semvec/pypi-packages huggingface dataset:
telemdo 1.24.0
Full-featured Telegram client library for Python 3
License: MIT
Requires Python: >=3.7
Keywords: telegram api chat client library messaging mtproto

Telethon
========
.. epigraph::

  ⭐️ Thanks **everyone** who has starred the project, it means a lot!

|logo| **Telethon** is an asyncio_ **Python 3**
MTProto_ library to interact with Telegram_'s API
as a user or through a bot account (bot API alternative).

.. important::

    If you have code using Telethon before its 1.0 version, you must
    read `Compatibility and Convenience`_ to learn how to migrate.

What is this?
-------------

Telegram is a popular messaging application. This library is meant
to make it easy for you to write Python programs that can interact
with Telegram. Think of it as a wrapper that has already done the
heavy job for you, so you can focus on developing an application.


Installing
----------

.. code-block:: sh

  pip3 install telethon


Creating a client
-----------------

.. code-block:: python

    import asyncio
    from telethon import TelegramClient, events

    # These example values won't work. You must get your own api_id and
    # api_hash from https://my.telegram.org, under API Development.
    api_id = 12345
    api_hash = '0123456789abcdef0123456789abcdef'

    async def main():
      client = TelegramClient('session_name', api_id, api_hash)
      await client.start()

    asyncio.run(main())


Doing stuff
-----------

.. code-block:: python

    print((await client.get_me()).stringify())

    await client.send_message('username', 'Hello! Talking to you from Telethon')
    await client.send_file('username', '/home/myself/Pictures/holidays.jpg')

    await client.download_profile_photo('me')
    messages = await client.get_messages('username')
    await messages[0].download_media()

    @client.on(events.NewMessage(pattern='(?i)hi|hello'))
    async def handler(event):
        await event.respond('Hey!')


Next steps
----------

Do you like how Telethon looks? Check out `Read The Docs`_ for a more
in-depth explanation, with examples, troubleshooting issues, and more
useful information.

.. _asyncio: https://docs.python.org/3/library/asyncio.html
.. _MTProto: https://core.telegram.org/mtproto
.. _Telegram: https://telegram.org
.. _Compatibility and Convenience: https://docs.telethon.dev/en/stable/misc/compatibility-and-convenience.html
.. _Read The Docs: https://docs.telethon.dev

.. |logo| image:: logo.svg
    :width: 24pt
    :height: 24pt
model-insight 0.71
A package for learning and teaching mathematical modeling
License: MIT
Keywords: mathematical modeling

# Model-Insight

Description
============

Model-insight is a Python third-party library that loads commonly used mathematical modeling data sets and performs modeling processing (such as evaluation problems, simulation problems, etc.).
At the same time, we can also learn the related knowledge of mathematical modeling.

Installing
============

Use  `pip`

    >>>pip install model-insight==0.4.2

Load Datasets
=============
    >>>from model_insight.load_datasets import load_#
    
Several datasets are availiable:
- Evaluation
    - Battery
    - Roller coaster
    - Aircraft
- Optimization
    - oil
    - swim
    - portfolio
- Change
    - Population of U.S.
    - Shanghai COVID cases
- Prediction
    - Restaurant sales
    - Mead lake
    - Titanic
- Explaination
    - Adult salary

Multi-criteria Decision Making
==============================
Model-Insight provides some functions to preprocess data, give weights, and do comprehensive evaluation.
For example,

    >>>from model_insight.mcdm_functions import ahp
    >>>judgement_matrix = np.array([[1,2,3],[1/2,1,4],[1/3,1/4,1]])
    >>>ahp_weights = ahp(judgement_matrix)
    >>>ahp_weights
    >>>The Max Eigenvalue is  (3.1078473338549757+0j)
    array([0.51713362+0.j, 0.35856042+0.j, 0.12430596+0.j])

Welcome to cooperation
======================
If you are interested in this project, you can contact me via learningmm@163.com.