Python Interview Practice Problems on GitHub

Python Coding Series – Day 12 Daily post of interview‑style coding questions & solutions. 📌 Problem (Find Second Largest Number in Array): Given an array of integers, find the second largest element. Example: - Input: [12, 35, 1, 10, 34, 1] - Output: 34 This runs in O(n) time and uses constant space. It’s a classic interview problem testing array traversal + comparison logic. --- 🚀 Keep practicing — every small step strengthens your problem‑solving mindset! Python #CodingInterview #LeetCode #DailyCoding #ProblemSolving #Array #LearnWithSudhanshu

🐍 Python interview prep made easier I came across a list of 100 Python interview questions (with answers) covering everything—from basics to Pandas, NumPy, and ML concepts. 💡 The key? Practice real problems, not just theory. What’s your go-to Python question for interviews? 👇 #Python #DataScience #InterviewPrep #Coding

A manager once told me her team spent 3 hours every Monday compiling a report that nobody read until Wednesday. 3 hours. Every single week. Just moving numbers from one spreadsheet to another. That's 150+ hours a year on a task that a Python script can do in 30 seconds. The problem wasn't the people. The problem was the process. If your team has a Monday morning task like this — let's talk. 📩 DM me. #ProcessAutomation #Python #OperixSolutions

Python Challenge – Can you solve this? Today was all about deep-diving into Lists vs. Sets and I came across a common mistake that we can sometimes overlook. Let’s test your Python understanding👇 numbers = [1, 2, 3] numbers.append([4, 5]) print(len(numbers)) A) 3 B) 4 C) 5 D) Error It’s a classic interview question that tests if you truly understand how Python handles memory and lists. Day 15/30 #30DaysOfCode #DataStructures #Day15 #PythonQuiz

Python Interview Prep Focus on what actually gets asked: • Generators vs Iterators • Decorators & *args, **kwargs • Pandas & NumPy (real-world usage) • Exception handling + clean code • Scenario-based problem solving Don’t just code — think like a problem solver. #Python #PythonInterview #DataScience #CodingInterview Save for later!

🐍 Ace Your Next Python Interview 🚀 Preparing for a Python interview? We’ve got you covered 👇 👉 https://lnkd.in/d5_6Vkk4 💡 Master the most asked questions: ✔️ Python basics & data types ✔️ OOP, functions & decorators ✔️ Error handling & best practices ✔️ Real-world coding concepts Python interviews test both fundamentals and problem-solving skills — not just syntax (Final Round AI) Whether you're a beginner or experienced dev, this guide helps you build confidence and stand out. 🎯 Don’t just prepare — get job-ready. #Python #CodingInterview #Developers #SoftwareEngineering #TechCareers #LearnPython #Programming #CareerGrowth #InterviewPrep #WebDev #DataScience #Kodivio

‼️FREE SERIES ALERT Part 3: Linear Regression From Scratch in Python (Step-by-Step Implementation) https://lnkd.in/gwNHF3dU This series is designed for beginners in AI/ML who want to move beyond "black-box" libraries and truly understand the software architecture expected in tech interviews. If you're preparing for ML roles and want to truly understand how algorithms work under the hood, this series is for you.

🚀 Python Cheatsheet you’ll actually use daily 👇 Most developers don’t struggle with Python… They struggle with remembering the right methods at the right time. So I created this simple cheatsheet covering: ✔️ List methods ✔️ Dictionary methods ✔️ String functions ✔️ Loops & conditions ✔️ Exception handling ✔️ Lambda functions ✔️ File handling 💡 No theory. Just practical snippets you can apply instantly. If you're: 👉 Preparing for interviews 👉 Learning Python from scratch 👉 Or switching to backend This will save you hours ⏳ 📌 Pro tip: Don’t just read it — try each snippet once.

Just solved a classic DSA problem: Valid Parentheses Check using a stack! This problem is a great example of how a simple concept like a stack can help solve real interview-level questions efficiently. In the video, I walk through the logic step-by-step and implement it in Python in a clean and beginner-friendly way. If you're preparing for coding interviews or strengthening your DSA fundamentals, this one is definitely worth your time. 🎥 Check out the full explanation in the given link. Would love to hear how you approached this problem or if you have alternative solutions! #datastructures #algorithms #python #codinginterview #softwareengineering #learning #dsa https://lnkd.in/g8AdYW6J

Python Tip of the Day 🐍 a and a+ are safer alternatives when you don’t want to overwrite existing content: a → Append only (write at the end) a+ → Append + Read Both modes ensure that existing data remains intact, making them ideal for logs and continuous updates. Day 44 of building Python basics. #Python #FileHandling #LearnPython #ProgrammingBasics #PythonTips