pyfunctional_seq_map_filter_reduce_basic_transformations.py

1from functional import seq
2
3# Example 1: Basic transformations
4result = seq(1, 2, 3, 4)\
5    .map(lambda x: x * 2)\
6    .filter(lambda x: x > 4)\
7    .reduce(lambda x, y: x + y)
8
9print(result) # Output: 14 (6 + 8)
10
11# Example 2: Working with lists and complex operations
12data = [1, 2, 3, 4, 5]
13avg = seq(data).average()
14print(avg) # Output: 3.0
15
16# Example 3: List comprehensions style
17words = ["apple", "banana", "cherry"]
18upper_words = seq(words).map(str.upper).to_list()
19print(upper_words) # Output: ['APPLE', 'BANANA', 'CHERRY']