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product_names <- c("Laptop", "Smartphone", "Tablet", "Headphones", "Smartwatch", "Printer", "Keyboard", "Monitor") unit_prices <- c(185000, 95000, 68000, 12500, 28000, 42000, 8500, 56000) units_sold <- c(35, 80,

ka = [] a = 0 while a == 0: try: ka.append(input()) except: a=1 else: ka.append(input()) b = 0

ka = [] a = 0 while True: try: ka.append(input()) except: break else: ka.append(input()) def first(a):

# Question 1: Data Preparation and Inspection # (i) Create separate vectors product <- c("Laptop", "Smartphone", "Tablet", "Headphones", "Smartwatch", "Printer", "Keyboard", "Monitor") unit_price <- c(185000, 95000, 68000, 12500, 2800

# Evaluation de la faisabilité d'un projet GTB criteres = { "Infrastructures_existantes": {"note": 4, "poids": 20}, "Compatibilite_equipements": {"note": 2, "poids": 20}, "Reseau_informatique": {"note": 4, "poids": 15}, "Potentiel_e

CREATE TABLE clients ( id_client INTEGER PRIMARY KEY, nom VARCHAR(50) NOT NULL, age INTEGER, ville VARCHAR(30) ); CREATE TABLE comptes ( id_compte INTEGER PRIMARY KEY, id_client INTEGER NOT NULL,

// ============================================================================== // LiveMira TikTok LIVE Stream Radar & Interactive Tool Ecosystem (Multilingual) // Broadcast Telemetry Engine, Real-time WebSocket Monitoring & Cloud Media Tools // =

#include <stdio.h> int main() { printf("Hello world!\n"); return 0; }

% EXPERIMENT 4 % PULSE WIDTH MODULATION AND DEMODULATION clc; clear all; close all; fm = 1000; % Message frequency fs = 10000; % Sampling frequency

% EXPERIMENT 3 % PULSE POSITION MODULATION AND DEMODULATION clc; clear all; close all; fm = 1000; % Message frequency fs = 10000; % Pulse repetition frequency

#include <iostream> int main() { std::cout << "Hello world!" << std::endl; return 0; }

create table Employee (empid int,age int,name varchar, salary int) insert into Employee values(1,24,'sk',50000) insert into Employee values(2,23,'ks',45000);

product <- c("Laptop", "Smartphone", "Tablet", "Headphones", "Smartwatch", "Printer", "Keyboard", "Monitor") unit_price <- c(185000, 95000, 68000, 12500, 28000, 42000, 8500, 56000) units_sold <- c(35, 80, 45, 160, 90, 38, 210,

import matplotlib.pyplot as plt import math as m import numpy as np import scipy.optimize as op # déclaration des listes t, M, u, theta, R, X, Y = [], [], [], [], [], [], [] # données d'astronomie T_rev = 0.240 #période de révolution (an) e = 0

import matplotlib.pyplot as plt import math as m import numpy as np import scipy.optimize as op # déclaration des listes t, M, u, theta, R, X, Y = [], [], [], [], [], [], [] # données d'astronomie T_rev = 0.240 #période de révolution (an) e = 0

# ================================================== # INTRODUCTION TO R PROGRAMMING FOR BUSINESS ANALYTICS # LankaSmart E-Commerce Company # ================================================== # QUESTION 1: Create vectors and data frame product <-

program comb integer::n,r,nfac,rfac,nrfac,ncr write(*,*)"Enter n and r" read(*,*)n,r nfac=1 do i=1,n nfac=nfac*i end do rfac=1 do i=1,r

name = input("whats your name bro? ") print ("hello, " + name)

print("STEP 1 - INSERT SONGS"); db.songs.insertMany([ { song: "Babalik Ka Pa Ba", artist: "CHNDRT", album: "Habang Umuulan", released: 2018 },

<!DOCTYPE html> <html lang="fr"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Ampoule explosive</title> <style> body { margin: 0;