Sir, this is the Tavern of Wendy.
Sir, this is the Tavern of Wendy.
Pour one out for Sir Kitty, Knight of the Sofa, Protector of the Treats, Lord of the Snuggles!
From now on, this is how I assume one plays cricket.
Definitely one of the best Hulurama episodes.
You see, killbots have a preset kill limit. Knowing their weakness, I sent wave after wave of my own men at them until they reached their limit and shut down. Dmitry, show them the medal I won.
He has a Masters degree in communication. I remember him talking about taking classes for it way back in the day.
This reminds me of one of the fake cover stories they made up for the Manhattan project wherein they stated they were trying to make a sub that could submerge in the Rio Grande.
I’m not apologizing for keeping y’all in my delusions.
But if it’s messing with the data, feel free to drop my poll vote. I’m the one who did S.Car for 1 to 24 and then did the other USC for 25.
This sounds like the peasant rail gun with extra steps.
Basically he is an old man/ software engineer who’s famous for his philosophy of coding.
I know I sound like a corporate shill, but check out Cleveland Kitchen brand sauerkraut. It’s not as good as homemade, but it’s worlds better than that nuclear waste found in the questionable meat aisle of the grocery store or the cans.
Disclaimer: I would only call my skill level as intermediate and would yield to any more senior developer here.
It’s not a hard and fast rule, but you can usually write it without the else and in fewer lines.
So take for a very contrived example a function that needs to return a non boolean value for a boolean test. A use case could be if you need to figure out a string argument for another function, such as you need to determine if you need to keep the “first” or “last” duplicate in a dataframe (I’m thinking about pandas’s df.drop_dupliactes method).
Continuing with the drop_duplicate thing let’s say we have a dataframe we need to de-duplicate but for some reason if the overall length of the dataframe is even, we need to keep the first duplicate and if the dataframe length is odd we keep the last. I don’t know why we would, but that was a very particular request from the customer and we need the money to buy more Warhammer figurines.
import pandas as pd
# With else statement
def foo(x: int) -> str:
if x%2>0:
return "last"
else:
return "first"
# No else statement, shorter.
def foo(x: int) -> str:
if x%2>0:
return "last"
return "first"
#import dataframe, deduplicate
df = pd.read_csv("c:\\path\\to\\data.csv")
dedup = df.drop_duplicates(keep=foo(len(df))
For following good practices, I highly recommend using a linter like ruff. I’ve learned a lot from it’s explanations on why my code is bad.
Also I have tried to avoid using else statements.
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Sweet thanks for your opinion.
How was season 1? Is this worth picking up?
Edit: Watched season 1. I liked it. Am excited for season 2
And cats