Machine learning engineer in Silicon Valley! Formerly a particle physicist at CERN and alumni of Insight. He/Him https://alexgude.com @alex_gude@fediscience.org
![A screenshot of video game dialogue text on a dark background. The word "RHETORIC" is in light blue, the main body text is in white, and the numbered choices at the bottom are in a reddish-orange color.
RHETORIC [Heroic: Failure] – Alright, here we go. We're devoting all your available brain cells to coming up with a question about communism. Scratch that, to coming up with *the* question about communism, the alpha and omega of communism questions, and that question is:
1. - (Whisper.) "Are women bourgeois?"
2. - Oh god, that's bad. Surely I can think of something better.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:y5qiqqtzjmlwggzuttldivxq/bafkreigagowiikmgef5fsf2zjym5sazpfzmfne46k74nxw75gpot6n4eta)
![A screen shot of my webpages showing a nice dark color scheme for Python code.
Text of the screenshot:
## Playing Cards
Given a list of playing cards as tuples, like so:
```python
cards = [
("Spades", 14),
("Diamonds", 13),
("Hearts", 2),
("Spades", 8),
("Clubs", 11),
... # etc.
]
```
We want to convert them to `PlayingCard` objects as [defined in my previous
post on `enums`][enums]. To do this, we need a function to convert a tuple into the
class:
[enums]: /blog/python-patterns-enum/#playing-cards-with-enums
```python
def tuple_to_card(card_tuple):
suit, rank = card_tuple
card = PlayingCard(
CardSuit(suit),
CardRank(rank),
)
return card
```
This makes it easy to parse the list with a quick loop:
```python
new_cards = []
for card_tuple in cards:
new_card = tuple_to_card(card_tuple)
new_cards.append(new_card)
```
And we can even filter the cards so that we only keep hearts:
```python
just_hearts = []
for card_tuple in cards:
new_card = tuple_to_card(card_tuple)
if new_card.suit is CardSuit.HEARTS:
just_hearts.append(new_card)
```](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:y5qiqqtzjmlwggzuttldivxq/bafkreidc3fuj5vgcuqkf5rcy4xgt2g2vzvxm635fhfnzu3jk44uicrnimy)
Machine learning engineer in Silicon Valley! Formerly a particle physicist at CERN and alumni of Insight. He/Him https://alexgude.com @alex_gude@fediscience.org