• Sep 14, 2024 •rgannedo-6205
0 likes • 2 views
https://codecatch.net/post/06c9f5b7-1e00-40dc-b436-b8cccc4b69be
• May 31, 2023 •CodeCatch
# Prompt user for base and height base = float(input("Enter the base of the triangle: ")) height = float(input("Enter the height of the triangle: ")) # Calculate the area area = (base * height) / 2 # Display the result print("The area of the triangle is:", area)
• Oct 15, 2022 •CodeCatch
1 like • 2 views
my_list = ["blue", "red", "green"] #1- Using sort or srted directly or with specifc keys my_list.sort() #sorts alphabetically or in an ascending order for numeric data my_list = sorted(my_list, key=len) #sorts the list based on the length of the strings from shortest to longest. # You can use reverse=True to flip the order #2- Using locale and functools import locale from functools import cmp_to_key my_list = sorted(my_list, key=cmp_to_key(locale.strcoll))
• Sep 20, 2025 •cntt.dsc-f4b6
print(123)
• Apr 15, 2021 •NoahEaton
0 likes • 1 view
import anytree as at import random as rm # Generate a tree with node_count many nodes. Each has a number key that shows when it was made and a randomly selected color, red or white. def random_tree(node_count): # Generates the list of nodes nodes = [] for i in range(node_count): test = rm.randint(1,2) if test == 1: nodes.append(at.Node(str(i),color="white")) else: nodes.append(at.Node(str(i),color="red")) #Creates the various main branches for i in range(node_count): for j in range(i, len(nodes)): test = rm.randint(1,len(nodes)) if test == 1 and nodes[j].parent == None and (not nodes[i] == nodes[j]): nodes[j].parent = nodes[i] #Collects all the main branches into a single tree with the first node being the root for i in range(1, node_count): if nodes[i].parent == None and (not nodes[i] == nodes[0]): nodes[i].parent = nodes[0] return nodes[0]
• Jul 24, 2024 •AustinLeath
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])