Mood Board. Back to You: Pretence by @perpetualimaginings FF.net | AO3

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seen from Malaysia
seen from China
seen from Iraq

seen from Australia
seen from Türkiye
seen from China
seen from Japan

seen from United States
seen from France
seen from China
seen from Switzerland
seen from United States
seen from Yemen
seen from China

seen from Japan
seen from Venezuela

seen from Finland
seen from Yemen
seen from Brazil

seen from China
Mood Board. Back to You: Pretence by @perpetualimaginings FF.net | AO3
peter as a dad | p.k
Requested: yes | Can we get a Peter imagine of him as a dad - Anon Word Count: 262 Warnings: Fluffy and too cute Pairing: Peter Kavinsky x female!Reader A/n: The imagine wasn’t working and I tried writing it, so I did a headcanon instead.
You and Peter had two children, twins, boys.
Of course, they had all of Peter’s looks, since your h/c hair and e/c eyes weren’t enough.
And he couldn’t stop bragging about it.
“You’re just jealous they don’t look like you.”
“Oh, shut up.”
He was the softer one rather than you. (considering that you were the softie back in high school)
“Dad, can we get these?” The twins asked.
“Of course.” Peter smiled, “Just don’t tell your mother.”
“Peter, I heard that!”
Tickles, Peter loved tickles.
“D-da-dad, s-to-p.” Ethan your youngest twin cried of laughter.
“Jesus Christ, Peter.” You scowled, “You have to do both twins.” You flipped your magazine to the next page.
Lara Jean also had a girl with her husband called Nate and Peter was constantly shipping Ethan with her.
“Come on, Ethan and Eva would be too cute.”
He was always annoying Brent, your eldest twin.
“Brent. Brent. Brent!” Peter called, “Clean your room.” He laughed.
Yeah, he couldn’t be serious at all.
But the best part about all of this was he never stopped caring about you even if he did have two little goofballs too take care of with you.
Reading .csv files into tablib Dataset() objects
To import data from a CSV file with tablib 0.9.2, all you have to do is read in the csv file as a string. If there is any extra white space, the built-in string.replace() method can take care of it. However, note that multi-word items will lose their white space. Below is the code I typed into bpython:
UPDATE: use re.sub(r'\s+,', '', f) to properly remove trailing white space in food.csv
And here is food.csv: