A deque (short for “double-ended queue”) is a data structure from the collections module in Python that allows you to add and remove elements from both ends efficiently. It is a versatile and high-performance alternative to lists for certain use cases, especially when you need fast appends and pops from both ends of the queue. […]
choice() in Python
The choice() function in Python is part of the random module, which provides various functions for generating random numbers and performing random operations. The choice() function is used to select a random item from a non-empty sequence (like a list, tuple, or string). 1. Importing the random Module Before using choice(), you need to import […]
Class-based Views vs Function-Based Views in Django
In Django, views are a fundamental part of handling HTTP requests and returning HTTP responses. Django provides two primary ways to define views: class-based views (CBVs) and function-based views (FBVs). Both approaches have their advantages and use cases, and understanding the differences can help you choose the right approach for your project. 1. Function-Based Views […]
Python Data Analytics
Data analytics involves examining datasets to draw conclusions and make decisions based on data insights. Python is a powerful language for data analytics due to its rich ecosystem of libraries and tools that simplify data manipulation, analysis, and visualization. Here’s an overview of the key components involved in Python data analytics: 1. Key Libraries for […]
How to Read Contents of PDF Using OCR in Python
Optical Character Recognition (OCR) is a technology used to convert different types of documents—such as scanned paper documents, PDFs, or images—into editable and searchable data. To perform OCR on a PDF file in Python, you typically need to extract images from the PDF and then apply OCR to those images. The common libraries used for […]
Python JSON
JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write, and easy for machines to parse and generate. It is commonly used for transmitting data in web applications, often as a way to encode data in an API. Python provides a built-in module called json to […]
Decorators with Parameters in Python
In Python, decorators are a powerful feature that allows you to modify the behavior of functions or methods. A decorator with parameters is an extension of this concept, where you can pass arguments to the decorator itself. This provides greater flexibility in how decorators are applied and how they modify function behavior. 1. Basic Decorators […]
Python Pexpect Module
The pexpect module in Python is used for controlling and automating interactive applications. It allows you to spawn child processes, send input to them, and expect specific outputs. This module is particularly useful for automating command-line interactions and testing scripts that require interaction with external programs. 1. Installing Pexpect To use pexpect, you need to […]
Python PyLab Module
The pylab module is part of the Matplotlib library, which is used for creating static, animated, and interactive visualizations in Python. pylab is a convenience module that combines functionalities from matplotlib.pyplot and numpy, making it easier to perform mathematical operations and plotting in a streamlined manner. However, it is worth noting that using pylab is […]
Convert String to JSON in Python
In Python, converting a string to a JSON object is a common task, especially when working with data that is exchanged between web applications or APIs. This can be done using the json module, which provides methods to parse JSON strings and convert them into Python objects. 1. Importing the json Module First, you need […]