Python Interview Questions & Answers for Freshers & Experienced Candidates #analyticsvidhya

Python Interview Questions & Answers for Freshers & Experienced Candidates #analyticsvidhya

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Python Interview Questions & Answers for Freshers & Experienced Candidates #analyticsvidhya
Python has been around for more than thirty years. Still, Python is the second most popular programming language in 2023! Most companies, including MAANG companies, ask questions about Python Programming in their interviews.🔥 ------------------------------------------------------------- Free Courses on Generative AI 🔥 ------------------------------------------------------------- ► Generative AI - A Way of Life https://bit.ly/47qQf5q ► Getting Started with Large Language Models https://bit.ly/4gfjdcl ► Building LLM Applications using Prompt Engineering https://bit.ly/4ga2PK6 ► Building Your first RAG System using LlamaIndex https://bit.ly/47A7qlb ► Exploring Stability.AI https://bit.ly/47l60uy ► MidJourney: From Inspiration to Implementation https://bit.ly/4gsTwoW ► Building Production Ready RAG systems using LlamaIndex https://bit.ly/4glocbF ► Explore more free courses: https://bit.ly/3XlryCu ------------------------------------------------------------- Book FREE 1:1 Mentorship for Gen AI / Data Science Link 🔗 https://bit.ly/3wlIIGz In this video, we will talk about TOP 21 PYTHON INTERVIEW QUESTIONS (CONCEPTUAL) often asked in the videos. ------------------------------------------------------------- 🔥 TOP 21 PYTHON INTERVIEW QUESTIONS ------------------------------------------------------------- 00:00 Intro 00:56 Q1- Python is an Interpreted Language 02:25 Q2- Indentation in Python 03:17 Q3- Data Types in Python 04:23 Q4- Classes & Objects in Python 05:26 Q5- Dictionary in Python 06:35 Q6- Python Functions & Code Optimization 08:35 Q7- Python Sets & their properties 10:10 Q8- List vs Tuple 11:48 Q9- Module vs Package 14:06 Q10- Indexing & Negative Indexing 15:47 Q11- Logical Operators in Python 16:57 Q12- Lambda Expressions in Python 17:48 Q13- Slicing in Python 18:54 Q14- Mutable & Immutable Python Objects 20:41 Q15- PASS Keyword in Python 21:19 Q16- Generators & their Use 22:49 Q17- Shallow Copy & Deep Copy 24:17 Q18- Inheritance in Python 25:49 Q19- Exceptional Handling 26:54 Q20- Use of Decorators 27:54 Q21- Difference b/w “is” & “==” 28:53 Subscribe Now ------------------------------------------- 🔥 Python Full Course IN THREE HOURS! ------------------------------------------- Python Full Course in Three Hours: https://youtu.be/6sLkF-F9Oh0 ------------------------------------------- 🔥 Important Video Links ------------------------------------------- 👉 AI Tools to Build Resume: https://youtu.be/VF2D9hEV1cE 👉 AI Tools to Build LinkedIn: https://youtu.be/nOUCLLem0-w 👉 AI Tools to Build Cover Letter: https://youtu.be/qjyjdgw-SgQ 👉 AI tools to Crack Interviews: https://youtu.be/0DLIVyXEKhQ 👉 Switching to Data Science: https://youtu.be/gOAx2nVZpyw 👉SQL Full Course: https://youtu.be/_H4h-tWvuxs --------------------------------------------------------- 🔥 Enroll for our BlackBelt Plus Program ---------------------------------------------------------- 👉 Become a Data Scientist, coming from any background, even without leaving your job! 👉 Register Today 🔗 https://tinyurl.com/4sj2vada --------------------------------------------------------- 🔥 Tags --------------------------------------------------------- Python Interview Questions Python Practice Accenture Interview Python Full Course Kaggle Python Amazon Interview TCS Interview Questions Deloitte Interview Process Python Fibonacci Series HR Interview Questions for Freshers Python Swap Numbers Morgan Stanley Interview Python Leap Year Python ASCII Technical Interview Questions Python Web Development Python Simple Code Python String Program Python Data Science Infosys Interview for Freshers Google Interview Experience Microsoft Interview Experience Python for Beginners Python Advanced Tutorial Python Data Structures Python Coding Challenges Python Interview Preparation Python Online Course Python Programming Basics Python Data Analysis