Programming Articles

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Python - Multiple Keys Grouped Summation

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 241 Views

Multiple keys grouped summation involves grouping data by multiple keys and calculating the sum of values for each group. This is commonly used in data analysis when you need to aggregate values based on multiple criteria. Understanding the Problem In multiple keys grouped summation, we have tuples where the first element is a value and the remaining elements form a composite key. Our task is to group tuples with the same composite key and sum their values. For example, given data like (1000, 2022, 1), we treat (2022, 1) as the key and 1000 as the value ...

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Python - Multiple Column Sort in Tuples

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 630 Views

In Python, sorting tuples by multiple columns means organizing data based on several criteria in priority order. Python provides elegant solutions using the sorted() function with custom sorting keys. Understanding Multiple Column Sorting When sorting tuples by multiple columns, Python first sorts by the first specified column, then by the second column for ties, and so on. Each tuple represents a row of data ? # Example: Sort by first column, then by second column data = [(5, 8), (4, 6), (2, 5), (7, 9), (5, 3)] sorted_data = sorted(data) print("Original:", data) print("Sorted:", sorted_data) ...

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Python - Multimode of List

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 304 Views

In Python, finding the multimode of a list means identifying all elements that occur with the highest frequency. Unlike mode (single most frequent element), multimode returns all elements tied for the highest count. Using statistics.multimode() Python's statistics module provides a built-in multimode() function that returns all most frequent elements ? import statistics numbers = [9, 8, 8, 7, 7, 7, 6, 6, 6, 6] result = statistics.multimode(numbers) print("Multimode:", result) print("Most frequent element appears:", numbers.count(result[0]), "times") The output of the above code is ? Multimode: [6] Most frequent element appears: 4 times ...

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Multiply K to every Nth element using Python

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 238 Views

In this problem, we need to multiply K to every Nth element in a given list using Python. We'll explore two approaches: using basic Python and using NumPy for efficient array operations. Understanding the Problem We have a list and need to multiply a constant K with elements at positions that are multiples of N. For example, if N=2, we multiply every 2nd element (positions 2, 4, 6, etc.) by K. Multiply K=3 to every 2nd element (N=2) Original: ...

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Multiply Consecutive elements in a list using Python

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 276 Views

In Python, multiplying consecutive elements in a list means creating pairs of adjacent elements and multiplying them together. This creates a new list with one less element than the original. Original List: 3 6 9 12 15 3 × 6 ...

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How to multiply two lists in Python?

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 2K+ Views

In Python, multiplying two lists means performing element-wise multiplication of corresponding items. This operation is useful for data preprocessing, scaling values, and mathematical computations. We'll explore three approaches: for loops, list comprehension, and NumPy. Understanding Element-wise Multiplication Element-wise multiplication takes corresponding items from two lists and multiplies them together. For example, if we have [2, 4, 6] and [3, 5, 7], the result would be [6, 20, 42]. List 1: 2 4 6 List ...

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Python - Move Word to Rear end

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 232 Views

Moving a word to the rear end of a string means relocating a specific word from its current position to the end of the string. Python provides several approaches to accomplish this task efficiently. Understanding the Problem When we move a word to the rear end, we need to: Identify and remove the target word from its current position Append the word to the end of the remaining string Maintain proper spacing in the final result Original: "Hello dear friends, You are reading this article" Target word: "reading this" ...

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Python - Minimum Product Pair in List

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 211 Views

In this problem, we need to find the pair of numbers from a list that produces the minimum product when multiplied together. Python provides several approaches to solve this using built-in functions like min() and modules like itertools. Understanding the Problem We need to find the pair of numbers whose multiplication is minimum compared to all other possible pairs. For example, given the list [1, 4, 3, 5, 1, 2, 8, 9], the pair (1, 1) has the minimum product of 1. Method 1: Using List of Tuples When we already have pairs as tuples, we ...

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Python - Minimum in tuple list value

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 319 Views

Finding the minimum value from a tuple list is a common task in Python. A tuple list contains multiple tuples as elements, and we often need to extract minimum values based on specific criteria or positions within those tuples. What is a Tuple List? A tuple list (or list of tuples) is a data structure where each element in the list is a tuple. Here's a simple example ? data = [('x', 4), ('y', 8), ('z', 12)] print(data[1]) # Access second tuple ('y', 8) This structure allows us to combine ...

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Python - Minimum in each record value list

Nikitasha Shrivastava
Nikitasha Shrivastava
Updated on 27-Mar-2026 205 Views

When working with nested lists in Python, finding the minimum value in each sublist is a common task. This article explores three different approaches to extract minimum values from each record in a list of lists. Understanding the Problem Given a list containing multiple sublists, we need to find the minimum value from each sublist. For example, if we have [[8, 10, 12], [12, 14, 16], [17, 18, 19]], the minimum values are 8, 12, and 17 respectively, giving us the result [8, 12, 17]. Method 1: Using List Comprehension with min() The most Pythonic approach ...

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