pydash.py

# ref: https://pydash.readthedocs.io/en/latest/
import pydash

# Arrays
pydash.flatten([1, 2, [3, [4, 5, [6, 7]]]])
# [1, 2, 3, [4, 5, [6, 7]]]

pydash.flatten_deep([1, 2, [3, [4, 5, [6, 7]]]])
# [1, 2, 3, 4, 5, 6, 7]

# Collections
pydash.map_([{'name': 'moe', 'age': 40}, {'name': 'larry', 'age': 50}], 'name')
# ['moe', 'larry']

# Functions
curried = pydash.curry(lambda a, b, c: a + b + c)
curried(1, 2)(3)
# 6

# Objects
pydash.omit({'name': 'moe', 'age': 40}, 'age')
# {'name': 'moe'}

# Utilities
pydash.times(3, lambda index: index)
# [0, 1, 2]

# Chaining
pydash.chain([1, 2, 3, 4]).without(2, 3).reject(lambda x: x > 1).value()
# [1]