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I too, carry sarcasm like house keys.

Which is to say I left it at home.

I accidentally locked myself out of sarcasm.

every time i see those posts like ‘what food from a show did YOU always wanna try’ i go lol none? but i just remembered im a liar

i always wanted the fucking soup brock made in the pokemon anime

A guide to designing wheelchair using characters!

I hope this helps anyone who's trying to design their oc using a wheelchair, it's not a complete guide but I tried my best! deffo do more research if you're writing them as a character

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!

To help everyone understand the gravity of the situation with Unity's recent bullshit, here are some games made in unity:

Cult of the Lamb

Bendy and the Ink Machine

Untitled Goose Game

Road 96

Cuphead

Power Wash Simulator

Genshin Impact

Getting Over It

Inside

Tem Tem

Kerbal Space Program 1

Kerbal Space Program 2

Rust

Rimworld

Outer Wilds

Dream Daddy

Thomas Was Alone

I Am Setsuna

Tunic

Night in the Woods

Pony Island

Return of the Obra Dinn

Among Us

Pokemon Go

Hollow Knight

Ori and the Blind Forest

Ori and the Willow of the Wisps

Vampire Survivors

Two Point Hospital

City Skylines

The Long Dark

Firewatch

Oxenfree

Subnautica

Subnautica: Below Zero

Fall Guys

Many, MANY MORE

Unless you only play tRIpLE A titles this will most likely affect a game you like. Hell, it can even affect really big games like Pokemon Go.

For a long time, starting years and years back, a lot of people have been talking about the preservation of games and being against moving to digital only games for reasons like this, and how the greed of various big companies in the game industry will negatively impact access to games and their preservation. It's happening. This will impact games that are already out. This will impact games being made. This will impact games made in the future. So if you care even a teensy tiny bit about a single game made in unity, or you care about the future of game development period, I suggest you pay very close attention.

A good article from an indie developer detailing the changes and exactly how it screws devs over:

Game Developer

The Death of Unity

If you're starting a new game project, do not use Unity.

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.

my favorite side effect warning is for antidepressants

pros: you won’t want to kill yourself

cons: you might want to kill yourself

First ever recorded snowball fight (1897)

Happy Holidays And Merry Christmas To All!