data_transformation_lib_turing_oj 0.1.0
A library for common data transformations
Requires Python: <4.0,>=3.10

# Data Transformation Library

A Python library for common data transformation tasks, including time series windowing and cross-correlation operations.

## Features

- **Time Series Windowing**: Create sliding windows from 1D arrays.
- **Cross-Correlation**: Perform cross-correlation operations on 2D arrays.

## Installation

To install this library, use Poetry:

```bash
poetry install