semvec/pypi-packages huggingface dataset:
gtagora-app 2.9.0
Python version of the Agora app
Requires Python: >=3.6.0

# gtagora-app-py [![Build Status](https://travis-ci.org/gyrofx/gtagora-connector-py.svg?branch=master)](https://travis-ci.org/gyrofx/gtagora-connector-py)

Helper app for Agora (http://www.gyrotools.com/gt/index.php/products/agora)

## Installation

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

```bash
pip install gtagora-app
```

Currently gtagora-app supports python 3.6 and 3.7.

## Basic usage

### Run
Run the app with
```bash
gtagoraapp
```

### Setup
when the app is run for the first time, a setup process is started. You will be prompted for the Agora URL, your 
credentials and path settings. 
The setup can also be started manually by calling:
```bash
gtagoraapp --setup
```
pfp-lgbt 1.0.2
Python API Wrapper for https://pfp.lgbt/
Requires Python: >=3.6

# pfp_lgbt.py

![Master](https://github.com/Weilbyte/pfp_lgbt.py/workflows/CI/badge.svg?branch=master) [![Codacy Badge](https://app.codacy.com/project/badge/Grade/d0da4cffcb744674a69fbcee8253796d)](https://www.codacy.com/manual/Weilbyte/pfp_lgbt.py?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=Weilbyte/pfp_lgbt.py&amp;utm_campaign=Badge_Grade)

Asynchronous Python API Wrapper for https://pfp.lgbt/ 
Respects rate limits.

### Installing

To install the library you can run the following command
```py
pip3 install pfp_lgbt
```

### Documentation
You can find the documentation on this repo's wiki.

### Examples
List the names of all available flags. 
```py
import pfp_lgbt

async def example():
  client = pfp_lgbt.Client() 
  flags = await client.flags() 
  for flag in flags:
    print(flag.name)
  await client.close()
```

Create a static image from URL, and manually save the bytes as file
```py
import pfp_lgbt 

async def example():
  client = pfp_lgbt.Client() 
  flag = pfp_lgbt.Flag(name='nb') # Non-binary flag

  # `Result` becomes bytes of result image
  result = await client.imageStatic('https://i.imgur.com/Ypw5pca.png', 'square', 'solid', flag)

  with open('result.png', 'wb') as resfile:
    resfile.write(result)

  await client.close()
```

Create animated image from URL, and save it to output file
```py 
import pfp_lgbt 

async def example():
  client = pfp_lgbt.Client() 
  flag = pfp_lgbt.Flag(name='nb') # Non-binary flag
  _ = await client.imageAnimated('https://i.imgur.com/Ypw5pca.png', 'square', flag, output_file='output.gif')
  client = await client.close()
```
plotly-utils 0.0.3
High level API for plotting via Plotly in Jupyter Notebook

# plotly-utils

High level API for plotting via Plotly in Jupyter Notebook

## Install

```bash
pip install plotly-utils
```

## Using

```python
import plotly_utils
```

## Author

[Geza Kovacs](https://github.com/gkovacs)

## License

MIT