semvec/pypi-packages huggingface dataset:
instahashtag 1.0.0
Unofficial Python wrapper for DisplayPurposes.com.
License: MIT
Keywords: instagram,displaypurposes,wrapper

# 📸 InstaHashtag

<p align="center">

  <a href="https://github.com/column-street/InstaHashtag/actions?query=workflow%3ABuild">
    <img src="https://github.com/column-street/InstaHashtag/workflows/Build/badge.svg?branch=master">
  </a>

  <a href="https://column-street.github.io/InstaHashtag/">
    <img src="https://github.com/column-street/InstaHashtag/workflows/Docs/badge.svg?branch=master">
  </a>

  <a href="https://coveralls.io/github/column-street/InstaHashtag?branch=master">
    <img src="https://coveralls.io/repos/github/column-street/InstaHashtag/badge.svg?branch=master">
  </a>

  <a href="https://opensource.org/licenses/MIT">
    <img src="https://img.shields.io/badge/License-MIT-yellow.svg">
  </a>
</p>


Unofficial Python API wrapper for [DisplayPurposes](https://displaypurposes.com/).

## Installing

```
pip install instahashtag
```

## Documentation

Documentation for this module can be found [here](https://column-street.github.io/InstaHashtag/).

## Use

This library is built as a layer-based module and may be used in different ways depending on the use 
case of the user. In this README file only the `wrapper` module is documented, but for further
use cases please check out the docs above.

### Wrapper

A complete Python wrapper around the API.

```python
from instahashtag import Tag, Graph, Maps

tag = Tag(hashtag="instagram")
graph = Graph(hashtag="instagram")
maps = Maps(
    x1=-80.48712034709753,
    y1=25.750749758162012,
    x2=-79.82794065959753,
    y2=25.854604964203453,
    zoom=12,
)
```

Check out the documentation above to understand how the objects behave, and what attributes are accessible.
weixin-open-api 0.0.5
微信开放接口封装库
License: MIT
Keywords: w,e,i,x,i,n, ,a,p,i

# weixin-open-api

![PyPI](https://img.shields.io/pypi/v/weixin-open-api.svg)
![PyPI - Downloads](https://img.shields.io/pypi/dm/weixin-open-api)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/weixin-open-api)
![PyPI - License](https://img.shields.io/pypi/l/weixin-open-api)


微信开放部分接口Python封装

Github: https://github.com/mouday/weixin-open-api

## 已实现：

1. 微信分享必要参数



## install
 
```bash
pip install weixin-open-api
```

`access_token` 默认使用了 [mo-cache](https://pypi.org/project/mo-cache/) 的FileCache文件缓存

## demo

```python
from weixin_open_api import WeixinOpenClient


class CustomWeixinOpenClient(WeixinOpenClient):
    appid = ''
    
    secret = ''

if __name__ == '__main__':
    client = CustomWeixinOpenClient()
    data = client.get_share_params(url='https://www.baidu.cn/app')
    print(data)
```
django-chatwork 0.6.0
Chatwork integration for Django
License: MIT

===============
django-chatwork
===============

.. image:: https://travis-ci.org/kacchan822/django-chatwork.svg?branch=master
    :target: https://travis-ci.org/kacchan822/django-chatwork
    :alt: Travis CI

.. image:: https://coveralls.io/repos/github/kacchan822/django-chatwork/badge.svg?branch=master
    :target: https://coveralls.io/github/kacchan822/django-chatwork?branch=master
    :alt: COVERALLS

.. image:: https://codeclimate.com/github/kacchan822/django-chatwork/badges/gpa.svg
   :target: https://codeclimate.com/github/kacchan822/django-chatwork
   :alt: Code Climate

.. image:: https://codeclimate.com/github/kacchan822/django-chatwork/badges/issue_count.svg
   :target: https://codeclimate.com/github/kacchan822/django-chatwork
   :alt: Issue Count

.. image:: https://img.shields.io/badge/license-MIT-blue.svg
   :target: https://raw.githubusercontent.com/kacchan822/django-chatwork/master/LICENSE
   :alt: LICENSE MIT


**django-chatwork** is Chatwork integration for Django.


Requirement
============

* Python >= 3.5
* Django >= 1.11


Quick start
============

1. Install by pip ::

    # instal from PyPI
    pip install django-chatwork

    # install from github master branch
    pip install -U https://github.com/kacchan822/django-chatwork/archive/master.tar.gz


2. Add "chatwork" to INSTALLED_APPS ::

    INSTALLED_APPS = [
        ...
        'chatwork',
        ...
    ]


3. Set Valuse in settings ::

    # You have to set this
    CHATWORK_API_TOKEN = 'youre api token'

    # You don't have to usually set this
    CHATWORK_API_ENDPOINT_BASE =  'https://api.chatwork.com/v2' # default
    CHATWORK_API_BACKEND = 'chatwork.backends.http.UrllibBackend' # default if DEBUG = False
                                                                  # if DEBUG = True, the value set 'chatwork.backends.dummy.DummyBackend' as default
    CHATWORK_API_FAIL_SILENTLY = None   # default


4. Usage ::

    from chatwork import send_message

    ...

    # send message to room_id = 123456
    send_chatwork('message text hear', 123456)

    # send message to room_id = 123456 with [To:] for all members
    send_chatwork('message text hear', 123456, to_all=True)

    # send message to room_id = 123456 with INFO format
    # INFO format contains [To:] for all users
    send_chatwork('message text hear', 123456, title='info title')

    ...


Acknowledgements
=================
dicomsort 3.0.0
A DICOM Sorting Utility
License: MIT
Keywords: dicom sorting images

# DICOM Sort

[![CircleCI](https://circleci.com/gh/dicomsort/dicomsort.svg?style=svg)](https://circleci.com/gh/dicomsort/dicomsort)
[![Maintainability](https://api.codeclimate.com/v1/badges/9814e4a5f1881ec25922/maintainability)](https://codeclimate.com/github/dicomsort/dicomsort/maintainability)
[![Test Coverage](https://api.codeclimate.com/v1/badges/9814e4a5f1881ec25922/test_coverage)](https://codeclimate.com/github/dicomsort/dicomsort/test_coverage)
[![PyPi version](https://pypip.in/v/dicomsort/badge.png)](https://pypi.org/project/dicomsort/)

DICOM Sort is a utility that takes a series of DICOM images stored within an
arbitrary directory structure and sorts them into a directory tree based upon
the value of selected DICOM fields.

## Installation

### Binary Installers

Binary distributions for Windows and Mac OS are available at [the project
website](https://dicomsort.com).

### Installation via `pip`

DICOM Sort is available as [`dicomsort`](https://pypi.org/project/dicomsort/) on
the [Python Package Index (pypi)](https://pypi.org) and can therefore easily be
installed with [`pip`](https://pypi.org/project/pip/).

```bash
pip install dicomsort
```

After installation, DICOM Sort can be launched with simply the `dicomsort` command line script:

```bash
dicomsort
```

### Installation via `setuptools`

To install from source, first clone the git repository

```bash
git clone https://github.com/suever/dicomsort.git
```

Install the `dicomsort` script using the project's `setup.py` file. This will automatically install all project dependencies

```bash
cd dicomsort
python setup.py install
```

## Development

For running tests, you will want to install the required development dependencies using the provided `requirements.txt` file:

```bash
pip install -r requirements.txt
```

For running tests, we use `pytest`. These can be run reproducibly using the provided `Makefile`

```bash
make test
```

## Contributing
If you have any questions or would like to request a feature, feel free to 
provide feedback via the [Github Issues](https://github.com/suever/dicomsort/issues) page.

## License
This software is licensed under the MIT License
Copyright (C) 2011 - 2021  Jonathan Suever