Extends python's list builtin with fun, robust functionality - .NET's Language Integrated Queries (Linq) and more.
Write clean code with powerful syntax.
pip install linqit
Stop using loops, complex conditions, list comprehension and filters.
Doesn't it looks better?
from linqit import List # Go ahead and fill the list with whatever you want... like a list of <Programmer> objects. programmers = List() Avi = type("Avi", (), {}) Entrepreneur = type("Entrepreneur", ('talented'), {}) elon_musk = Entrepreneur(talented=True) # Then play: last_hot_pizza_slice = ( programmers.where(lambda e: e.experience > 15) .except_for(elon_musk) .of_type(Avi) .take(3) # [<Avi>, <Avi>, <Avi>] .select(lambda avi: avi.lunch) # [<Pizza>, <Pizza>, <Pizza>] .where(lambda p: p.is_hot() and p.origin != "Pizza Hut") .last() # <Pizza> .slices.last() # <PizzaSlice> ) # What do you think?
We all use multiple aggregations in our code, while multiple filters/comprehensions are not pythonic at all.
The whole idea is is to use it for nested, multiple filters/modifications :).
Some of the methods might look ridiculous for a single calls, comparing to the regular python syntax.
Here are some use cases:
all
any
concat
contains
distinct
except_for
first
get_by_attr
intersect
last
select
skip
take
where
of_type
sum
min
max
avg
sorted
import List class Person(): def __init__(self, name, age): self.name = name self.age = age def __repr__(self): return f'Person(name="{self.name}", age={self.age})') # Creating a list of people avi, bill, bob, harry = Person('Avi', 23), Person('Bill', 41), Person('Bob', 77), Person('Harry', 55) people = List(avi, bill, bob, harry)
people = people.where(lambda p: p.age > 23) # [<Person name="Bill" age="41">, <Person name="Bob" age="77">, <Person name="Harry" age="55">] people.first() # <Person name="Bill" age="41"> people.last() # <Person name="Harry" age="55"> people.any(lambda p: p.name.lower().startswith('b')) # True people.where(age=55) # [<Person name="Harry" age="55">] people.skip(3).any() # False people.skip(2).first() # <Person name="Harry" age="55"> # Isn't it better than "for", "if", "else", "filter", "map" and list comprehensions in the middle of your code?
new_kids_in_town = [Person('Chris', 18), Person('Danny', 16), Person('John', 17)] people += new_kids_in_town # Also works: people = people.concat(new_kids_in_town) teenagers = people.where(lambda p: 20 >= p.age >= 13) danny = teenagers.first(lambda t: t.name == 'Danny') # <Person name="Danny" age="16"> oldest_teen = teenagers.order_by(lambda t: t.age).last() # <Person name="John" age="17">
names = people.name # ['Avi', 'Bill', 'Bob', 'Harry', 'Chris', 'John'] ages = people.age # [23, 41, 77, 55, 18, 17] teenagers_names = teenagers.name # ['Chris', 'Danny', 'John'] teenagers_names.take(2).except_for(lambda n: n == 'Danny') # ['Chris'] teenagers.age.min # 16 teenagers.age.avg # 17 teenagers.age.max # 18
➜ linqit git:(master) ✗ coverage report Name Stmts Miss Cover ----------------------------------------- linqit/__init__.py 2 0 100% linqit/linq_list.py 101 11 89% tests/__init__.py 0 0 100% tests/test_list.py 203 0 100% ----------------------------------------- TOTAL 306 11 96%