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generate functionMon, 05 Jun 2023

Recibir dos números enteros y obtener el resultado de la división entera o el de la división con decimales según sea la preferencia del usuario. resolverlo con metodos

int a, b; Console.WriteLine("Dame dos numeros para dividirlos"); a = int.Parse(Console.ReadLine()); b = int.Parse(Console.ReadLine()); Console.WriteLine("El resultado de la división entera es {0}", DivEntera(a, b)); Console.WriteLine("El resultado de la división decimal es {0}", DivDecimal(a, b)); int DivEntera(int a, int b) { return a / b; } double DivDecimal(int a, int b) { return (double) a/b; }

C#
Guest
generate functionSat, 06 May 2023

Login con conexión a MySQL con contraseña encriptada

import mysql.connector import hashlib import sys def login(username, password): """ """ # Create connection mydb = mysql.connector.connect( host="localhost", user="user", passwd="pass", database="mydatabase" ) # Create cursor to execute queries cursor = mydb.cursor() # Create query and execute query = f"SELECT * FROM login WHERE username = '{username}'" cursor.execute(query) # Fetch all results result = cursor.fetchall() # Check if query was successful if result == []: print("Invalid username and/or password") return # Check if user exists if len(result) != 1: print("ERROR: More than one user exists") return # Check if password is correct # Load password from database db_password = result[0][1] # Encrypt password

Python
Guest
generate functionSat, 03 Dec 2022

void型の関数 histgram2() は、4つの引数をもち、順に [0,100] の範囲の値を要素にもつint型の配列変数 a[]、配列 a[] のサイズを表すint型の値 n、および、ヒストグラムの値を代入するためのint型の配列変数 h[]、ヒストグラムの区間の幅を表す int型の値 m である。 histgram2() は、与えられた配列変数 a[] の要素の値が、[0,m-1], [m...

void histgram2(int a[], int n, int h[], int m) { int i, j, k; i = 0; j = 0; k = 0; while (i < n) { if (m * k <= a[i] && a[i] < m * (k + 1)) { h[k]++; } else { k++; h[k]++; } i++; } }

C
Guest
generate functionTue, 21 Mar 2023

Add to this the code for generating a grid on the chart, as well as specifying the percentage difference directly on the chart bars plt.figure(figsize = (12, 4)) plt.bar(data.index, data['nutri'], co...

plt.figure(figsize = (12, 4)) plt.bar(data.index, data['nutri'], color = 'darkblue', label = 'nutri') plt.bar(data.index, data['mineral'], color = 'brown', label = 'mineral') plt.title('Comparison of Nutrient and Mineral Content') plt.xlabel('Nutrient|Mineral') plt.ylabel('Amount') plt.legend() plt.show()

Python
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