semvec/pypi-packages huggingface dataset:
discord.py-embed-wrapper 0.0.9
A small wrapper for easy creation of discord.py Embeds and sending/editing of Messages including those Embeds
Requires Python: >=3.6

# DISCLAIMER!
### This package is only vaguely tested.

# Installing
### Python 3.6 or higher is required
other than that it's just as simple as
```
pip install discord.py-embed-wrapper
```
```python
from embed_wrapper import *
```

# Wrapper Classes - Examples/Usage
### EmbedField
to create an `EmbedField` object
```python
wrapped_field = EmbedField(name=field_name, value=field_value, inline=field_inline)
```

and then use it in the initialisation of an `EmbedWrapper`
### EmbedWrapper
```python
embed_wrapper = EmbedWrapper(
    author_name=author_name, author_url=author_url, author_icon_url=author_icon_url,
    embed_type=embed_type, title=title, url=url, color=color, description=description,
    timestamp=timestamp,
    footer_text=footer_text, footer_icon_url=footer_icon_url,
    image_url=image_url, thumbnail_url=thumbnail_url,
    fields=[wrapped_field]
)
```
to finalize and instantiate the embed from the wrapper call
```python
embed = embed_wrapper.embed
```

# Helper Functions - Examples/Usage
### embeds_from_message
Creates a List of Embeds from a give Message. Returns None if the given Message didn't have any Embeds.
```python
def embeds_from_message(message: Message) -> Optional[List[Embed]]:
    ...

embeds = embeds_from_message(message=message)
```
### send_embed_message
Sends a Message including an Embed to either a Guild TextChannel or a DMChannel and returns the sent Message.
```python
async def send_embed_message(
        embed: Embed,
        invoking_message: Message,
        as_reply: bool = False,
        as_dm: bool = False,
        dm_channel: DMChannel = None,
        pin: bool = False,
        message_content: str = "",
        reactions: List[str] = None,
        mentions: List[Union[User, Member, Role]] = None,
        append_mentions: bool = False
) -> Message:
...
```
simplest usage
```python
embed_message = await send_embed_message(embed=embed, invoking_message=message)
```
Sends an Embed Message only containing the embed in the same channel it was invoked. 
### edit_embed_message
Edits a given Embed Message with a new Embed and optionally new Message Content and returns the edited Message. Pass None as the Embed to remove it.
```python
async def edit_embed_message(
        embed: Embed,
        message: Message,
        message_content: Optional[str],
) -> Message:
...
```
usage
```python
embed_message = await edit_embed_message(embed=embed, message=embed_message)
```
traditional-ml 0.0.0b0
A traditional machine learning library
Requires Python: >=3.6

# Traditional_ML
[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)

This is a python package that contains various traditional machine learning algorithms. 

## How to use this package
To see, how to use this python package, please refer to the Examples.ipynb notebook 
inside this repository. That notebook contains solution of some example projects using
this package.

## Requirements
To install this package, user needs to install the following things at first-
  - numpy==1.18.2
  - pandas==1.0.3
  - matplotlib==3.3.4

## Installation
coming soon...