semvec/pypi-packages huggingface dataset:
faker-food 0.1.0
Food related provider for the Python Faker library
License: MIT
Requires Python: >=3.8,<4.0

# faker_food: food provider for Faker

An add-on provider for the Python Faker module to generate random and/or fake data for food-related categories.

## Description

`faker_food` provides food-related fake data for testing purposes.

## Usage
Add as a provider to your Faker instance:
``` python
>>> from faker import Faker
>>> from faker_food import FoodProvider
>>> fake = Faker()
>>> fake.add_provider(FoodProvider)
```
Now you can start to generate data:
```python
>>> fake.dish()
>>> fake.dish_description()
>>> fake.ethnic_category()
>>> fake.fruit()
>>> fake.ingredient()
>>> fake.measurement()
>>> fake.metric_measurement()
>>> fake.measurement_size()
>>> fake.spice()
>>> fake.sushi()
>>> fake.vegetable()
```
## Data Sources

Data for this project was sourced from many different areas. Special thanks to the following sources:
* [faker-ruby/faker](https://github.com/faker-ruby/faker) ([food.yml](https://github.com/faker-ruby/faker/blob/master/lib/locales/en/food.yml))
* [Elixirs/faker](https://github.com/elixirs/faker/) ([food/en.ex](https://github.com/elixirs/faker/blob/master/lib/faker/food/en.ex))
Database-By-Charan 2
Database-By-Charan
License: MIT
Keywords: calculator

# Database-By-Charan

Database-By-Charan is a Python library for Storing Your Data Locally In a File.

## Installation

Use the package manager [pip](https://pypi.org/project/database-by-charan/) to install database-by-charan.

```bash
pip install Database-By-Charan
```

## Usage

```python
import Database_By_Charan as db

#change Data Storing File Name Or Location , Default Location Is Current directory And Name Of File Is 'data.db'
db.file='store.db'

#add Key,value returns data in dictionary format
data=db.add('key','value')
#data ===> {'key':'value'}

#Return Value of key If There In Data Else Returns None
value=db.val('key')

#Delete key Returns Data If Key Is There In Data Else Returns None
db.delkey('key')

#List All The Keys In Data
list=db.listkeys()

#Get All The Data In Dictionary Format
dataindict=db.getdata()
#dataindict ===> {'key':'value','keys':'values'}
```


## License
Copyright 2022 Charan

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.

Change Log
==========

1 (16/02/2022)
-------------------
- First Release

2 (18/02/2022)
-------------------
- Second Release