semvec/pypi-packages huggingface dataset:
asana-typed 0.1.2a1
Asana typed API Objects
License: MIT
Requires Python: >=3.6
Keywords: asana api typed python-asana

Typed Asana API
===============

Type Python Objects to complement
`python-asana <https://github.com/Asana/python-asana>`__

Inspiration
-----------

In a age of IDEs with code completion, I found python-asana lacking in
their implementation of data structures regarding the api. This module
is a WIP and does not implement all known objects as of yet.

| Implemented API Objects:
| - [ ] Attachments
| - [ ] Custom Field Settings
| - [ ] Custom Fields
| - [ ] Event
| - [ ] Organization Export
| - [ ] Project Membership
| - [x] Project Statue
| - [x] Project
| - [ ] Section
| - [ ] Story
| - [x] Tag
| - [x] Task
| - [ ] Teams
| - [x] User
| - [ ] Webhook
| - [x] WorkSpace

Acknowledgements
----------------

Thanks to the creators over at `quicktype <https://app.quicktype.io/>`__
I was able to save some time from having to type for each object or make
a custom generator that uses Asana’s API Meta Data. Their API Meta Data
doesn’t cover all types for list, hence why i went this route.
netty-finder 1.0.0
This is a python verison of the original netty-finder that was written in JavaScript,
License: MIT

# NettyFinder :rocket:

This is a python verison of the original netty-finder that was written in JavaScript

# Installation

## GitHub

```bash
$ git clone https://github.com/CITGuru/netty-finder-python.git
$ cd netty-finder-python
$ python setup.py install
```

## PyPI

```bash
$ pip install netty_finder
```

# Usage

```python

from netty_finder import Network

detector = Network("08182315466")
network_name = detector.get_network_name()
print(network_name)

# >>> 9mobile

```

# About Author

This was originally built by Bolaji Ayodeji so all rights goes to him, I only interpreted the javascript code to python

# Contribution
 
For now, I dont accept contributions except its from the javascript netty_finder, so I suggest you contribute there. Any changes from there will be added to the python version