semvec/pypi-packages huggingface dataset:
flyeye 0.6
Analysis package for FlyEye Silhouette data.
License: MIT
Requires Python: >=3

# <img alt="FlyEye Analysis" src="docs/source/graphics/analysis_header.png" height="150">


**FlyEye Analysis** is part of the **NU FlyEye** platform for studying gene expression in *Drosophila* eye imaginal discs. The analysis package helps users analyze data measured using **FlyEye Silhouette**.

Given one or more ``.silhouette`` files, FlyEye Analysis facilitates:

   - **Dynamic Measurements.** Infer expression dynamics from static data

   - **Data Querying.** Select cells by developmental age and cell type

   - **Dynamic Analysis.** Analyze and visualize expression dynamics

   - **Spatial Analysis.** Detect and quantify spatial expression patterns


Please refer to the [documentation](https://sbernasek.github.io/flyeye/index.html#) page for tips on getting started with analyzing your data.


Dependencies
============

 - Python 3.6+

Required:

 - [Scipy](https://www.scipy.org/)
 - [Pandas](https://pandas.pydata.org/)
 - [Matplotlib](https://matplotlib.org/)

Optional:

 - [AstroML](https://pypi.org/project/astroML/)
 - [AstroML Addons](https://github.com/astroML/astroML_addons)


Installation
============

The simplest method is to install via ``pip``:

    pip install flyeye


Examples
========

We've provided a couple tutorial notebooks to help get you started with analyzing your own data. For an example of a complete project utilizing the entire **NU FlyEye** platform, please refer to [our study](https://doi.org/10.1101/430744 ) of Pointed and Yan expression during retinal patterning.


Authors
=======

[Amaral Lab](https://amaral.northwestern.edu/)
py-royale 0.1.0
Asynchronous wrapper for the official Supercell Clash Royale API.
License: MIT
Requires Python: >=3.7.0
Keywords: supercell,api,asynchronous,clash royale,api wrapper,asyncio,aiohttp

# PyRoyale

Asynchronous wrapper for the official Supercell [Clash Royale API](https://developer.clashroyale.com).

[![MIT License](https://img.shields.io/apm/l/atomic-design-ui.svg?)](https://github.com/dzindo/PyRoyale/blob/master/LICENSE) [![PyPi Version](https://img.shields.io/pypi/v/py-royale)](https://pypi.org/project/py-royale/)

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install PyRoyale.

```bash
pip install py-royale
```
## Usage/Examples

Retrieving Player Information
```python
import asyncio
from pyroyale import ClashRoyaleAPI

TOKEN = "YOUR API TOKEN FROM https://developer.clashroyale.com"
clashroyale_client = ClashRoyaleAPI(token=TOKEN)

async def player_information():
    upcoming_chests = await clashroyale_client.get_player_upcoming_chests(playerTag="#PPV2JUUGU")
    print(upcoming_chests)
    # returns the json response object containing the players upcoming chests.

    battle_log = await clashroyale_client.get_player_battle_log(playerTag="#PPV2JUUGU")
    print(battle_log)
    # returns the json response object containing the players battle log.

asyncio.run(player_information())
```

Retrieving Clan Information
```python
import asyncio
from pyroyale import ClashRoyaleAPI

TOKEN = "YOUR API TOKEN FROM https://developer.clashroyale.com"
clashroyale_client = ClashRoyaleAPI(token=TOKEN)

async def clan_information():
    # this example is to show the use of query parameters via the functions argument parameters
    # retrieves the first 15 clan memembers, removing the limit parameter will retrieve ALL clan memebers
    clan_members = await clashroyale_client.get_clan_members(clanTag="#L0YJ02YL", limit=15)
    print(clan_members)
    # returns the json response object containing the first 15 clan memebers.

    clan_information = await clashroyale_client.get_clan_information(clanTag="#L0YJ02YL")
    print(clan_information)
    # returns the json response object containing the clan information.

asyncio.run(clan_information())

```

## Todo
- Create models for the json data to allow for easier access.
## License

[MIT](https://choosealicense.com/licenses/mit/)