OOPs Interview Questions Top 50+ Pandas Interview QuestionsPython is among the most popular programming languages today. Major organizations in the world build programs and applications using this object-oriented language. Here, you will come across some of the most frequently asked questions in Python...
Python Interview Questions for Freshers 1. What is __init__? 2. What is the difference between Python Arrays and lists? 3. Explain how can you make a Python Script executable on Unix? 4. What is slicing in Python? 5. What is docstring in Python? 6. What are unit tests in Python...
Is Python platform independent? Yes, Python is platform independent. Code written in Python can be executed on various operating systems without modification, thanks to its interpreters available for different platforms. Continue Reading...Related Topics Python Interview Questions (Part 2) Python Interv...
Discover effective personal interview questions that help evaluate candidates' skills, experiences, and cultural fit, ensuring a successful hiring process.
Python continues to dominate the tech industry as one of the most versatile and in-demand programming languages. Whether you're preparing for a technical interview or looking to sharpen your coding skills, mastering Python is essential. Interviews often involve solving challenges and explaining complex...
Discover essential programming interview questions with Python examples for job seekers, final-year students, and data professionals. Feb 19, 2025 · 14 min read Contents Basic Programming Interview Questions 1. What is a variable in programming? 2. Explain data types with examples 3. Explain the...
Python is one of the most popular languages in today’s era. Guido Van Rossum is the person behind the creation of this language. It came into existence in 1991 as Python 0.9.0. It is a dynamically typed, interpreted, and object-oriented language that helps programmers write code in an ...
Answering the Python interview questions can be daunting. You may know how to write Python code. You may even know how to create full-scale Python applications, but sometimes the questions can be tricky. To help you prepare for your next Python job interview or just refresh your knowledge of...
2. How do you handle missing data in a dataset using Pandas? Answer: Handling missing data is crucial for accurate data analysis. In Pandas, you can handle missing data using several methods: Drop Missing Values:Use thedropna()method to remove rows or columns with missing values.pythonCopy ...
Answer:Python can be used as a fully OOP language and functional programming since it supports functions as first-class citizens. i.e. you can assign functions to variables, pass functions as parameters, etc. Sample code to showcase functional program in Python: ...