Longest Repeating Character Replacement - Leetcode 424 Python скачать в хорошем качестве

Longest Repeating Character Replacement - Leetcode 424 Python

LeetCode "Medium" is the biggest gaslight in the tech industry. 🚩 Let’s talk about LeetCode 424: "Longest Repeating Character Replacement." When I first opened this problem, I thought, "Oh, string manipulation? Character replacement? I got this. I’ll just loop through, swap some letters, and call it a day." I coded up a beautiful Brute Force solution. It was readable. It was logical. It was my baby. I hit Submit. LeetCode replied with the dreaded Time Limit Exceeded (TLE). Basically, LeetCode told me: "Your logic is cute, but your code is slower than a snail traveling through peanut butter. Try again." 🐌 The reality is, LC 424 is the gatekeeper of the Sliding Window pattern. It’s that one problem that separates the "I know how arrays work" devs from the "I dream in O(N)" wizards. The specific headache: You have a window. You have k replacements. You need to expand the window to find the longest substring, but you also need to shrink it when you run out of replacements. The trickiest part? The condition to shrink the window: (Window Length) - (Count of Most Frequent Char) greater than k When you first see that formula, it feels less like programming and more like high school algebra coming back to haunt you. 📐 Many people (including past-me) get stuck trying to re-calculate the "Most Frequent Char" every single time the window slides. That turns your shiny O(N) solution into an O(N²) disaster. I spent way too long staring at my screen, hoping the code would optimize itself out of pity. (Spoiler: It didn't). So, I decided to fix this for everyone else. I created a deep-dive video on LeetCode 424 that saves you the headache I went through. In this video, I break down: Why your brute force approach is doomed. 💀 The intuition behind the "Sliding Window" (visualized, so it actually makes sense). How to optimize the frequency count so you aren't re-scanning arrays like a maniac. If you are tired of memorizing solutions and want to actually understand how to manipulate window pointers without crying, this is for you. Grab a coffee ☕, stop getting TLEs, and come watch how to solve this the "smart" way. (P.S. If you solve this on the first try without help, don’t talk to me. I can’t handle that kind of genius energy right now.) #softwareengineering #leetcode #codinglife #developerhumor #dsa #python #java #slidingwindow #techcareers