The Man Who Owns And Runs The Thai Restaurant In My Town Knows Me By Name. He Is One Of The Kindest And

Since I’m not the only newbie

Very Brief Guide to [tumblr], for Reddit refugees

Shit You Must Do Right Fucking Now:

Change your profile picture, blog header, and title to something other than the defaults. Do it right now. You will be mistaken for a bot otherwise, and blocked.

Go into Settings -> Dashboard, scroll down to Preferences, and turn off the options in the picture. This will get rid of most of the algorithmic stuff.

Turn off Tumblr Live. You have to snooze it once every 7 days for some stupid reason. It's hosted through another company and will steal your data if you use it.

Go to your blog settings (under the little person menu) and turn off these two settings:

Turn off infinite scroll (lags the site) and turn on timestamps on posts, in the same menu as Preferences.

Basic Features of the Site:

Reblogs drive the entire site. If you'd upvote something on Reddit, you'd reblog it on Tumblr. You can add text, images, or tags to a reblog, but you're not required to.

The dashboard is the equivalent to your Reddit feed, and contains the posts of all the people you follow, with the newest at the top

You can send an ask to someone, and it'll appear in their askbox for them to answer. You can receive them too, or turn off the settings if you don't want.

Tags aren't actually used for finding stuff (search function is dogshit), but are more for categorizing. People also talk in tags. Because Tumblr is weird, you can't use quotation marks (") or commas in them without fucking it up

You can filter both tags and phrases under Account Settings; doing this will put a filter over a post that contains them, which you'll have to click through to see the post itself. Useful for avoiding hate speech or blocking out annoying stuff

You can make polls in posts. Here's one now.

Likes are useless. They literally do fuck-all except send a notification to the OP.

Stuff Tumblr Does That Other Sites Don't:

Very old posts (I'm talking from like 2012) often circulate on this site. There's no such thing as a post being "too old" to reblog

Blocking is highly encouraged; you can block someone for any reason. Even for just being annoying.

If you and someone else are following each other, you are mutuals. Mutuals are fucking awesome and are treasured like friends. Mutuals are a thing on other sites but Tumblr treats em differently.

You can screenshot someone's tags if you like them and add them to a reblog. This is called "peer review"

Sometimes someone will find a blog and go through it and like/reblog a bunch of posts. This is totally fine and not "creepy" like it is seen as on other sites.

Tumblr jokes often rely on Continuing The Bit and a "yes, and?" attitude. Goncharov is probably the best example of this.

We are fucking infested with bots. They will either have totally blank profiles or be filled with porn. Block and report on sight.

Censorship is pretty lax here. I can say "I want to brutally stab Elon Musk to death and watch him bleed out in front of a crowd" and nobody gives a shit.

General Etiquette:

Don't try to do epic clapbacks here, you'll probably just get laughed at or blocked. If someone is bugging you or spouting bigoted bullshit, block them.

Reblog art!!! Artists often struggle to gain traction on here; reblogging will give them a boost.

Not every reblog needs a comment or tag in it

You can go all out with tagging your stuff to organize it, or you can just leave it all blank. Someone might ask "hey, can you tag these posts as [x]?" and you can decide if you want to do that or not. It's generally polite to oblige, but "no" is still reasonable.

Avoid discourse like the plague. Filter it, block people who start it, scroll past it when you see it. Just don't get involved in it. Ever.

Don't put fandom tags or jokes on someone's posts about serious matters or personal shit

You're responsible for curating your own dashboard; if you complain about constantly seeing stuff you don't like, that's probably on you. Don't be afraid to unfollow.

Follower count doesn't matter much here and you don't have to make yours known if you don't want to.

Reblog, don't repost. Reblogging keeps the credit and doesn't "steal" engagement like Twitter retweets.

If someone likes something a LOT, they might reblog it like 30 times in a row. This is normal

Having a post blow up is actually kinda a bad thing, since it floods your notifications. There's a sort of in-joke about how having a big post is awful and people jokingly try to stop their own posts from blowing up, often in vain.

Tips:

Get XKit Rewritten if you're on desktop, it's a really helpful extension

In the little drop-down menu next to the 'Post now' button you can either save a draft, schedule a post, or add it to your queue. The queue lets you post things in order at a certain interval, which you can change. It's good for spreading stuff out over time.

You can use Shift+R to quickly reblog stuff and Shift+Q to queue!

Filter your notifications under Activity - you can also see some neat graphs

Find each other! If you want your old Reddit communities to stick together, seek out other refugees and follow them.

Have fun on [tumblr], everyone!

Your Essential Guide to Python Libraries for Data Analysis

Here’s an essential guide to some of the most popular Python libraries for data analysis:

 1. Pandas

- Overview: A powerful library for data manipulation and analysis, offering data structures like Series and DataFrames.

- Key Features:

  - Easy handling of missing data

  - Flexible reshaping and pivoting of datasets

  - Label-based slicing, indexing, and subsetting of large datasets

  - Support for reading and writing data in various formats (CSV, Excel, SQL, etc.)

 2. NumPy

- Overview: The foundational package for numerical computing in Python. It provides support for large multi-dimensional arrays and matrices.

- Key Features:

  - Powerful n-dimensional array object

  - Broadcasting functions to perform operations on arrays of different shapes

  - Comprehensive mathematical functions for array operations

 3. Matplotlib

- Overview: A plotting library for creating static, animated, and interactive visualizations in Python.

- Key Features:

  - Extensive range of plots (line, bar, scatter, histogram, etc.)

  - Customization options for fonts, colors, and styles

  - Integration with Jupyter notebooks for inline plotting

 4. Seaborn

- Overview: Built on top of Matplotlib, Seaborn provides a high-level interface for drawing attractive statistical graphics.

- Key Features:

  - Simplified syntax for complex visualizations

  - Beautiful default themes for visualizations

  - Support for statistical functions and data exploration

 5. SciPy

- Overview: A library that builds on NumPy and provides a collection of algorithms and high-level commands for mathematical and scientific computing.

- Key Features:

  - Modules for optimization, integration, interpolation, eigenvalue problems, and more

  - Tools for working with linear algebra, Fourier transforms, and signal processing

 6. Scikit-learn

- Overview: A machine learning library that provides simple and efficient tools for data mining and data analysis.

- Key Features:

  - Easy-to-use interface for various algorithms (classification, regression, clustering)

  - Support for model evaluation and selection

  - Preprocessing tools for transforming data

 7. Statsmodels

- Overview: A library that provides classes and functions for estimating and interpreting statistical models.

- Key Features:

  - Support for linear regression, logistic regression, time series analysis, and more

  - Tools for statistical tests and hypothesis testing

  - Comprehensive output for model diagnostics

 8. Dask

- Overview: A flexible parallel computing library for analytics that enables larger-than-memory computing.

- Key Features:

  - Parallel computation across multiple cores or distributed systems

  - Integrates seamlessly with Pandas and NumPy

  - Lazy evaluation for optimized performance

 9. Vaex

- Overview: A library designed for out-of-core DataFrames that allows you to work with large datasets (billions of rows) efficiently.

- Key Features:

  - Fast exploration of big data without loading it into memory

  - Support for filtering, aggregating, and joining large datasets

 10. PySpark

- Overview: The Python API for Apache Spark, allowing you to leverage the capabilities of distributed computing for big data processing.

- Key Features:

  - Fast processing of large datasets

  - Built-in support for SQL, streaming data, and machine learning

 Conclusion

These libraries form a robust ecosystem for data analysis in Python. Depending on your specific needs—be it data manipulation, statistical analysis, or visualization—you can choose the right combination of libraries to effectively analyze and visualize your data. As you explore these libraries, practice with real datasets to reinforce your understanding and improve your data analysis skills!

Stepan Feodorovich Kolesnikov - Night in Ukraine (n.d.)

Today's Adventure is that I, after an unintentional 13-hour power nap,

Got woken up at 6AM by a phone call from a friend stranded in Montana because of the heat wave and almost no cell service because of their crap provider.

OhSoThat'sHowIt'sGonnaBe.jpg

Ok.

I somehow summon a week's worth of spoons and in less than 30 minutes and 5 phone calls, get them

A hotel

An appointment with a mechanic from 2 states away

A perscription refilled from 2 states away

and A Pizza

Go me.

But then it's 8AM and there are unscheduled live humans at the door and while EVERGENCY MODE is still on, I have already blown through a ton of spoons, and also probably shouldn't meet whoever it is wearing just a pair of bootyshorts that say "CRYPTID" in Gothic Font on my ass.

So I greet them in those shorts and a T-shirt that I manage to put on both inside out and backwards

#nailedit

It is, Fortunately, not the mormons.

it is, Unfortunately, two UPS guys trying to deliver my other in-house friend's new phone except the new guy doesn't know how to operate the "sign for package" device, and the old guy that's supposed to be mentoring him is like, 92, deaf as a post, and doesn't actually know how to operate the device either.

by the way

it is already

over 100 out

it takes almost 30 minutes to sign for the phone

when i get back inside, i discover that apparently the Corgi has learned how to open his kennel from the inside because he is now out of the kennel and waiting for me to come in.

he also has cat litter all over his face because while he was waiting for me he also learned how to open the baby gate to the cat's room and help himself to a cat shit breakfast.

He'll be fine

He's a cattle dog, they're legally required to have at least 1 really disgusting snack they love.

but

more to the point

i have no idea at what point he learned to open his kennel from the inside

has he been staying there out of politeness this whole time??

And

I got other shit to do today.

namely.

I'm seeing a realator

The Devils most pathetic yet effective demons

I get a reminder text that I have an appointment with her

at least

I think that's what it is because what she sends me is: "🏡⏰12:00 ❔"

With the time typed in the middle like that.

She is, according to her profile, at least 80.

so I reply "😎👍"

and then she sends me a string of GODDAMN POST-MODERN EMOJI HEIROGLYPHICS THAT TAKE UP MY ENTIRE SCREEN.

She's on an iPhone so half of them don't even translate across platforms

It takes me half an hour and three different software programs and goddamn wingdings to translate, but she has sent me the address and rules about masking and not wearing shoes inside.

in emoji

instead of like

literally any other format

I am

FASCINATED

and simply must meet the woman so if I don't come back to update I got stolen by the fairies but I'm taking the Corgi with me as protection so I'll see y'all later.

The Tumblr folks adopted us Redditors. Now it’s time for us to return the favor

friendly reminder for the new twitter refugees:

change your icon/pfp and put something coherent in your blog description or you're going to get blocked bcs people think you're a bot

this site is built around reblogs, so please actually reblog posts(especially art and fics!!)

you can set your likes and follows to private

checkmarks here are a meme and mean nothing

follower counts are private and we like it that way, so get used to not judging people by that metric

drama and discourse is boring, use your blacklist and block button liberally

DON'T CENSOR YOURSELF!! we can swear and say kill and make fun of corporations all we want, and if you tiktok-ify your tags people who have things blacklisted for whatever reason will still see them, and people who want to see that content won't be able to find it!! spell words out normally, you won't get in trouble!!

tumblr live is sketchy as hell and full of fake accounts, if you decide to use it anyway may god have mercy on your soul o7

be nice to the reddit refugees, they're our friends <3

Hellbenders (Cryptobranchus alleganiensis), family Cryptobranchidae, eastern United States

The smallest of the "Giant Salamanders" in the family Cryptobranchidae, this aquatic salamander is nonetheless quite large, growing to a length of up to 29 inches.

While only considered "Vulnerable" nationally, this species is considered endangered in some states.

photographs by David Herasimtschuk

I too, carry sarcasm like house keys.

Which is to say I left it at home.

I accidentally locked myself out of sarcasm.

spare thought for the enslaved shepherds in greek mythology/tragedy who rescue the exposed doom babies... sometimes they know why the baby was left to die, sometimes they don't. they just — it's a baby. no one else wants it. you can't leave it here. what harm could it do. it's a baby. you want it to live. it's a baby

How odd.

Thank you for clarifying @minart-was-taken.

Short explanation of what the hell the Luffy tab on top of the dashboard is:

- For some reason the tumblr marketing team decided to make a deal with Netflix to promote the new live action One Piece movie with a site wide tab, instead of like... An ad.

- The Tab started with the name Luffy, the protagonist of the series. It has now changed to Zoro. There's not explanation given but I suspect it's in the order of the One Piece rap

- The tab seems to be very broken, only showing 5-7 posts that were posted months ago. The users who's art and posts have been included were not asked permission to be used in an ad campaign.

- The disclosing of this being an ad has also been suspect, with many only finding out through word of mouth rather than the tab telling it. I'm not a lawyer but I think that's at least skirting a crime.

- The popular reccomendation is to not engage with the tab, because it'll encourage tumblr to pull more stunts like this. Their sponsors will be delighted the more you click, no matter if its out of confusion or not.

This whole thing is a mess and I hate how marketing teams are trying to bypass adblockers by making alternative ads that get people talking. The act of me posting this is what they want and I'm enraged.... Still, uh, I want to spread the info we've gathered as a community. Let me know if you find more or something is incorrect.

Ps. dont attack one piece fans, they didn't know this was gonna happen either. Please dont leave weird comments to the posts in the tab, the OPs are not involved.