semvec/pypi-packages huggingface dataset:
ecourbissp 0.0.1
Get São Paulo Eco urbis schedules from Official Site

Eco Urbis SP
==========================================

* Author: Julio Blanco


Version: 0.0.1

Description
-------------------------
Code to get a simple dictionary with lines and statues from the Official web of Eco Urbis in São Paulo



License
---------

Copyright 2019  Julio Manuel Blanco Pérez

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
jpsy 0.1.2
Enforcing Language Naming Conventions

# jpsy
Enforcing Language Naming Conventions

## What is it?
jpsy (pronounced like Gypsy), is a tool for naming convention purists, who don't like seeing other languages' naming 
conventions messing around their code's look and feel.

It comes in handy when your python code handles JSONs created in a JavaScript component, 
or just when you have people in your project who don't play by the book when it comes to naming conventions. 

## Installation
`pip install jpsy`

or

`pip install -e git+git://github.com/RomAviad/jpsy.git`

## What's with the name?
Obviously, it's a mash-up between JS and Py(thon).

## Usage Example
```python
from jpsy import pythonify, jsify

sample = {"abc_pep8": 123, "dictKey": {"PascalCase": "whatever", "camelCaseLongKEY": "woot"}}

pythonified = pythonify(sample)
print(pythonified)
# >>> {'abc_pep8': 123, 'dict_key': {'pascal_case': 'whatever', 'camel_case_long_key': 'woot'}}

jsified = jsify(sample)
print(jsified)
# >>> {'abcPep8': 123, 'dictKey': {'PascalCase': 'whatever', 'camelCaseLongKEY': 'woot'}}


jsified_python = jsify(pythonified)
print(jsified_python)
# >>> {'abcPep8': 123, 'dictKey': {'pascalCase': 'whatever', 'camelCaseLongKey': 'woot'}}

```