Introduction to Python Variables A variable is a named location in memory that can be used to store data. In Python, variables are created when they are assigned a value. For example, the following code creates a variable named x and assigns it the value 10:
1 x = 10 Once a variable has been created, it can be used to store data. For example, the following code stores the value 20 in the variable y:
Introduction XML (eXtensible Markup Language) is a widely used format for storing and transmitting data. In Python, there are several libraries available for manipulating XML, allowing developers to parse, create, modify, and write XML files. In this article, we will explore how to manipulate XML in Python, focusing on the xml.etree.ElementTree module and the xml.dom.minidom module. We will cover the basics of XML parsing, creating new XML documents, modifying existing XML files, and more.
Classes are an integral part of object-oriented programming (OOP) in Python. They provide a blueprint or template for creating objects, which are instances of a class. Understanding classes and their associated concepts, such as __init__, self, and more, is crucial for building modular and reusable code. In this article, we’ll delve into the details of classes in Python, explaining each concept along with examples.
Before we learn what is a class, lets look at what is an Object in Python.
Classes are an integral part of object-oriented programming (OOP) in Python. They provide a blueprint or template for creating objects, which are instances of a class. Understanding classes and their associated concepts, such as __init__, self, and more, is crucial for building modular and reusable code. In this article, we’ll delve into the details of classes in Python, explaining each concept along with examples.
Before we learn what is a class, lets look at what is an Object in Python.
Parsing HTML Data with Python: A Comprehensive Guide HTML (Hypertext Markup Language) is the standard markup language used for creating web pages. When working with web scraping or web data analysis tasks, it is often necessary to parse HTML data to extract relevant information. In this article, we will explore various techniques and libraries available in Python for parsing HTML data.
Table of Contents Introduction to HTML Parsing HTML Parsing Techniques in Python Built-in HTML Parser BeautifulSoup lxml Parsing HTML Data with Examples Extracting Text Retrieving Attributes Navigating the HTML Structure Conclusion 1.
Introduction JSON (JavaScript Object Notation) is a lightweight data-interchange format widely used for storing and transmitting data. Python provides robust support for working with JSON data, allowing you to parse, manipulate, and serialize JSON easily. In this essay, we will explore various ways to work with JSON data in Python, accompanied by relevant examples.
Tip In powershell to read the values in an output, you’d specify something like Get-machine.count. In python you have to specify Get-machine[“count”].
Introduction In today’s digital age, accessing and retrieving data from the internet is a crucial task for many applications. Python, with its powerful libraries and tools, provides several methods to fetch data from URLs. In this article, we will explore the various ways to fetch URL data using Python, along with examples to demonstrate each method.
Using the urllib module: The urllib module in Python’s standard library offers multiple modules that allow us to handle URLs.
Introduction to Datetime in Python Datetime is an essential module in Python programming that deals with dates, times, and time intervals. It provides classes for working with dates and times, including date, time, datetime, timedelta, and tzinfo. The datetime module in Python allows you to perform arithmetic operations on dates and times, compare them, format them, and convert them between different time zones. This article will provide an overview of the datetime module in Python, including its classes and methods, and provide examples to demonstrate how to work with dates and times using Python.
Working with the filesystem is an essential part of many programming tasks, especially when dealing with file input and output operations. Python provides several modules that can be used to interact with the filesystem, such as os, pathlib, and shutil. In this article, we will focus on the OS module, shutil module, and some basic file operations which provides a higher-level interface for working with files and directories.
Before diving into the specifics of the modules, let’s first discuss the basics of the filesystem in Python.
Palindrome 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 def IsPalindrome(newstr): if newstr == newstr[::-1]: print("It is palindrome") else: print("It is not palindrome") while True: userinput = input("Enter a word to test as palindrome: ") if userinput == "exit": break newstr = "" # Change the whole user input to lower case. You can also change it to upper case.
