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Sep 14, 2024rgannedo-6205
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More Python Posts

Display Calendar

May 31, 2023CodeCatch

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import calendar
# Prompt user for year and month
year = int(input("Enter the year: "))
month = int(input("Enter the month: "))
# Create a calendar object
cal = calendar.monthcalendar(year, month)
# Display the calendar
print(calendar.month_name[month], year)
print("Mon Tue Wed Thu Fri Sat Sun")
for week in cal:
for day in week:
if day == 0:
print(" ", end="")
else:
print(str(day).rjust(2), " ", end="")
print()

Shuffle Deck of Cards

May 31, 2023CodeCatch

0 likes • 1 view

import random
# Define the ranks, suits, and create a deck
ranks = ['Ace', '2', '3', '4', '5', '6', '7', '8', '9', '10', 'Jack', 'Queen', 'King']
suits = ['Hearts', 'Diamonds', 'Clubs', 'Spades']
deck = [(rank, suit) for rank in ranks for suit in suits]
# Shuffle the deck
random.shuffle(deck)
# Display the shuffled deck
for card in deck:
print(card[0], "of", card[1])

Distinct Primes Finder > 1000

Nov 18, 2022AustinLeath

0 likes • 3 views

primes=[]
products=[]
def prime(num):
if num > 1:
for i in range(2,num):
if (num % i) == 0:
return False
else:
primes.append(num)
return True
for n in range(30,1000):
if len(primes) >= 20:
break;
else:
prime(n)
for previous, current in zip(primes[::2], primes[1::2]):
products.append(previous * current)
print (products)

Color Gradient

Mar 10, 2021Skrome

0 likes • 1 view

color2 = (60, 74, 172)
color1 = (19, 28, 87)
percent = 1.0
for i in range(101):
resultRed = round(color1[0] + percent * (color2[0] - color1[0]))
resultGreen = round(color1[1] + percent * (color2[1] - color1[1]))
resultBlue = round(color1[2] + percent * (color2[2] - color1[2]))
print((resultRed, resultGreen, resultBlue))
percent -= 0.01

Fibonacci Series

Nov 18, 2022AustinLeath

0 likes • 8 views

#Python 3: Fibonacci series up to n
def fib(n):
a, b = 0, 1
while a < n:
print(a, end=' ')
a, b = b, a+b
print()
fib(1000)

Untitled

Jul 24, 2024AustinLeath

0 likes • 3 views

from statistics import median, mean, mode
def print_stats(array):
print(array)
print("median =", median(array))
print("mean =", mean(array))
print("mode =", mode(array))
print()
print_stats([1, 2, 3, 3, 4])
print_stats([1, 2, 3, 3])