Linqit !

A list-like type with fun functionality.
Extents the builtin list with .NET's Language Intagrated Queries (Linq) and more.
Write clean code with powerful syntax. Forget about messy loops, conditions and list comprehensions.

Methods:

all
any
concat
contains
distinct
except_for
first
get_by_attr
intersect
last
select
skip
take
where
of_type

Properties:

sum
min
max
avg
sorted

Creating a list of people

import List

class Person():
    def __init__(self, name, age):
        self.name = name
        self.age = age

    def __repr__(self):
        return '<Person name="{}" age="{}">'.format(self.name, 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)

LINQ selections, cleaner code

old_people = people.where(lambda p: p.age > 40)                 # [<Person name="Bill" age="41">, <Person name="Bob" age="77">, <Person name="Harry" age="55">]
old_people.first()                                              # <Person name="Bill" age="41">
old_people.last()                                               # <Person name="Harry" age="55">
old_people.any(lambda p: p.name.lower().startswith('b'))        # True
old_people.where(lambda p: p.age == 55)                         # [<Person name="Harry" age="55">]
old_people.skip(3).any()                                        # False
old_people.skip(2).first()                                      # <Person name="Harry" age="55">

# Isn't it better then "for", "if", "else", "filter", "map" and list comprehensions in the middle of your code?

More selections

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.last()                                  # <Person name="Chris" age="18">

Dynamic attributes

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