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What is data science in simple words?

What is data science in simple words? Let’s understand what data science is in simple words with an example. Imagine you and your friends were debating on a single topic. The topic: Does Social Media Usage Impact Mental Health? Now you were saying it does and your friend said it is just a rumour. And…

Python Symmetric Difference HackerRank Challenge

If you are learning Python and practising coding challenges, this Python symmetric difference tutorial using a HackerRank challenge is perfect. In this tutorial, we solve a HackerRank problem where we count students who subscribe to either the English or French newspaper, but not both. Using the symmetric difference operation in Python makes this problem simple…

Python set difference() Full Explanation with HackerRank Solution

Python set difference() Explained with Full Step-by-Step Solution Python set difference() allows you to compare two sets and find the elements that are in one set but not in the other. This guide explains how Python set difference() works, why it is useful, and how beginners can apply it to solve coding challenges with clear…

7 Top Benefits of Cross-Functional Skills for Data Work

As companies are data-dependent, obviously, every company needs it in today’s world. From marketing and sales to operations and customer service, data is central to how every department identifies problems, makes decisions, and plans for the future. When people have cross-functional skills, it is when the real impact of data happens. These skills enable an individual to carve…

Python Functions for Beginners: Complete Guide With Examples

Python functions make it easier to break up a big program into smaller, easier-to-manage parts. When writing longer scripts, repeating the same code becomes confusing. Functions, which let you write the logic once and run it whenever necessary, solve this. As a result, your code is kept neat, organized, and easier to maintain. A function…

User Defined Functions in Pandas With Real Use Cases

User defined functions in pandas help you handle logic that built-in Pandas tools do not support. Real datasets from different industries follow rules that change from project to project, so you often need your own processing method. A UDF lets you write custom logic and apply it to a column or an entire row. This…

Integers Come in All Sizes HackerRank Python Solution

Integers Come in All Sizes HackerRank Python Solution Integers Come in All Sizes HackerRank is one of the smartest “easy” problems you’ll ever solve. It looks tiny, but it instantly shows why Python is unbeatable when numbers get massive. Step 1: Problem Statement – Integers Come in All Sizes HackerRank You get four numbers, each…

Transformers and Hugging Face Pipelines – Python Tutorial

Transformers and Hugging Face Pipelines: Python Tutorial Transformers and Hugging Face Pipelines help a computer understand text with smart steps. You see text in chats, homework, comments, and stories. A computer needs clear rules to read this text. A transformer model reads the whole sentence together and learns how each word relates to the next….

Date Handling in Pandas in Easy Steps

Date Handling in Pandas in Easy Steps Date handling is part of most data projects. You sort timelines, filter periods, and calculate gaps. Pandas gives you direct tools for this. This guide walks you through each step in a simple way so you understand what the code does and why it matters. Start Your Date…

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