Python any all | functions

In Python, the `any()` and `all()` functions are built-in functions that operate on iterables such as lists, tuples, or sets. They provide a concise way to check the truthiness of multiple elements within an iterable. Here’s a breakdown of each function:

`any(iterable)`: The `any()` function returns `True` if at least one element in the iterable is considered truthy, and `False` if all elements are considered falsy or the iterable is empty. It stops iterating through the elements as soon as it encounters the first truthy element.

``````numbers = [0, 1, 2, 3, 4]
result = any(numbers)
print(result)  # Output: True
``````

`all(iterable)`: The `all()` function returns `True` if all elements in the iterable are considered truthy, and `False` if any element is considered falsy or the iterable is empty. It stops iterating through the elements as soon as it encounters the first falsy element.

``````numbers = [1, 2, 3, 4]
result = all(numbers)
print(result)  # Output: True
``````

Python any all example

Here’s an example that combines the `any()` and `all()` functions in Python:

``````numbers = [2, 4, 6, 8, 9]

# Check if any number is divisible by 2 (even)
# #and if all numbers are greater than 0
result_any = any(num % 2 == 0 for num in numbers)
result_all = all(num > 0 for num in numbers)

print(result_any)
print(result_all)
``````

Output:

In the above example, we have a list of numbers. We use `any()` to check if any number in the list is divisible by 2 (even) by using a generator expression `(num % 2 == 0 for num in numbers)`. Since there are even numbers in the list, the `result_any` is `True`.

Next, we use `all()` to check if all numbers in the list are greater than 0 by using the generator expression `(num > 0 for num in numbers)`. Since there is a number (`9`) that is not greater than 0, the `result_all` is `False`.

Note: IDE: PyCharm 2021.3.3 (Community Edition)

Windows 10

Python 3.10.1

All Python Examples are in Python 3, so Maybe its different from python 2 or upgraded versions.