semvec/pypi-packages huggingface dataset:
py365 0.1.2
Python Library for App Development over MS Graph365
License: MIT
Requires Python: >=3.6

# py365
## What is it?
Python Library for App Development over MS Graph365

The concept is simple - look at the API docs and "copy" same structure.   
While not very "pythonic" (I would guess - what does it mean anyway?),   
it is easy to follow and go along:
Just open the [official API reference](https://docs.microsoft.com/en-us/graph/api/overview?view=graph-rest-1.0)

## What is it good for?
If you are using any of MS services you are getting to the point that automating things via code is the best way to unleash it true massive power.

While you can use .net core and other services, scripting with python is still very convenient if all you need is just small or serveless scripts.

### Target Python - 3.6
Since this is the version used by Azure serverless engines.

## How to use it?
```bash
$ pip install py365
```

```python
# Graph365 is the main access point to the MS Graph
# rsc is the graph resources we use to feed the graph API
from py365 import Graph365, rsc

#Connect to the tenant
g365 = Graph365(appId=config['app_id'],
                appSecret=config['app_secret'],
                tenantId=config['tenant_id']) 

# Create new user 
# API doc: https://docs.microsoft.com/en-us/graph/api/user-post-users?view=graph-rest-1.0
user = rsc.User(displayName="Steve J", userPrincipalName="steve.j@consotco.com")
g365.users.createUser(newUser=user)

```

## API implemented
- [x] Create User (Partially)
- [x] Get User (Partially)
- [x] Update user (Partially)
- [X] Send email
- [X] Guest Invite

## What is next? (ATM)
- [ ] Modify online excel
- [ ] Get Planner tasks
- [ ] Add unit testings
PyAudit 1.0.3
Python Data Audit library
License: MIT

# PyAudit: Python Data Audit 

![logo](https://github.com/runawayhorse001/PyAudit/blob/master/doc/images/logo.png)

![Pypi Version](https://img.shields.io/pypi/v/PyAudit.svg)
![Build Status](https://travis-ci.org/rtfd/PyAudit.svg?branch=master)
![License](https://img.shields.io/pypi/l/PyAudit.svg)

This is our Python Data Audit library repositories.
The ``API`` can be found at: https://runawayhorse001.github.io/PyAudit. 
If you want to colne and install it, you can use 

You can install the PyAudit from [PyPI](https://pypi.org/project/PyAudit):

    pip install PyAudit

Or you can istall the PyAudit from the repo:

#### 1. clone

	git clone https://github.com/runawayhorse001/PyAudit.git

#### 2. install 

	cd PyAudit
	pip install -r requirements.txt 
	python setup.py install

#### 3. test 

	cd PyAudit/test
	python test.py

#### 4. uninstall 

	pip uninstall PyAudit
PyOpenGL-toolbox 2.3.0
PyOpenGL toolbox
License: MIT

pyOpenGL-Toolbox
==============

| Written for both Python 2.X and 3.X

Source repo on `github <https://github.com/ppizarror/pyopengl-toolbox>`__

Introduction
------------

PyOpenGL toolbox that contains several functions to init OpenGL, create models,
load textures, create vectors, load OBJ, GEMH files, etc.

Install Instructions
--------------------

pyOpenGL-Toolbox can now be downloaded via pip. Simply run pip install
pyOpenGL-toolbox.

Dependencies
~~~~~~~~~~~~

This library is dependant on the following

-  `Pygame <http://www.pygame.org/download.shtml>`__
-  numpy
-  Pillow

Contributors
------------

Ideas and contributions are always welcome. Any found bugs or
enhancement suggestions should be posted in the issues tab.

Aditional Information
---------------------

Licensing
~~~~~~~~~

| This project is distributed using the MIT license.
| For more licensing information read LICENSE on github.

Contact Info:
~~~~~~~~~~~~~

This project does not have a mailing list and so the issues tab should
be the first point of contact if wishing to discuss the project. If you
have questions that you do not feel are relavent to the issues tab or
just want to let me know what you think about the library, feel free to
email me.

Email: pablo.pizarro@ing.uchile.cl