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#pandas

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datum (n=1)

TLDR: Pandas are dope fiends!?

TIL that Pandas aren't born loving bamboo, but that it's an addiction with a dopamine component.

Those cute furry pandas are actually carnivores.

But they sit on their butts all day eating plants and getting high instead of chasing animals.

"some of the bamboo-derived miRNAs were found to regulate dopamine pathways, driving food motivation and the reward system linked to it. So if eating bamboo is a pleasurable, satisfying experience for a panda, it's more likely to be solely driven to seek out this trigger." newatlas.com/biology/pandas-ba

New Atlas · Pandas "tricked" into becoming the world's biggest bamboo fansBuilt to be carnivorous, giant pandas spend up to 16 hours a day on their backsides eating bamboo. But contrary to all the panda jokes, it's not because they're lazy or too dumb to know better. It's far more fascinating – and it may help humans, too.
#drugs#dopamine#pandas
Public
Lukas VFN 🇪🇺

Discovery reveals giant flying squirrel once soared over Southern Appalachia
phys.org/news/2025-02-discover paper: link.springer.com/article/10.1

"A giant #FlyingSquirrel—about the size of today's house cats—once soared through the skies over what is now Southern #Appalachia, gliding above #rhinos, #mastodons and red #pandas... closest relatives are the giant #FlyingSquirrels in Japan, China and Indonesia... somehow they crossed the Bering Land Bridge alongside other #mammals about 5 million years ago."

Illustration of a flying squirrel in air
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Tommi 🤯

Mastodon.social alt text analysis report! 🧐

Me and my friend Cristal just published a report on image description usage on mastodon.social, as a group project for the Introduction to Data Science course of the Artificial Intelligence and Sustainable Societies Erasmus Mundus Joint Master program.

Thoughts and feedback are welcome 💕

A huge thanks to @stefan for publishing the dataset on which we based our analysis!

NOTE: We are absolutely aware that the report has very little actual relevance, as the dataset contains a super limited amount of posts from one instance only. It was mainly an experimentation to test our data analysis skills.

GitHubGitHub - alterism/mastodon-alt-text: Experimenting with mastodon.social client alt-text usage dataset.Experimenting with mastodon.social client alt-text usage dataset. - alterism/mastodon-alt-text
#a11ty#accessibility#alttext
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krita

Buenas!
Llevo varios días bicheando en esto del #fediverso y ando bastante asombrada de no haber sabido antes de su existencia.
A modo de #presentación decir que suelo usar las redes en modo "voyeur": busco información interesante (o simplemente pasar el rato y dejarme sorprender) y no suelo postear mucho; así que no esperéis demasiado contenido por mi parte, pero si algun que otro like (se dice así por aquí?).
Estoy empezando a aprender cositas de #python #git #pandas #sql y #data en general. Cuanto más aprendo más veo que no tengo ni idea de nada, pero me gusta leer tips&tricks y artículos (nivel principiante).
Me gusta #cocinar, pero me gusta aún más comer así que si tienes #recetas o recomendaciones de #restaurantes en #Madrid (o cualquier otra ciudad) serán más que bienvenidas.
Un saludo!

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Tommi 🤯

I spent the last two days coding bepp, my first #Python project.

Its use case that is so specific I think nobody else will ever use it except me.

The tool is meant to clean up and merge together transaction summaries from Banca Etica and PayPal, exporting them in a simple #CSV.

Even though it’s a tiny silly script, I am very proud of it and I feel that I could create anything I set my mind to, now!

Thanks to my Introduction to Data Science course, that finally made me start learning Python with the time and dedication it deserves (my project for the course is very interesting too, will post about it in a few days).

Codeberg.orgbeppAn opinionated script to gather, clean up and merge transactions from Banca Etica and PayPal.
#BancaEtica#PayPal#PersonalFinance
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JPeck

Our family is planning to go to #WashingtonDC this year for a couple days to see the sites and the #pandas. It's been so warm that we were looking into booking a room in a couple weeks. Then it occurred to us.... after the #election, we should probably not be in DC 🤣
Guess we'll put this off until spring. Fingers crossed that the capital is still in one piece by then 🤞

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Tommi 🤯

Hey #DataScience people!

I am about to start my first “Introduction to Data Science” course at #University, and our professor asked us to team up and think about a project that we want to do.

Nevertheless, since I don’t know anything about the topic yet, I would really appreciate any tips of entry-level data science projects that I could do with #OpenData #DataSets in #Python!

Probably, we will be using #pandas. Since you’re here, any additional learning resources or general suggestions are much welcome, too!

Thanks ❤️👾

(Not sure how useful it is, but this is the course link: ois2.tlu.ee/tluois/subject/ULP)

ois2.tlu.eeTLÜ ÕIS
#DataScience101#AI#learning
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Ehay2k

@w7voa

Here's the current status as of 7:50 AM. It says the plane will arrive 6 minutes early.

Giant pandas, welcome to DC, where no good deed goes unpunished. Arrive early, but then you have to wait for a gate to open up, then wait even longer for your luggage because you went to a new gate!

😉 #pandas #NationalZoo

Replied in thread
Public
Eric Maugendre

A categorical variable takes on a limited number of values.
The categorical #dataType is useful in the following cases:
- A string variable consisting of only some values. df[["label"]].astype("category") saves memory.
- The lexical order is not the same as the logical order (“one”, “two”, “three”). Sorting and min/max will use the logical order.
- As a signal to other libraries to treat as a category.

More: pandas.pydata.org/pandas-docs/

pandas.pydata.orgCategorical data — pandas 2.2.3 documentation
#dataDev#Python#Pandas
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Essi Parent

My first #Python package alive on PyPi. seekwellpandas is a simple extension for more intuitive, SQL-like queries in #pandas.

```
import pandas as pd
import seekwellpandas
df = pd.DataFrame({
'A': [1, 2, 3, 4],
'B': ['a', 'b', 'a', 'b'],
'C': [10, 20, 30, 40]
})
df.select('A', 'B')
```

Let me know what you think!

essicolo.github.io/seekwellpan

essicolo.github.ioWelcome to seekwellpandas’s documentation! — seekwellpandas 0.1.0 documentation
#pydata#datascience
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