https://github.com/immmdreza/ipyquery
LINQ for Python
https://github.com/immmdreza/ipyquery
linq python
Last synced: 3 months ago
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LINQ for Python
- Host: GitHub
- URL: https://github.com/immmdreza/ipyquery
- Owner: immmdreza
- License: mit
- Created: 2021-08-10T15:33:08.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-26T06:43:24.000Z (almost 4 years ago)
- Last Synced: 2025-02-20T11:50:02.368Z (4 months ago)
- Topics: linq, python
- Language: Python
- Homepage:
- Size: 14.6 KB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Linq for Python
[](https://github.com/immmdreza/ipyquery/actions/workflows/upload_pypi.yml)
[![pypi-badge]][pypi]
[![license-badge]](LICENSE)
[](https://github.com/immmdreza/ipyquery/actions/workflows/python-app.yml)
## What's that
### _Simple `Language integrated query` for Python_
This package helps you write queries on Iterable objects in python
It makes it easy to deal with iterators.
## Why should i use this?
Well you should not! i mean you don't need such thing at all. python has already fully implemented methods for iterables, but if you used to `Linq` in `C#` ( like me ), you are probably want to use such package.
## How to?
### Well it's super easy
Let's take a look at the examples
```py
from ipyquery import Linq
my_list = Linq([5, 1, 7, 2, 3, 10, 1, 4, 5])
powered_cleaned = my_list.distinct().where(
lambda x: x <= 5).orderby().select(lambda x: x**2).tolist()
print(powered_cleaned)
# [1, 4, 9, 16, 25]
```
You can use methods to do whatever you want with your list just that easy!
## More Examples?
Take a look at [tests](tests/test_linq.py) folder ( There are a lot to explore )
## Currently available methods
> Below you can see all currently available methods, all of these can be used on `Linq` object ( which contains your list )
- `select`
- `select_many`
- `enum_select`
- `tolist`
- `todict`
- `groupby`
- `where`
- `first`
- `first_or_default`
- `any`
- `all`
- `orderby`
- `orderby_desc`
- `max`
- `min`
- `sum`
- `average`
- `distinct`
- `single`
- `single_or_default`
- `add`
- `reverse`
- `remove`
- `remove_all`
- `take` (_new_)
- `skip` (_new_)
_Don't worry will add more methods._
[pypi]: https://pypi.org/project/ipyquery/
[pypi-badge]: https://badge.fury.io/py/ipyquery.svg
[license-badge]: https://img.shields.io/badge/license-MIT-blue.svg