| title | Functional programming in Python | ||||||
|---|---|---|---|---|---|---|---|
| timestamp | 2024-06-21 01:30:01 -0700 | ||||||
| author | szabgab | ||||||
| published | true | ||||||
| description | How functional-style programming can be used in Python. | ||||||
| tags |
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| todo |
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{% youtube id="QgehdVJoHUE" %}
Iterables: list, string, range
What does range return?
Taking up less space sys.getsizeof()
for loop with some transformation - from a list of numbers create a new list with the doubles of each value, use a function to calculate them.
map(function, iterable)
first iterate over the results
use list to flatten the map object.
Show the size.
Add a print statement to the to the double function to show how it is printed on every iteration.
Add a condition in the for loop to break out the loop when the number is negative
Instead using a named function, we could use a lambda function.
Two lists (with the same number ov values) use a `map with a lambda function on the two lists:
map(function, iterable_a, iterable_b)
what if one list is shorter? - stop iterating
map to fetch
filter - filter out big numbers
list-comprehension
generator expression
reduce
from functools import reduce
print(reduce(lambda x,y: x+y, numbers))
reduce with default
for f_name, l_name, b_date in zip(fname, lname, born):
print(f"{f_name:7} {l_name:7} was born {b_date}")
