Found 27104 Articles for Server Side Programming

Efficiently processing incoming request data is an important aspect of web development, and Flask offers developers an intuitive solution for handling and managing client−sent data. As a widely−used micro web framework for Python, Flask simplifies the entire process, whether it involves form submissions, AJAX requests, or API calls. Leveraging the powerful features of Flask, developers can effortlessly access and process diverse types of incoming data, including form data, JSON payloads, and query parameters. This article divides into a comprehensive exploration of various techniques and provides practical examples to effectively handle incoming request data in Flask. From leveraging the request ... Read More

Python is a dynamic and skilled programming language that supports object−oriented programming (OOP). At the heart of OOP is the concept of objects, which are instances of a class. Classes in Python serve as blueprints for creating objects with specific attributes and methods. One common use case in OOP is to create a list of objects, where each object represents a unique instance of the class. In this article, we will talk about the process of creating a list of objects within a Python class. We will discuss the essential steps involved, including defining a class, creating objects of that ... Read More

Python is a great programming language widely used for various data manipulation tasks. When working with files and folders, it can be useful to generate a list of all the files, folders, and subfolders within a directory. Excel, on the other hand, is a popular spreadsheet application that allows users to organize and analyze data. In this detailed article, we will explore step−by−step how to use Python to create a comprehensive list of files, folders, and subfolders in Excel, providing a convenient way to manage and analyze file structures. So make sure to stick with this till the end. Prerequisites ... Read More

Introduction The text discusses the concept of a model in machine learning, its various forms, and how to evaluate its accuracy. It explains accuracy as a common evaluation metric used in machine learning and its limitations and provides an example of a Python program that demonstrates how to check the accuracy of a machine−learning model. The text also explains model accuracy as a performance metric for classification models and its usefulness in evaluating the overall performance of a model, while cautioning that other metrics may be more appropriate in certain situations. Model in Machine Learning In machine learning, ... Read More

Introduction Parsing datetime strings is a typical job when working with time and date information in Python. Traditional datetime forms, however, may not be sufficient as our requirement for precision grows. This is when nanoseconds enter the picture. Nanoseconds are the smallest unit of measurement of time, allowing for highly exact temporal computations. Parsing datetime strings with nanosecond precision is critical in various applications, including scientific investigations and financial data processing. Understanding Nanoseconds Nanoseconds, or one billionth of a second, provide fantastic clarity. It is crucial when timing precision is essential for example high−frequency trading or scientific ... Read More

Introduction Finding out if a requested page is on a server or not is essential in the field of web development and data retrieval. Python offers a variety of methods to check whether a particular page is present on a server thanks to its flexible features. Developers may quickly determine whether a given page is available on the server by using the robust libraries and techniques of Python. This article explores different approaches to perform page existence tests using Python. The usage of popular HTTP libraries like requests, web scraping techniques that make use of libraries like BeautifulSoup, ... Read More

Introduction The effective completion of computationally difficult jobs is essential for developers and data scientists in today's fast−paced digital environment. Fortunately, Python offers strong capabilities for parallel processing because of its adaptability and wide ecosystem. We can get large performance improvements by splitting up difficult issues into smaller, more manageable activities that can be carried out concurrently. Python's parallel processing features allow us to work more quickly and effectively on activities like web scraping, scientific simulations, and data analysis by utilizing the available computer resources. We'll set off on a voyage via Python parallel processing in this ... Read More

Introduction The parsing, formatting, and validation of phone numbers are made easier with the Python phonenumbers package. This module gives developers a robust set of tools to handle phone numbers in a standardized manner because it is based on Google's libphonenumber package. The phonenumbers module may extract phone numbers from user inputs, verify their accuracy, and format them in accordance with international standards. In this post, we'll examine the numerous features and capabilities that the phonenumbers module has to offer and go into real−world applications to show how to use them. We will explore the features of this ... Read More

Introduction The parsing, formatting, and validation of phone numbers are made easier with the Python phonenumbers package. This module gives developers a robust set of tools to handle phone numbers in a standardized manner because it is based on Google's libphonenumber package. The phonenumbers module may extract phone numbers from user inputs, verify their accuracy, and format them in accordance with international standards. In this post, we'll examine the numerous features and capabilities that the phonenumbers module has to offer and go into real−world applications to show how to use them. We will explore the features of this ... Read More

A palindromic string is a string that is equal to its reverse string. We are given a string that contains ‘0’, ‘1’, and ‘2’ and an array Q of length N and each index of the given array indicates a range in the form of pairs. We have to find the minimum number of characters that are needed to replace in the given range such that none of the palindromic substrings remains in that range. Sample Example Input1: string s: “01001020002”, int Q = {{0, 4}, {2, 5}, {5, 10}}; Output: 1 1 3 Explanation For the range ... Read More