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C & Python Programming Interview Questions 🐍 Top 50 Python Programming Interview Questions and Answers This section covers the most commonly asked Python interview questions. It's suitable for freshers and experienced candidates appearing for tech interviews. 🔹 Basics Q1. What is Python? A high-level, interpreted language known for its simplicity and readability. Widely used in web development, data science, AI, and automation. Q2. List Python's key features. Interpreted Dynamically typed Object-oriented Extensive libraries Q3. How is Python interpreted? Python code is compiled to bytecode, which is then interpreted by the Python Virtual Machine (PVM). Q4. What are Python's data types? int, float, str, bool, list, tuple, dict, set, NoneType Q5. What is the difference between list and tuple? Feature List Tuple Mutable Yes No Syntax...

C Programming Interview Questions 💻 Ultimate C Programming Interview Questions and Answers If you're preparing for an IT job interview that includes C programming, this guide has everything you need. From beginner to advanced, here are the most asked C interview questions with answers and code examples. 🟢 1. Basic C Concepts Q1. What is C language? A procedural programming language developed in 1972. Still used for OS, embedded systems, and compilers due to its performance and control. Q2. Difference between printf() and scanf() Feature printf() scanf() Function Output Input Address Operator Not needed Required (&) Q3. What is a pointer? int x = 10; int *ptr = &x; printf("%d", *ptr); // Output: 10 Q4. Difference between ++i and i++ int i = 5; printf("%d", ++i); // 6 printf("%d", i++); // 6 (but i becomes 7) Q5. malloc() vs calloc() ...

  How to Get a Job in Top IT MNCs (TCS, Infosys, Wipro, Google, etc.) – Step-by-Step Guide for B.Tech Students Landing a job in a top IT company as a final-year B.Tech student in India requires strategic and consistent preparation . Here's a complete roadmap to help you succeed in campus and off-campus placements . 1️⃣ Strengthen Your Technical Skills (Must for IT Jobs) 🔹 A. Programming Languages Must Know: 💻 Python (Most in-demand) ☕ Java (Enterprise Applications) 🧠 C++ (DSA & Competitive Coding) 🗄️ SQL (Databases) Optional (Role-Based): 🌐 JavaScript (Web Development) 📊 R/Matlab (Data Science) 🔹 B. Data Structures & Algorithms (DSA) Why? Most MNCs (especially FAANG) ask DSA in technical interviews. How to Prepare: YouTube Channels: Abdul Bari, takeUforward Practice Platforms: LeetCode, GeeksforGeeks, CodeChef Target: Solve 150–200 problems (Easy + Medium) 🔹 C. Core CS Subjects (Revise Well) 💾 Operating Systems (...

Most Common Interview Questions with Best Sample Answers & Insights Interviews can be stressful—but being prepared makes all the difference. Below are ten of the most frequently asked interview questions, complete with sample answers and insights to help you craft your own responses. 1️⃣ Tell Me About Yourself 🗣 Suggested Answer: “I’m a [Your Profession] with [X] years of experience in [Industry]. I specialize in [Key Skill] and have a track record of [Achievement]. For example, at [Previous Company], I [Specific Contribution]. I’m excited about this role because it aligns with my passion for [Relevant Interest].” 💡 Insight: Keep it professional and concise (1–2 minutes). Highlight relevant skills and experience. Tailor your response to the job role . 2️⃣ Why Do You Want to Work Here? 🗣 Suggested Answer: “I admire [Company]’s commitment to [Core Value/Project]. My skills in [Skill] align with your needs, and I’m excited about contributing to [Specific Team/Goal...

  CASE STUDIES ON DS PROJECTS FOR PREDICTING MALICIOUS URLS FOR BUILDING RECOMMENDER SYSTEMS   Case study 1: Predicting malicious URLs The internet is probably one of the greatest inventions of modern times. It has boosted humanity’s development, but not everyone uses this great invention with honorable intentions. Many companies (Google, for one) try to protect us from fraud by detecting malicious websites for us. Doing so is no easy task, because the internet has billions of web pages to scan. In this case study we’ll show how to work with a data set that no longer fits in memory. What we’ll use Data — The data in this case study was made available as part of a research project. The project contains data from 120 days, and each observation has approximately The 3,200,000 features. The target variable contains 1 if it’s a malicious website and -1 otherwise. For more information, please see “Beyond Blacklists:Learning to Detect Malicious Web Sites from Suspicious U...