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Assembly · an anonymous user
20 hours ago
section .data resp db "El texto ingresado es: ",0 resp_len equ $ - resp section .bss buffer resb 100 section .text global _start

Texto con imput

Assembly · an anonymous user
20 hours ago
section .data resp db "El texto ingresado es:", 0 resp_len equ $ - resp section .bss buffer resb 100 section .text global _start

chapter10ex1

C · an anonymous user
20 hours ago
#include <stdio.h> int main() { int ctr = 0; ctr = ctr + 1; // increases counter to 1 printf("Counter is at %d.\n", ctr);

chapter9ex1

C · an anonymous user
20 hours ago
#include <stdio.h> int main() { // Two sets of equivalent variables, with one set // floating-point and the other integer float a = 19.0; float b = 5.0;

4장[문제2].c

C · pinxxose
20 hours ago
#include <stdio.h> int main() { int N; //입력 = 대문자 int count = 0; scanf("%d", &N); for (int i = 0; i < n; i++) { printf(" ");

Lab assignment 9

Octave · an anonymous user
20 hours ago
clc; clear; % Define x in the interval [1, 100] x = linspace(1, 100, 1000); % Compute the two functions f1 = exp(x); f2 = x.^3;

love

NodeJS · RenataCp
20 hours ago
const floatParticles = []; const burstParticles = []; const FLOAT_COUNT = 140; for (let i = 0; i < FLOAT_COUNT ; i++) { const p = new Particle( Math.random() * width, Math.random() * height, "float"); p.Life = Math.random() * p.maxLi

MUSE

SQL · VicFm28
20 hours ago
-- CREATE TABLE CREATE TABLE Ventas( id INTEGER primary key, producto TEXT not null, cantidad INTEGER not null, precio REAL not null, sucursal TEXT not null, fecha TEXT not null ); -- insert some values

MUSE

SQL · VicFm28
20 hours ago
-- CREATE TABLE CREATE TABLE Ventas( id INTEGER primary key, producto TEXT not null, cantidad INTEGER not null, precio REAL not null, sucursal TEXT not null, fecha TEXT not null ); -- insert some values

Lab Assignment 6.m

Octave · zrenfus
20 hours ago
clc clear disp('Zhoria Renfus') x = 1:100; f1 = exp(x); f2 = x.^3;

PROYECTO SEGUNDO PARCIAL

SQL · K4ren
20 hours ago
CREATE TABLE Ubicaciones ( ID_Ubicacion COUNTER CONSTRAINT PK_Ubicaciones PRIMARY KEY, Calle TEXT(100), Colonia TEXT(100), Sector TEXT(50), Coordenadas_GPS TEXT(50), Tipo_Zona TEXT(30) ); CREATE TABLE Lamparas (

adskflasdfsaf

Python · 12eee844
20 hours ago
class Calculator: def __init__(self): self.value = 0 def add(self, val): self.value += val class UpgradeCalculator(Calculator): def minus(self, val): self.value -= val

main.py

Python · an anonymous user
20 hours ago
print('Hello world!') class CPoint: id:int=0 nb=0 def __init__(self,x:int,y:int): self.x=x self.y=y def __str__(self):

1114테스트 코드

C · kukuru_bbing_bbong
20 hours ago
#include <stdio.h> int main() { int arr[5]={5,10,2,9,1}; printf("arr의 주소; %p\n",arr); for(int i=0;i<5;i++){ printf("arr[%d]의 주소: %p\n", i, &arr[i]); }

J

MySQL · an anonymous user
21 hours ago
-- Tabla usuario CREATE TABLE usuario ( id_usuario INT AUTO_INCREMENT PRIMARY KEY, nombre VARCHAR(100) NOT NULL, apellido VARCHAR(100) NOT NULL, correo VARCHAR(100) NOT NULL, telefono VARCHAR(100) NOT NULL );

productos SAUCEDO AYALA A-11

C · emiliano_ayala23
21 hours ago
#include <stdio.h> #include <stdlib.h> #include <locale.h> #define pf printf #define sf scanf #include <ctype.h> #define TOPE 20 int main() {

lab assign 9

Octave · an anonymous user
21 hours ago
clc; clear; close all; x = 1:100; y1 = exp(x); y2 = x.^3; figure;

Vanessa Pérez Farfán

Python · an anonymous user
21 hours ago
promedio_final = 9.5 if promedio_final >= 9: print ("Alumno destacado, exento examen final") else: print("Alumno regular, debe presentar examen")

test1

MongoDB · an anonymous user
21 hours ago
db.Product.insertMany([ { ProductID: 784, Name: "Mountain-200 Black, 46", ProductNumber: "BK-M68B-46", color: "Black", ListPrice: 2294.99, Size: 46, SizeUnitMeasureCode: "CM", WeightUnitMeasureCode: "LB", Weight: 24.13, class: "H", style: "U", Pro

9回

Python · kokushikan4518
21 hours ago
print('Hello world!') import numpy as np from scipy import stats # 表1のデータ data = [154.2, 150.4, 149.3, 164.2, 161.0, 164.2, 163.1, 140.5, 163.0, 158.2] # 標本平均の計算 sample_mean = np.mean(data)