Today I learned that `True`

is equal to 1 and `False`

is equal to 0.

`int`

In Python, Booleans are a subclass of integers:

```
>>> isinstance(True, int)
True
>>> isinstance(False, int)
```

I've known this for a long time, and this even allows you to write things like

```
>>> True + True # 1 + 1
2
>>> True * False # 1 * 0
0
```

In fact, I tweeted about this recently.

What I didn't know is that `True`

and `1`

are equal,
much like `False`

and `0`

are equal:

In lots of programming languages 0 is False and 1 is True. For example if you say x = 0, and check if x == True it will return False, whereas if x = 1 it will return True.

— Matthew 🍵 (@uxai_net) February 8, 2022

Python just giving you some extra easter eggs to play with 😄

Isn't that interesting?

In hindsight, I shouldn't be so surprised... After all, Booleans can be converted to integers:

```
>>> int(True)
1
>>> int(False)
0
```

and the Truthy and Falsy value of integers means that integers can also be converted to Booleans:

```
>>> bool(1)
True
>>> bool(0)
False
# And other integers (and floats) can be converted to `True`:
>>> bool(73)
True
>>> bool(0.5)
True
```

So, these two conversions, plus the fact that `bool`

is a subclass of `int`

makes this fact a bit more understandable...
But still!

```
>>> True == 1
True
>>> False == 0
True
```

As to whether `True`

and `False`

being interpretable as integers is useful or not: it is.

Booleans can be interpreted as integers, for example, to count objects that satisfy a given property, or to flatten some conditions.

I recorded a short YouTube video on the subject, that you can watch here.

In that video, I explain how we can use Booleans to count things; for example, the total amount of numbers in the list below that are divisible by 4:

```
nums = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
sum(not num % 4 for num in nums)
```

That's it for now! Stay tuned and I'll see you around!

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