Find Missing Number in Array 1 to N with O(n) Solution

Most candidates prepare 1000+ Python interview questions… and still get rejected. Why? Because interviews don’t test memory—they test understanding. If you can’t explain why your code works, you won’t clear the interview. Focus on: ✔ Core concepts ✔ Clear explanation ✔ Logical thinking Not just answers. I’ve compiled a concise Python interview guide focused on concept clarity over memorization. Master the concept → Crack any question. #Python #PythonDeveloper #CodingInterview #TechInterview #SoftwareEngineering #Programming #Developer #LearnToCode #CodingTips #CareerGrowth #JobPreparation #InterviewPrep #TechCareers #DataEngineering #BackendDevelopment #ProblemSolving #CodeNewbie #100DaysOfCode

🚨 Interview Experience Today 👇 Problem: Input: [0,1,0,3,12] Output: [1,3,12,0,0] ⚠️ Constraint: Do not create new/another list ⸻ 💭 My attempt (under time pressure): print(f”[{nums[1]}, {nums[3]}, {nums[4]}, {nums[0]}, {nums[0]}]”) Output: [1, 3, 12, 0, 0] ❌ Rejected ⸻ 💡 Approach shared after: nums = [num for num in nums if num != 0] + [0] * nums.count(0) print(nums) 🤔 I pointed out that this still creates a new list ⸻ 🧠 My Question: 👉 Would this still be considered valid given the constraint? 👉 Or should the expectation strictly be an in-place solution? ⸻ 💬 Curious to hear how you would approach this! #InterviewExperience #Python #CodingInterview #DataStructures #Learning #BackendDevelopment #SoftwareEngineering

🚀 Python Cheat Sheet for Interviews 🐍 I created this 1-page cheat sheet for interviews. Covers: ✔ Basics ✔ Data Structures ✔ Functions ✔ OOP ✔ Interview Questions 💡 Tip: Don’t just read — practice writing code 💾 Save this for later 🔁 Share with someone preparing for interviews #Python #Coding #Developers #InterviewPrep

Day 37 of #60DaysOfMiniProjects Today I built an Interview Simulator System in Python Not just a question generator… This project actually simulates a real interview environment where you answer questions under time pressure What it does: • Takes role input (Python) • Randomly selects questions • Tracks answer time • Evaluates answers using keywords • Gives instant feedback (Correct/Wrong) • Calculates final score Why this is interesting: • Feels like a real interview • Improves speed & thinking ability • Makes practice more engaging Concepts used: • Data structures (Dictionaries) • Functions & modular code • Random & Time modules • Conditional logic • CLI-based user interaction This project helped me understand how real interview platforms work behind the scenes Next step: Add difficulty levels Improve answer evaluation Build a GUI version Learning step by step. Building consistently. Improving every day #Python #MiniProjects #BuildInPublic #CodingJourney #DeveloperGrowth #LearningInPublic #60DaysOfCode

🚀 My Interview Preparation Journey Most people *memorize* star patterns. Today, I tried to **understand the logic behind them.** Here’s what I learned 👇 ✨ Golden Rules: • Rows decide the height (i controls lines) • Columns depend on pattern type → Fixed: j ≤ n → Increasing: j ≤ i → Decreasing: j ≤ n - i ✨ Pyramid Pattern Logic: • Spaces = n - i • Stars = 2*i - 1 ✨ Real Skill (Important 🔥) Whenever you see a pattern, ask: 1. How many rows? 2. What changes per row? 3. How many spaces? 4. Are stars increasing or decreasing? This completely changed how I approach problems. 📌 Sharing my handwritten notes for better understanding. Consistency > Perfection. Let’s grow step by step. 🚀 #learninginpublic #dsa #javascript #python #coding #programming #interviewpreparation #100daysofcode

Day 1 - Python Gotcha This one catches 70% of candidates in interviews! It looks simple but tests a critical Python concept: mutable object references. When you write b = a, you are NOT creating a copy. Both a and b point to the SAME list in memory. So modifying b also modifies a. This is why interviewers love this question - it separates those who truly understand Python memory model. Drop your answer below! Correct answers get a heart. Save this for your next interview. #python #interviewquestions #datascience #codinginterview #pythontricks #mutableobjects #programming #techinterview #datascientist #learnpython

🚀 When Model Performance Drops in Production In one of my interviews, I was asked: 👉 “What would you do if your model performance degrades over time?” 🧠 My approach I start by checking Data Drift. https://lnkd.in/d7PezmUS This means: 👉 the data in production is different from training data. And when that happens, even a good model starts failing. ⚙️ Simple first step I don’t jump into complex methods. I start with: Compare mean of training data Compare mean of new data Measure the difference Use a threshold to detect drift 🎯 Final thought Start simple. Detect the change early. Then improve the system. #MachineLearning #MLOps #DataDrift #AIEngineering #Python

Success in technical interviews comes down to mastering the core concepts that interviewers actually care about. Great share, Prachi! 👏 For real interview questions checkout: https://prachub.com/ #Programming #Python #CareerTips #SoftwareDeveloper

Many people finish Python tutorials but still feel stuck in interviews. It’s usually about practicing the right things. This cheat sheet helps you focus on what actually matters. #PythonPractice #CodingTips #InterviewPrep

Mastering this hierarchy is the difference between writing code that "just works" and writing code that scales. 🚀 Save this cheat sheet for your next technical interview! 💾 #DataStructures #DSA #PlacementPrep #IndiaTech #SoftwareEngineering #UniqueSystemSkills #CodingFundamentals #TechInterviews #Java #Python