funcy_functional_tools_collection_filter_compose_sequence.py

1from funcy import project, take, first, second, walk_values, compose
2
3# Working with collections
4data = [{'id': 1, 'name': 'John', 'admin': True},
5        {'id': 2, 'name': 'Jane', 'admin': False}]
6
7# Extract specific keys from a list of dicts
8names = [project(d, ['id', 'name']) for d in data]
9
10# Sequence manipulation
11nums = range(10)
12first_three = take(3, nums) # [0, 1, 2]
13head = first(nums)          # 0
14item = second(nums)         # 1
15
16# Functional transformations
17# Transform dictionary values
18prices = {'apple': 1.5, 'orange': 2.0}
19discounted = walk_values(lambda x: x * 0.9, prices)
20
21# Function composition
22double = lambda x: x * 2
23inc = lambda x: x + 1
24pipeline = compose(double, inc)
25result = pipeline(5) # (5 + 1) * 2 = 12
26
27print(f"Names: {names}")
28print(f"Discounted: {discounted}")
29print(f"Result: {result}")