How to implement Binary Search in Python

No problem here is the explanation what 10 lines of python code can do. Here we have used python turtle library which is used to design in python. With the little help of maths and python turtle library you can draw many cool designs. Like i have used in these reel. #python #programming #coding

Learning Python in public is proving to be a challenging experience. While the process can be intimidating and frustrating at times, the positive feedback received from others is encouraging. Editing the footage is a crucial step, as condensing lengthy struggles ensures a more engaging viewing experience. Sometimes, the most valuable lessons come from pushing through discomfort and sharing the journey with others. #Python #Programming #LearningInPublic #CodingJourney

🔥 Day 9/300 – Revising Hashing Fundamentals in Python! Today’s Progress: Revised Character Hashing 💡 Went through how hashing helps store and count frequencies of characters in an efficient way 🔢 Revisiting this concept really helps in solving string, array, and frequency-based problems with better time complexity ⚡ Every revision sharpens the logic and builds a stronger DSA foundation 💻 Step by step, consistency is turning into mastery 🚀 #Python #DSA #Hashing #CodingJourney #ProblemSolving #Programming #Learning #Consistency #TechGrowth

🚀 Day 17 of my #100DaysOfCode Journey – Object-Oriented Programming in Python 🐍 Today, I explored Inheritance, Method Overriding, and Polymorphism — three key pillars of Object-Oriented Programming (OOP). Here’s what I practiced today: ✅ Single Inheritance – Building a Student class that inherits from a Person class. ✅ Method Overriding – Defining specific behavior for Rectangle in a Shape hierarchy. ✅ Polymorphism – Allowing multiple Animal objects (Dog, Cat) to behave differently with the same method call. 💡 Key Takeaway: “OOP makes code more organized, reusable, and easier to maintain.” #Python #OOP #100DaysOfCode #LearningJourney #CodingEveryday #SoftwareDevelopment #Inheritance #Polymorphism #Programming

🚀 Day 17 of my #100DaysOfCode Journey – Object-Oriented Programming in Python 🐍 Today, I explored Inheritance, Method Overriding, and Polymorphism — three key pillars of Object-Oriented Programming (OOP). Here’s what I practiced today: ✅ Single Inheritance – Building a Student class that inherits from a Person class. ✅ Method Overriding – Defining specific behavior for Rectangle in a Shape hierarchy. ✅ Polymorphism – Allowing multiple Animal objects (Dog, Cat) to behave differently with the same method call. 💡 Key Takeaway: “OOP makes code more organized, reusable, and easier to maintain.” #Python #OOP #100DaysOfCode #LearningJourney #CodingEveryday #SoftwareDevelopment #Inheritance #Polymorphism #Programming

Day-23 💻 Python Learning Update! Today I practiced writing string manipulation programs in Python — a great way to sharpen logic and problem-solving skills! 🧠💻 Here’s what I worked on: 1️⃣ A program to reverse the order of words in a given string. 2️⃣ A program to capitalize each word in a sentence without using the built-in title() method. 3️⃣ A program to split text into words without using the split() method. These exercises helped me understand how to work with loops, slicing, and conditions to solve problems creatively — without depending on predefined functions. 🚀 #Python #CodingJourney #LearningToCode #Programming #FullStackDevelopment #ContinuousLearning #LogicBuilding

In Python, strings are one of the most commonly used data types. They come with a variety of built-in methods that make text manipulation super easy and powerful. Here are a few commonly used String Methods 👇 String methods never change the original string; they return a new string. #Python #Coding #Learning #Programming #DataScience #LinkedInLearning #PythonBasics Yash Wadpalliwar Fireblaze AI School - Training and Placement Cell Harish K Namita Hedaoo

📘 Day 21 of My #50DaysOfPython Challenge 🐍 ✅ Task: Find the Most Frequent Element in a List Today’s challenge helped me understand how to analyze data inside a list using Python dictionaries. 🔍 What I learned: 🔸 How to count frequencies using a dictionary 🔸 How to iterate efficiently through a list 🔸 How to use max() with key=frequency.get 🔸 How Python handles key–value based comparisons 🧪 Example: If the input is: 2 3 5 3 2 3 4 2 2 The program identifies 2 as the most frequent element with 4 occurrences. 💡 Key takeaway: This problem strengthened my understanding of how dictionaries can make counting and data analysis much easier in Python. #Python #CodingChallenge #50DaysOfPython #Programming #CodingJourney

💡 Learning Loops in Python — A Journey of Control Flow Today I explored one of the most important concepts in Python — loops and their control statements: continue, break, and pass. 🔁 Loop helps us execute a block of code repeatedly until a certain condition is met. ⚡ continue skips the current iteration and moves to the next one. ⛔ break stops the loop completely when a condition is satisfied. 🕳️ pass acts as a placeholder when we don’t want any action to be performed. These small yet powerful statements help make programs more efficient and logical. Learning how to control the flow of a program gives more flexibility and makes code cleaner and smarter! 💻✨ #Python #Coding #LearningJourney #DataScience #Programming #PythonTips #CareerGrowth

🎃 Heap Sort Algorithm in Action 🎯 Take a deep dive into one of the most efficient comparison-based sorting algorithms — Heap Sort. 💡 I've created a complete walk-through PDF that explains how the Heap Sort algorithm works — from building a binary heap to sorting elements step by step. 🔹 How a binary heap is built 🔹 Step-by-step heapify and swap operations 🔹 How elements are extracted and sorted efficiently 🔹 Python implementation 🔹 etc. 🔗 Code on GitHub: https://lnkd.in/dwx6rmYi 📄 Check out the full PDF to see the how the algorithm works. #Algorithms #HeapSort #DataStructures #Python #ComputerScience #Programming #Code #Sorting #SortingAlgorithms #Heap