AmitDiwan

AmitDiwan

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Python Program to Clear the Rightmost Set Bit of a Number

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 484 Views

When it is required to clear the rightmost set bit of a number, the bitwise AND (&) operator can be used with a clever mathematical property. This technique involves performing n & (n-1) which effectively removes the rightmost 1 bit from the binary representation. How It Works The operation n & (n-1) works because when you subtract 1 from a number, all bits to the right of the rightmost set bit get flipped, including the rightmost set bit itself. The AND operation then clears that bit. Binary Visualization Let's see how this works with number 6 ...

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Python Program to Search the Number of Times a Particular Number Occurs in a List

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 471 Views

When it is required to search the frequency of a number in a list, Python provides multiple approaches. You can define a custom method, use the built-in count() method, or utilize dictionary-based counting with collections.Counter. Method 1: Using Custom Function Define a function that iterates through the list and counts occurrences ? def count_num(my_list, x_val): my_counter = 0 for elem in my_list: if (elem == x_val): my_counter = ...

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Python Program to Determine all Pythagorean Triplets in the Range

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 2K+ Views

A Pythagorean triplet is a set of three positive integers a, b, c, such that a² + b² = c². The most famous example is 3, 4, 5 because 3² + 4² = 5² (9 + 16 = 25). This program finds all Pythagorean triplets where the hypotenuse c is within a given range. Understanding Pythagorean Triplets Pythagorean triplets can be generated using Euclid's formula: a = m² - n² b = 2mn c = m² + n² Where m > n > 0, and m and n are coprime integers. Example ...

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Python Program to Print Numbers in a Range (1,upper) Without Using any Loops

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 635 Views

When it is required to print numbers in a given range without using any loop, we can use recursion. This technique involves defining a function that calls itself with a decremented value until it reaches the base case. Below is the demonstration of the same − Example def print_nums(upper_num): if(upper_num > 0): print_nums(upper_num - 1) print(upper_num) upper_lim = 6 print("The upper limit is :") print(upper_lim) print("The numbers are :") print_nums(upper_lim) Output ...

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Convert Nested Tuple to Custom Key Dictionary in Python

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 741 Views

Converting a nested tuple to a custom key dictionary is useful when transforming structured data. We can use list comprehension to iterate through tuples and create dictionaries with custom keys. Syntax [{key1: item[0], key2: item[1], key3: item[2]} for item in nested_tuple] Example Here's how to convert a nested tuple containing employee data into dictionaries with custom keys ? my_tuple = ((6, 'Will', 13), (2, 'Mark', 15), (9, 'Rob', 12)) print("The tuple is:") print(my_tuple) my_result = [{'key': sub[0], 'value': sub[1], 'id': sub[2]} ...

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Flatten tuple of List to tuple in Python

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 411 Views

When working with nested tuple structures, you may need to flatten them into a single level of tuples. This involves recursively processing each element until all nested tuples are converted into individual tuples at the same level. The process uses recursion to traverse through nested structures and identify base cases where tuples contain exactly two non-tuple elements. Recursive Flattening Method Here's how to implement a recursive function to flatten nested tuples ? def flatten_tuple(my_tuple): # Base case: if tuple has 2 elements and first element is not a tuple ...

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Python program to Order Tuples using external List

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 408 Views

When you need to reorder tuples based on an external list, you can use dictionary conversion and list comprehension. This technique is useful when you have key-value pairs as tuples and want to sort them according to a specific order defined in another list. Example Here's how to order tuples using an external list ? my_list = [('Mark', 34), ('Will', 91), ('Rob', 23)] print("The list of tuple is:") print(my_list) ordered_list = ['Will', 'Mark', 'Rob'] print("The ordered list is:") print(ordered_list) temp = dict(my_list) my_result = [(key, temp[key]) for key in ordered_list] print("The ordered tuple ...

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Remove Tuples of Length K in Python

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 596 Views

When working with lists of tuples, you may need to remove tuples based on their length. Python provides several approaches to filter out tuples of a specific length K. Using List Comprehension List comprehension offers a concise way to filter tuples by length ? my_list = [(32, 51), (22, 13), (94, 65, 77), (70, ), (80, 61, 13, 17)] print("The list is:") print(my_list) K = 1 print("The value of K is:", K) my_result = [ele for ele in my_list if len(ele) != K] print("The filtered list is:") print(my_result) The ...

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Extract digits from Tuple list Python

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 750 Views

When working with tuple lists in Python, you might need to extract tuples where all elements have a specific number of digits. This can be achieved using list comprehension with the all() function and string length checking. Syntax result = [tuple for tuple in tuple_list if all(len(str(element)) == N for element in tuple)] Example Let's extract tuples where all elements have exactly 2 digits ? my_list = [(67, 2), (34, 65), (212, 23), (17, 67), (18, )] print("The list is:") print(my_list) N = 2 print("The value of N is:") print(N) ...

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Join Tuples if similar initial element in Python

AmitDiwan
AmitDiwan
Updated on 25-Mar-2026 582 Views

When you need to join tuples that have the same initial element, you can use a simple loop to check the first element of each tuple. The extend method helps combine elements from tuples with matching initial values. Example Let's see how to join tuples with similar initial elements ? my_list = [(43, 15), (43, 25), (66, 98), (66, 12), (64, 80)] print("The list is :") print(my_list) my_result = [] for sub in my_list: if my_result and my_result[-1][0] == sub[0]: my_result[-1].extend(sub[1:]) ...

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