Python skills are a goldmine for data professions. Interviews assess your ability to wrangle, analyze, and interpret data using Python libraries like Pandas, NumPy, Matplotlib, Scikit-learn, etc. For data analysts and scientists, prepare by solidifying your understanding of core Python concepts and data structures, but also delve into libraries like Pandas for data manipulation and visualization libraries like Matplotlib or Seaborn. Practice writing clean, efficient code and solving data-driven problems on platforms like DataHack or through online tutorials. --------------------------------------------------------- Generative AI Pinnacle Program 🔥 --------------------------------------------------------- Build a Career in Gen AI - without leaving your job: ✅ 200+ hours of learning ✅ 10+ real-world projects ✅ 1:1 mentorship ✅ 75+ sessions Know More 🔗 https://bit.ly/3wlIIGz In this video, we will talk about TOP 50 PYTHON INTERVIEW QUESTIONS (CONCEPTUAL + CODING) often asked in the Python Interviews. ------------------------------------------------------------- TOP 50 PYTHON INTERVIEW QUESTIONS 🔥 ------------------------------------------------------------- 0:00:00 Introduction 0:00:33 Python is an Interpreted Language 0:01:59 Indentation in Python 0:02:49 Data Types in Python 0:03:51 Why we need Data Types in Python 0:05:00 How to check Data Type of a Variable 0:05:33 Python Sets & their properties 0:07:05 List vs Tuple 0:08:41 Mutable & Immutable Python Objects 0:10:26 Dictionary in Python 0:11:32 Access element of a list 0:12:30 Convert string to int 0:13:28 Convert string to a list 0:14:18 Comparison Operators 0:14:54 Benefits of using Functions 0:15:46 Python Functions & Code Optimization 0:17:45 Indexing & Negative Indexing 0:19:24 Slicing in Python 0:20:28 Logical Operators in Python 0:21:34 Classes & Objects in Python 0:22:35 Check for Leap Year 0:24:17 Check Armstrong Number 0:26:36 Check if a String is Palindrome 0:27:57 Reverse a String 0:28:19 Swap two variables 0:29:50 Check if Prime number 0:31:25 Factorial of a number 0:36:10 Generate Random Numbers 0:38:50 Print Fibonacci Series 0:40:42 Square Root of a number 0:42:45 Swap two elements in a list 0:44:57 Why Indentation so important 0:45:49 Module vs Package 0:48:03 Use of Decorators 0:49:01 Exceptional Handling 0:50:04 Inheritance in Python 0:51:36 Difference between "is" & "==" in Python 0:52:32 Generators & their Use 0:53:59 Shallow Copy & Deep Copy 0:55:23 Lambda Expressions in Python 0:56:11 PASS Keyword in Python 0:56:46 Reverse a String 0:57:47 Sort a list in Python 0:58:39 Delete a file in Python 0:59:39 Delete element from a list 1:01:02 Delete an entire list 1:01:36 Reverse an array 1:02:34 Access, delete, update Numpy Array 1:04:07 Concatenate two lists 1:05:00 Square of list elements 1:06:18 Difference b/w Split & Join 1:07:33 Subscribe Now --------------------------------------------------------- 🔥 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