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In Python, strings are a fundamental data type used to represent sequences of characters. They are enclosed in single quotes ('') or double quotes ("") and offer a wide range of operations and methods for manipulation Example Assume we have taken an input string. We will now find the maximum scoring word from an input string using the above methods. Input inputString = "hello tutorialspoint python users and learners" Output Resultant maximum scoring word from the input string: tutorialspoint In the above input string, the sum of characters' positional values of the word tutorialspoint is having the ... Read More
In Python, a dictionary is a built-in data structure that stores data in key-value pairs. It allows efficient retrieval and modification of values based on their corresponding keys. Each key in a dictionary must be unique, and it is associated with a specific value. A dictionary of lists is a dictionary where the values associated with each key are lists. This means that each key maps to multiple values, and those values are stored as elements within a list. On the other hand, a list of dictionaries is a list that contains multiple dictionaries as its elements. Each dictionary within ... Read More
NumPy is a Python library for numerical computing that provides efficient array operations, and numpy.reshape() is a function used to change the shape of an array, with -1 indicating an inferred dimension. When working with arrays, we frequently get into instances where we need to modify the shape of the array, but doing so requires copying the data first, then arranging it into the required shape which is time taking. Fortunately, Python has a function called reshape() that may help with this. Example 1: Find Unknown Dimensions in Numpy We are only allowed to have one "unknown" dimension while we ... Read More
The meaning of value key assignment in Python is the process of associating a value with a specific key within a dictionary, allowing efficient retrieval and manipulation of data based on key-value pairs. It enables the creation and organization of structured data structures for various purposes Python's implementation of a data structure known more commonly as an associative array is a dictionary. A dictionary is made up of a group of key-value pairs. Each key-value combination corresponds to a key and its corresponding value. Example Assume we have taken two input dictionaries with the same keys. We will now compare ... Read More
A byte string is similar to a string (Unicode), except instead of characters, it contains a series of bytes. Applications that handle pure ASCII text rather than Unicode text can use byte strings. Converting a byte string to a list in Python provides compatibility, modifiability, and easier access to individual bytes. It allows seamless integration with other data structures, facilitates modification of elements, and enables efficient analysis and manipulation of specific parts of the byte string. Demostration Assume we have taken an input byte string. We will now convert the given byte string to the list of ASCII values ... Read More
The following article provides an in depth explanation of the method used to modify a number by toggling its first and last bit using bitwise operators. A bitwise operator is an operator that can be used to manipulate individual bits in binary numbers or bit patterns. Problem Statement For a given number n, modify the number such that the first and the last bit of the binary expansion of the new number are flipped i.e. if the original bit is 1 then the flipped bit should be 0 and vice versa. All the bits between the first and the last ... Read More
Natural numbers are numbers that start from 1 and include all the positive integers. The following article discusses two possible approaches to compute the sum of the fifth powers of the first n natural numbers. The article discusses the two approaches in detail and compares them with regards to efficiency and intuitiveness. Problem Statement The purpose of this problem is to compute the arithmetic sum of the first n natural numbers, all raised to their fifth power i.e. $\mathrm{1^5 + 2^5 + 3^5 + 4^5 + 5^5 + … + n^5}$ till the nth term. Examples Since n is a ... Read More
A number is considered to be pernicious if the number is a positive integer and the number of set bits in its binary expansion are prime. The first pernicious number is 3, as 3 = (11)2. It can be seen that the number of set bits in the binary representation of 3 are 2, which is a prime number. The first 10 pernicious numbers are 3, 5, 6, 7, 9, 10, 11, 12, 13, 14. Interestingly, powers of 2 can never be pernicious since they always have only 1 set bit. 1 is not a prime number. On the other ... Read More
A number is considered to be an odious number if it has an odd number of 1s in its binary expansion. The first 10 odious numbers are 1, 2, 4, 7, 10, 11, 13, 14, 16, 19, 21. Interestingly, all powers of 2 are odious since they have only 1 set bit. The following article discusses 2 approaches in detail to find whether a number is an odious number or not. Problem Statement This problem aims to check whether the given number is an odious number i.e. it is a positive number with an odd number of set bits in ... Read More
An array(list) of comma-separated values (items) enclosed in square brackets is one of the most flexible data types available in Python. The fact that a list's elements do not have to be of the same type is important. In this article, we will learn a python program to check if any key has all the given list elements. Example Assume we have taken an input dictionary and a list. We will now check whether the values of any key of the input dictionary contain given list elements using the above methods. Input inputDict = {'hello': [4, 2, 8, 1], 'tutorialspoint': ... Read More