Mukesh Inukula’s Post

🚀 Solved today’s GeeksforGeeks POTD: URLify 🔥 Problem: Replace all spaces in a string with "%20". Approach: ✔ Used Python’s built-in "replace()" for clean and efficient solution ✔ Also explored manual iteration for better understanding 💡 Key Insight: Simple string problems build strong fundamentals and improve coding speed 🚀 ⚡ Time Complexity: O(n) Consistency is the real game changer 💯 #geeksforgeeks #dsa #python #coding #problemSolving #strings #npci#60daysofcode

🚀 Solved today’s GeeksforGeeks Problem of the Day: Intersection of Two Sorted Arrays using Python 🐍 Problem: Find the distinct common elements between two sorted arrays. Approach: Used the efficient Two Pointer Technique 👇 ✔ Traverse both arrays simultaneously ✔ Compare elements and move pointers accordingly ✔ Skip duplicates to ensure unique results 💡 Key Insight: Since arrays are already sorted, we can avoid extra data structures and solve it in O(n + m) time. 💡 Concepts Used: Two Pointers | Arrays | Duplicate Handling This problem is a great example of how understanding input properties (sorted arrays) can drastically optimize your solution 🚀 #geekstreak60 #geeksforgeeks #dsa #python #coding #problemSolving #arrays #twopointers

🚀 Day 4 of #LeetCode Challenge 🔍 Problem: Reverse Integer 💡 Approach: Reversed the integer digit by digit using modulo (%) and division (/). Extract last digit using % 10 Build reversed number using rev * 10 + digit Handle negative numbers using abs() Checked for 32-bit overflow condition 🧠 Key Concept: Digit manipulation + overflow handling without using extra space. 🔥 #Day4 #LeetCode #Python #DSA #CodingJourney #Consistency

🚀 Day 11 of My Python + DSA Journey Today’s problem was all about greedy approach👇 ✅ Jump Game (#55) 💡 Jump Game Check if you can reach the last index 🔍 Approach: Tracked maximum reachable index → if current index exceeds it, return False ⏱ O(n) time | O(1) space 🔥 What I learned today: • Greedy approach can simplify complex problems • Tracking max reach avoids unnecessary checks • Early exit conditions improve efficiency Turning logic into faster decisions ⚡ #Day11 #LeetCode #Python #DSA #CodingJourney #100DaysOfCode

Remove all spaces from a given string while preserving the original order of characters. The objective is to efficiently clean the string by eliminating whitespace without altering character sequence, a common requirement in data preprocessing and text handling. #geekstreak60 #npci #Python #Coding #ProblemSolving #StringManipulation

Day 50/60 #geekstreak60 Solved Intersection of Two Sorted Arrays today. A simple yet important problem that highlights the efficiency of the two-pointer approach — allowing us to find common elements in O(n + m) time while handling duplicates smartly. Problems like these may look basic, but they strengthen core DSA thinking and improve logic with every step. 💻 #geekstreak60 #npci #DSA #Python #ProblemSolving #CodingJourney

Solved the classic URLify problem today 🚀 The task was to replace every space in a string with “%20”. Used Python’s built-in string replace method to handle it efficiently in linear time. It’s a simple problem, but a great reminder that knowing your language’s built-in functions can lead to cleaner and more optimized solutions. Key takeaway: Sometimes the best solution is the simplest one. Implementation: https://htmlify.me/r/fux4 #Python #DSA #Programming #ProblemSolving #CodingJourney

Task 4: Fibonacci Sequence Math meets Code! 🧮 For Level 2 Task 4 with @Cognifyz Technologies, I worked on the classic Fibonacci Sequence. I wrote a Python function that generates the Fibonacci sequence up to a given number of terms requested by the user. Watch the code execution below! 👇 #cognifyztechnologies #cognifyz #cognifyztech #Python #Algorithms

Loops in Python look simple. 🐍 💻 But they save you hours. Instead of repeating tasks, you let the code do it for you. I made a short (10-page) tutorial focused on loops - simple and practical. Comment “loops” if you want it 👇 #Python #Programming #CodingBasics #LearnPython #Automation #AI #TechSkills #FreelancerLife

Most RAG systems work fine… until you try to scale them. When you start handling real workloads—bulk ingestion, embedding generation, multiple retrieval calls—performance becomes the real challenge. This is where multithreading, multiprocessing, and the GIL come into play. https://lnkd.in/ginRwDpD #RAG #Python #Multithreading #Multiprocessing #GIL