The Most Disorienting Thing Thats Ever Happened To Me Was When A Linguistics Major Stopped In The Middle

Quietly losing my mind over the fact that Elon Musk has straight up orchestrated a coup of our executive branch and like....I don't even know what, if any, system we have in place to fix this. Like... He's just taken control of the money and locked out the actual appointed officials. What the fuck.

"Do you ever dream of land?" The whale asks the tuna.

"No." Says the tuna, "Do you?"

"I have never seen it." Says the whale, "but deep in my body, I remember it."

"Why do you care," says the tuna, "if you will never see it."

"There are bones in my body built to walk through the forests and the mountains." Says the whale.

"They will disappear." Says the tuna, "one day, your body will forget the forests and the mountains."

"Maybe I don't want to forget," Says the whale, "The forests were once my home."

"I have seen the forests." Whispers the salmon, almost to itself.

"Tell me what you have seen," says the whale.

"The forests spawned me." Says the salmon. "They sent me to the ocean to grow. When I am fat with the bounty of the ocean, I will bring it home."

"Why would the forests seek the bounty of the oceans?" Asks the whale. "They have bounty of their own."

"You forget," says the salmon, "That the oceans were once their home."

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.

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

It is with the deepest frustrations that I must report Microsoft has pushed out Copilot onto Microsoft Word no matter what your previous settings were. If you have Office because you paid for it/are on a family plan/have a work/school account, you can disable it by going to Options -> click on Copilot -> uncheck 'Enable Copilot'.

(Note, you may not see this option if you haven't updated lately, but Copilot will still pop up. Updating should give you this option. I will kill Microsoft with my bare hands.)

In addition, Google has forced a roll-out of it's Gemini AI on all American accounts of users over 18 (these settings are turned off by default for EU, Japan, Switzerland, and UK, but it doesn't hurt to check).

To remove this garbage, you must go to Manage Workspace smart feature settings for all your Gmail/Drive/Chat and turn them off. Go to Settings -> See all settings -> find under "Genera" the "Google Workspace smart features" -> turn smart feature setting off for both Google Workspace and all other Google products and hit save. (If you turned off the smart settings in your Gmail, it never hurts to open Drive and double-check that they're set to off there too.)

Quick Edit: I found the easiest way to get to the Smart Feature settings following the instructions above was to do it through Drive. Try that route first.

Now is the time to consider switching to Libre Office if you haven't already.

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!