Found 27104 Articles for Server Side Programming

Chunked sum also known as partial sum or rolling sum, which is a process of calculating the sum of elements in a sequence such as list, array, or any iterable, in smaller chunks or subsets rather than calculating the sum of the entire sequence at once. Each chunk represents a group of consecutive elements from the sequence, and the sum is calculated for each chunk individually. For example, consider the sequence [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], and let's calculate the chunked sum with a chunk size of 3. Chunk 1: [1, 2, 3] → ... Read More

In mathematics, a bijection refers to a function that establishes a one-to-one correspondence between two sets. It means that each element in one set has a unique and distinct counterpart in the other set, and vice versa. In other words, a bijection ensures that there are no duplicates or missing elements in the mapping. In the view of programming, specifically Python, checking for a bijection often involves validating whether a one-to-one mapping exists between elements of two sequences or collections. For example, given two lists, A and B, we can check if there is a bijection between their elements by ... Read More

Covariance is the measure of two variables that defines how they are related to each other. In other words, it measures the extent to which one variable is associated with the changes in the other variable. When the covariance of the variables is positive, it implies that both variables are moving in the same direction i.e. if one variable tends to increase, as a result, the value of the other variable also increases. When the covariance of the variables is negative then it represents the two variables are moving in opposite direction i.e. if one variable increases the value ... Read More

Generally, a suffix refers to an affix or a group of letters that is added to the end of a word to modify its meaning or to form a new word. Suffixes are used in linguistics and grammar to create different word forms, such as plurals, verb tenses, comparatives, and more. Suffixes can change the meaning or function of a word in various ways. For example, the suffix "-s" added to the word "cat" forms the plural "cats, " indicating multiple cats. Similarly, the suffix "-ed" added to the verb "walk" creates the past tense "walked, " indicating an action ... Read More

A Dictionary is one of the data structures available in python which stores the data in the format of key and value pairs. It is mutable i.e., once the data is defined in the dictionary we can make the modifications on the data. It is an unordered collection of elements. The key in the dictionary is unique and the values can be duplicates. The key and value are separated by using the colon (:). On the other hand, a tuple is an ordered collection of elements, enclosed in parentheses (), separated by commas. It is immutable, which means the values ... Read More

Python NetworkX is a popular open-source Python library used for the creation, manipulation, and analysis of complex networks or graphs. It provides a wide range of tools, algorithms, and functions to work with graphs, making it a valuable resource for network analysis and research. Python NetworkX allows us to represent and work with different types of graphs, such as directed graphs, undirected graphs, multigraphs (graphs with multiple edges between nodes), and weighted graphs (graphs with edge weights). It also provides a simple and intuitive interface for creating, adding nodes and edges, and performing various operations on graphs. Installation and importing ... Read More

Generally, a string is an immutable data structure which is used to store the data in the string format within the single quotes or within the double quotes. It is immutable which means once the string is created the data in the string can’t be changed but can perform various operations on strings to manipulate the data A substring is a contiguous sequence of characters within a larger string. It is a smaller part of a string that can be extracted or searched within the original string. For example, let’s consider the string "Hello, World!" as the original string and ... Read More

Introduction Statistical modeling is a powerful technique used in data analysis to uncover patterns, relationships, and trends within datasets. By applying statistical methods and models, researchers and analysts can gain insights, make predictions, and support decision-making processes. R, a popular programming language for statistical computing and graphics, offers a wide range of tools and libraries for statistical modeling. In this article, we will delve into the world of statistical modeling with R, exploring its key concepts, techniques, and applications. Understanding Statistical Modeling Statistical modeling is the process of formulating mathematical representations or models that describe the underlying structure of data. ... Read More

Seaborn's 'axes_style()' function allows us to customize the style of plots by modifying various parameters. It returns a dictionary of parameters that control the appearance of the plot elements, such as colors, fonts, gridlines, and more. To view these parameters, we can print the dictionary returned by 'axes_style()'. Importing Required Libraries Before we begin, let's import the necessary libraries. We need to import Seaborn by using the following command. import seaborn as sns Viewing Parameters To view the available parameters in 'axes_style()', we can simply print the dictionary returned by the function. Example When we run the below code, ... Read More

Time complexity is a measure of time, which determines the time required for the algorithm to execute. It also checks how the running time is being increased when the size of the inputs is getting increased. The time complexity is represented with the notation capital O, which sets an upper bound in the worst case performance of an algorithm. Whenever we design an algorithm we should keep in mind not only about the correctness but also about the time complexity and performance characteristics. For example, if an algorithm has time complexity O(n) that would take twice of O(n) to execute ... Read More