required format: Run your program with python scourgify.py before.csv after.csv. Assuming before.csv exists, your program should create a new file, after.csv, whose columns should be, in order, first, last, and house.

Hello I want to prefix my code with one leading 0:

My image is blown out. It is not dark its mostly light.

Ceaser program is meant to take your text , add the inputted key to it and display the cyphered text. My code adds 16 to whatever key i input.

def petrol(): while True: try: fract = input(‘Enter fraction here ‘) x , y = fract.split(‘/’) a = int(x) b = int(y) k = int(a*100/b) if 0<= k <=1: print(‘E’) if 1 <= k <=99: print(k,”%”, sep =”) if 99< k<=100: print(“F”) if k > 100: return False except (ValueError, ZeroDivisionError ,): pass I’m trying […]

#include<stdio.h> #include<cs50.h> #include<ctype.h> #include<string.h> int main(int argc,string argv[]){ if(argc==2) //to make sure there’s only one string after ./caesar { int digit=0,key=0; for(int i=0,n=strlen(argv[1]);i<n;i++) { if(argv[1][i]>=’0′ && argv[1][i]<=’9′) { digit= argv[1][i]-‘0′; key=key*10+digit; } else{ printf(“Usage: ./caesar keyn”); return 1; } } string text=get_string(“plainttext: “); printf(“ciphertext: “); key=key%26; for(int i=0,n=strlen(text);i<n;i++){ if(islower(text[i])) { text[i]=text[i]+key; if(text[i]>’Z’) { text[i]=text[i]-26; } […]

I am suck in this problem for 3 weeks and it blows my mind
problem in many cases , specially case insensitive
please help
in the functions of load or check or hash
and also problem with dealing with max length

On the left column are the movie titles, and on the right column are the actors’ names. I don’t know why these movies match only 4 times or 8 times and not other numbers, and why there is such a duplication. Thank u very muchenter image description here

I am going insane over the 3.sql Query concerning the “Dese” Problem in Problem Set 1 of CS50 SQL.

I have been stuck on this for hours. When I run it it says this
dna.py exists
🙂 correctly identifies sequences/1.txt
🙂 correctly identifies sequences/2.txt
🙁 correctly identifies sequences/3.txt
expected “No matchn”, not “Bobn”
🙂 correctly identifies sequences/4.txt
🙂 correctly identifies sequences/5.txt
🙂 correctly identifies sequences/6.txt
🙁 correctly identifies sequences/7.txt
expected “Ronn”, not “Petunian”
🙂 correctly identifies sequences/8.txt
🙂 correctly identifies sequences/9.txt
🙂 correctly identifies sequences/10.txt
🙂 correctly identifies sequences/11.txt
🙂 correctly identifies sequences/12.txt
🙁 correctly identifies sequences/13.txt
expected “No matchn”, not “Petunian”
🙂 correctly identifies sequences/14.txt
🙂 correctly identifies sequences/15.txt
🙁 correctly identifies sequences/16.txt
expected “No matchn”, not “Albusn”
🙂 correctly identifies sequences/17.txt
🙁 correctly identifies sequences/18.txt
expected “No matchn”, not “Lavendern”
🙂 correctly identifies sequences/19.txt
🙂 correctly identifies sequences/20.txt