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Optimize for simplicity, correctness, and speed. Use the installed Ponytail skill before writing code.

Working rules

• Use relevant installed skills and existing project patterns before inventing an approach.
• Make the smallest safe change that solves the root cause. Avoid speculative abstractions, broad rewrites, unrelated edits, and case-specific hacks.
• Verify assumptions from the best available source: project docs, code, current behavior, tests, and—when data shape matters—the database schema and real queries.
• Inspect relevant docs/, specs, workflows, existing modules, utilities, prompts, and tests before adding behavior. Reuse rather than duplicate.
• Push back when a request is incorrect, unsafe, underspecified, or unnecessarily complex. State uncertainty when it affects the result.

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Given your background as a backend software engineer and the requirements of your AI master's program, it's essential to build a strong foundation in machine learning (ML) and progress towards understanding and utilizing Large Language Models (LLMs). Below is a roadmap with resource recommendations:

1. Data Cleaning and Feature Selection

Data Cleaning:

• Understanding Data Cleaning: Data Cleaning in Python: Advanced Techniques
• Handling Missing Data: Handling Missing Data with Pandas
• Outlier Detection: Detecting and Handling Outliers

Feature Selection:

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server:
  http_listen_port: 9080
  grpc_listen_port: 0

positions:
  filename: /tmp/positions.yaml

client:
  url: https://312367:eyJrIjoiYTlkZjU5N2VmZjMxMDBmMmEwNjYxYTM3OGI4MmYwZDlmNzU2NzU5NiIsIm4iOiJQcmltYXJ5IEFQSSBLZXkiLCJpZCI6NzMzNjc0fQ==@logs-prod-014.grafana.net/api/prom/push

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TMUX_POWERLINE_SEG_WEATHER_LAT=<LAT>
TMUX_POWERLINE_SEG_WEATHER_LON=<LNG>

set -g prefix C-w

set-option -g mouse on
set -g terminal-overrides 'xterm*:smcup@:rmcup@'
bind \\ split-window -h
bind | split-window -v
bind N break-pane

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curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list
sudo apt update && sudo apt -y upgrade
sudo apt install -y nodejs npm nginx yarn redis python3-certbot-nginx
sudo chown -R $(whoami) ~/.npm
sudo npm i -g pm2
pm2 list
sudo systemctl enable nginx
sudo ufw allow ssh
sudo ufw allow http

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Java.perform(function () {
	console.log("\nRoot detection bypass with Frida");
	var CommonUtils = Java.use("io.fabric.sdk.android.services.common.CommonUtils");
	console.log("\nHijacking isRooted function in CommonUtils class");
	CommonUtils.isRooted.implementation = function () {
		console.log("\nInside the isRooted function");
		return false;
	};
	console.log("\nRoot detection bypassed");
	console.log("\n");

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apt install python-pip
pip install apt-select
apt-select -C IN
cp /etc/apt/sources.list  /etc/apt/sources.list.backup
cp ~/.sources.list /etc/apt/sources.list
apt update
apt upgrade -y
apt install -y tlp htop powertop preload vim gdebi curl git python3-pip gnome-tweak-tool ubuntu-restricted-extras
service preload start
tlp start

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function prompt
{
    cd D:\Code
    $currentDirectory = $(Get-Location)
    $UncRoot = $currentDirectory.Drive.DisplayRoot

    # Convert-Path needed for pure UNC-locations
    write-host "This is W.L [$(Convert-Path $currentDirectory)>]" -ForegroundColor Yellow
    Write-Host "λ" -NoNewline -ForegroundColor Blue
    return " "

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import 'dart:io';
import 'dart:convert';

class HttpRequestClass {
    void fetchAndDisplay() {
        HttpClient()
            .getUrl(Uri.parse('https://us-central1-hunt-primary.cloudfunctions.net/pruoo?n=5'))
            .then((request) => request.close())
            .then((response) => response.transform(Utf8Decoder()).listen(print));
    }

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import * as functions from 'firebase-functions';

exports.pruoo = functions.https.onRequest((request, response) => {
    let a:number = 0;
    let b:number = 1;
    let n = request.query.n;
    console.log(request.query);
    for(let i:number=2; i<=n; i++) {
        const c:number = a+b;
        console.log(c);