• Jul 24, 2024 •AustinLeath
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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])
• Dec 18, 2025 •CodeCatch
def insertion_sort(arr): # Traverse through 1 to len(arr) for i in range(1, len(arr)): key = arr[i] # Move elements of arr[0..i-1], that are greater than key, # to one position ahead of their current position j = i - 1 while j >= 0 and key < arr[j]: arr[j + 1] = arr[j] j -= 1 arr[j + 1] = key # Example usage: arr = [12, 11, 13, 5, 6, 7, 8, 10] insertion_sort(arr) print("Sorted array is:", arr)
• Oct 7, 2022 •KETRICK
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x[cat_var].isnull().sum().sort_values(ascending=False)
• Nov 19, 2022 •CodeCatch
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""" Binary Search Algorithm ---------------------------------------- """ #iterative implementation of binary search in Python def binary_search(a_list, item): """Performs iterative binary search to find the position of an integer in a given, sorted, list. a_list -- sorted list of integers item -- integer you are searching for the position of """ first = 0 last = len(a_list) - 1 while first <= last: i = (first + last) / 2 if a_list[i] == item: return ' found at position '.format(item=item, i=i) elif a_list[i] > item: last = i - 1 elif a_list[i] < item: first = i + 1 else: return ' not found in the list'.format(item=item) #recursive implementation of binary search in Python def binary_search_recursive(a_list, item): """Performs recursive binary search of an integer in a given, sorted, list. a_list -- sorted list of integers item -- integer you are searching for the position of """ first = 0 last = len(a_list) - 1 if len(a_list) == 0: return ' was not found in the list'.format(item=item) else: i = (first + last) // 2 if item == a_list[i]: return ' found'.format(item=item) else: if a_list[i] < item: return binary_search_recursive(a_list[i+1:], item) else: return binary_search_recursive(a_list[:i], item)
• Nov 18, 2022 •AustinLeath
# Python Program to calculate the square root num = float(input('Enter a number: ')) num_sqrt = num ** 0.5 print('The square root of %0.3f is %0.3f'%(num ,num_sqrt))
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import pandas as pd x = pd.read_excel(FILE_NAME) print(x)