When ChatGPT Codes The Gender Pay Gap

Content Dad: Are you still watching machine learning tutorials on youtube? Me: did you check my internet history?! Dad: why can't you watch porn like a normal child? ProdrammerHumor.io

Content WRITING PYTHON RUNNING CC WRITING CC RUNNING PYTHON

Content PYTHON IS AN INTUITIVE LANGUAGE ??? ??? "?".join (array) (THRU: LENE

Content rProgrammerHumor ull-Luppoooo 5h This sub needs an Elon Musk bot which randomly replies "you're fired" 4 642 S Q 271 Share rredhat uomenosdev 19h We're Hiring! 4 33 1 RadHat Hybrld Cloud content.cloud.rec Share

Ah, the classic beginner's dilemma. You're just trying to pick up coding, overwhelmed by the buffet of languages spread before you—Python, JavaScript, C#, Java—each one promising to be the one . Meanwhile, seasoned devs are in the corner cackling with their Rust bottles like some coding cult. The truth? After 15 years in this industry, I've watched languages come and go faster than startup CEOs after funding runs out. The beginners panic about which pill to swallow while the veterans know the real drug was memory safety and zero-cost abstractions all along. Rust is like that friend who does CrossFit—they won't shut up about it, but damn if they aren't in better shape than the rest of us garbage-collected peasants.

Content A Time-Series Analysis of my Girlfriends Mood Swings Dr. Chad Broman' 'Department of Applied Psychological Machine Leaming, Cranberry-Lemon University, Pittsburgh, PA. USA Abstract Despite recent advances in active listening, date night, and extended pillow talk; it is becoming increasingly more difficult to forecast Tiffany's mood. With more and more Playstation 5 exclusive games, it is becoming increasingly important to determine Tiffany's mood before purchasing a new game and playing online Co-op with the boys every evening for a week straight. This paper aims to determine the optimal forecast model of my girlfriend's drastically growing mood swings by comparing simple moving averages, to sextuple exponential smoothing and even an overly complicated Machine Learning model. Despite initial analysis showing non-stationarity and highly seasonal mood swings. the more simple models provided less riskier forecast predictions when planning a three day bender after Matt got divorced. Keywords: Relationships, Time Series Analysis, Forecast Modeling. Playstation 5 Exclusives 1. Introduction find her endlessly scrolling through reddit for memes. facebook or instagram for jealousy, and twitter to keep up on Traditional methods of determining whether Tiffany is in a all the public officials and celebrities she hates the most. good mood has produced wildly subjective results causing dangerous outcomes such as her taking three hours to 1.2 Purpose respond to a text, flaking on nettlix and chill plans or even most disastrously having to return a speed boat even though Ever since her best friends started having kids and she got it was a great deal and an even better investment. promoted to a stressful corporate position she was not trained Just asking her if she's okay is not enough anymore. The for. it has become exponentially difficult to olan around only reliable method is to develop. test. verify. and Tiffany's emotional highs and lows. This is becoming not implement an extensive forecasting model by analyzing only problematic but is a problem that needs to be solved historical Tiffany mood swing data. immediately. To dispel any misconceptions, it's not about