semvec/pypi-packages huggingface dataset:
beneath 1.4.2
Python client and CLI for Beneath (https://beneath.dev/)
License: MIT
Requires Python: >=3.7,<4.0

# Beneath Python Client Library

[![PyPI version](https://img.shields.io/pypi/v/beneath.svg)](https://pypi.org/project/beneath)
[![Docs badge](https://img.shields.io/badge/docs-latest-brightgreen.svg)](https://python.docs.beneath.dev)
[![License](https://img.shields.io/badge/license-MIT-brightgreen.svg)](https://github.com/beneath-hq/beneath/blob/master/clients/LICENSE)
[![Netlify Status](https://api.netlify.com/api/v1/badges/e2dacc5a-486e-4043-9a42-350acb658efc/deploy-status)](https://app.netlify.com/sites/beneath-clients-python/deploys)

This folder contains the source code for the [Beneath](https://beneath.dev) Python library. Here are some useful links:

- [Beneath Docs](https://about.beneath.dev/docs/)
- [Python Client API Reference](https://python.docs.beneath.dev)
- [Reading data tutorial](https://about.beneath.dev/docs/read-data-into-jupyter-notebook/)
- [Writing data tutorial](https://about.beneath.dev/docs/write-data-from-your-app/)

### Installation

To install the Python library (requires Python 3.7 or higher), run:

```
pip3 install --upgrade beneath
```

### Providing feedback

Beneath is just entering public beta, so there's bound to be some rough edges. Bugs, feature requests, suggestions – we'd love to hear about them. [Click here](https://github.com/beneath-hq/beneath/issues) to file an issue.
fithlang 0.2.1
The Fith programming language and 5vm compiler and tools
License: MIT

# The Fith Programming Language
Fith is a simple stack-based programming language that runs on the 5vm OISC. 
Fith is based on the forth programming language, but simplified. Documentation
can be found in the docs directory or at <https://mishaklopukh.github.io/fithlang>.
ludovico 0.0.6
An opinionated DataFrame-to-TeX table generator.
License: MIT
Requires Python: >=3.7

# Ludovico

[![PyPI version](https://badge.fury.io/py/ludovico.svg)](https://badge.fury.io/py/ludovico) ![CI workflow](https://github.com/aitorres/ludovico/actions/workflows/ci.yaml/badge.svg)

An opinionated DataFrame-to-TeX table generator.

## What's this?

Ludovico is a small tool to generate valid TeX tables from data contained within Pandas DataFrames. It's a personal tool that I'm developing to assist myself in the process of generating tables for my Computer Science undergraduate senior thesis, which requires making a considerable amount of tables from data that is currently handled as dataframes.

Note that this codebase is wildly unstable, messy and caffeine-ridden. Contributions welcome!
configerus 3.0.1
Plugin-Based configuration manager
License: MIT
Keywords: test,unittest

# Configerus

Dynamic and abstract configuration management

An extendable plugin based configuration system, which allows abstract config
primitives to be loaded from various prioritized sources.  Config from higher
priority source plugins takes precedence over lower priority, with some simple
deep merging.

Configerus makes config easy by:

1. having a simple construction method
2. allowing config to be pulled from a variatey of sources, such as json/yml in
   file paths, or custom dicts
3. using priorities, configerus allows config override, where some sources can
   override others.
4. deep configuration retrieval is easy using "dot" (one.two.three) notation to
   search in config trees

Configerus offers a few tricks for complex use-cases

1. you can apply simple validation (such as jsonschema) on retrieved config
2. you can use a templating syntax to embed config from one source into another
   at the time of retrieval
3. you can use a templating syntax to direct configeraus to replace a string
   file path with the contents of that file. Some files will be unmarshalled
   for the replacement.

Configerus makes advanced config management possible by:

1. allowing you to define your own sources, formatters and validators and inject
   them at run time
2. allowing you to extend using setuptools entrypoints for advanced functionality
   bootstrapping.

## Usage

Configerus has a bit of steep learning curve in its approach and construction
but it easy to use if it is set up correctly.

A cheap and dirty example:

If you have a folder `./config` that has to config files in it:
- settings.yaml
- values.json
```
import configerus
from configerus.contrib.dict import PLUGIN_ID_SOURCE_DICT
from configerus.contrib.files import PLUGIN_ID_SOURCE_PATH

config = configerus.new_config()
# tell configerus to read files from a path
config.add_source(PLUGIN_ID_SOURCE_PATH).set_path('./config')
# add a dynamic dict to configerus, with a 90/100 priority
config.add_source(PLUGIN_ID_SOURCE_DICT, priority=90).set_data({
    'values': {
        'one': 'overriden from dict'
    }
})

# load all of the settings
settings = config.load('settings')
user_id = settings.get('user.id') # expects that settings had {user: {id: 'some value'}}

# load some overriding values
values = config.load('values')  # loads the value file, but overrides from the dict
assert values.get('one') == 'overriden from dict'
```
MAmino.py 1.2.17
A library to create Amino bots.
License: MIT
Keywords: aminoapps,Mamino-py,amino,amino-bot,narvii,api,python,python3,python3.x,slimakoi,official

[//]: # (**README Improved By ODYSS3EUS**)
[//]: # (Never Underestimate Presentation)

<h1 align="center">
  <br>
  <a href="https://github.com/Slimakoi/Amino.py"><img src="https://cdn.discordapp.com/icons/715911730550800514/8b577d0f9d38614422601a71e91b866d.png?size=512" alt="Amino.py" width="200"></a>
  <br>
  Amino.py
  <br>
</h1>


#### What Is This?
Amino.py Is A Python API For Communicating With Amino Servers Whilst Pretending That You're An App User. This Is Mostly Accomplished By Spoofing Device Configuration Headers. It Is Also For Objectifying And Organizing Amino Response Data, So That Actually Doing Anything Is Easier.

### API Reference
Read The Docs: [Link Here](https://aminopy.readthedocs.io/en/latest/)

#### How do I use this?
You'll Need Python 3 To Use This Library, I Recommend Using Python 3.6 Or Earlier.
To Install It Just Open The Command Line And Type This Command `python3 -m pip install Amino.py`
- **NOTE:** MAKE SURE YOU TYPE `Amino.py` **NOT** `Amino` AS IT WILL INSTALL THE **WRONG** PACKAGE!

#### Pip Not Working?
0. Make Sure Pip Is Installed See: [How To Set-Up Pip](https://nitratine.net/blog/post/how-to-setup-pythons-pip/) 
1. Alternatively Download The API [HERE](https://github.com/Slimakoi/Amino.py/archive/refs/heads/master.zip)
2. Extract The .zip File Either With [Winrar](https://www.win-rar.com/download.html?&L=0) or [7zip](https://www.7-zip.org/download.html)
3. Open The Extracted Folder In An [IDE](https://visualstudio.microsoft.com/downloads/) Of Your Choosing
And Navigate To The Folder Named `Amino.py-master`
4. Select The Python Interpreter
5. Make A New `*.py` File And Start Creating 

[//]: # (*Verbose Instructions For Those Who Want To Start Programming But Don't Know How.)

#### If You Have Any Questions Join Us On Discord

[![DiscordButton](https://bit.ly/32neyjM)](https://rebrand.ly/slimakoi-and-friends)
whiny 0.1.0
Simple validation leveraging Python's descriptor protocol.
License: MIT
Requires Python: >=3.6,<4.0
Keywords: python,validation,data,json

<div align="center">

<h1>Whiny</h1>
<strong>>> <i>Simple validation leveraging Python's descriptor protocol.</i> <<</strong>

&nbsp;

</div>

![img](https://user-images.githubusercontent.com/30027932/122619075-6a87b700-d0b1-11eb-9d6b-355446910cc1.png)



## Status

Under construction...

<div align="center">
<i> ✨ 🍰 ✨ </i>
</div>