python

pattern program in python

Learn Pattern Program in Python - Examples and Code Explanation

What are Pattern Programs in Python? Patterns programs consist of alphabets, numbers or symbols in a particular structure. These programs enhance the logic, looping concepts and coding skills. They are primarily asked questions in the technical interviews in order to test a programmer's thinking and logic building skill. To be able to solve pattern questions, […]

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21 open source python libraries

Top 30 Python Libraries To Know

Contributed by: Shveta Rajpal Python Libraries are useful functions that eliminate the need to write code from scratch. Over 137,000 Python libraries are present today, and they play a vital role in developing machine learning, data science, data visualization, image and data manipulation applications, and more. Let us briefly introduce the Python Libraries and directly

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python dictionary append

Python Dictionary Append: How To Add Key/Value Pair?

Ever found yourself needing to add new key-value pairs to a Python dictionary?  As one of Python's most versatile data structures, dictionaries offer a powerful way to store and modify data in a key-value format.  But how exactly can we append new values to an existing dictionary?  While dictionaries lack an append() method like lists, several

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web scraping projects

Top 10 Web Scraping Projects of 2025

Introduction: Undoubtedly, web scraping has gained wide popularity and acceptance these days. Nevertheless, you can make a nice career and earn well as a full-time or freelance web scraper. The web contains all the information irrespective of the industry, making Web Scraping quite essential. This information provides actionable insights for businesses to modify one's business

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label encoding in python

Label Encoding in Python

Introduction Label encoding is a technique used in machine learning and data analysis to convert categorical variables into numerical format. It is particularly useful when working with algorithms that require numerical input, as most machine learning models can only operate on numerical data. In this explanation, we'll explore how label encoding works and how to

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