Python Interview Questions and Answers Below are the list of exercises.Select the exercise you want to solve. All the Best. Basic Exercise for Beginners This Python beginner’s exercise helps you quickly learn and practice basic skills by solving23 coding questions and challenges, complete with sol...
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...
Get ready for your Google Python interview with these essential questions. Prepare for technical challenges and demonstrate your Python skills.
Practice Questions Q: 1. Which of the following are operators, and which are values? * 'hello' -88.8 - / + 5 Q: 2. Which of the following is a variable, and which is a string? spam 'spam' Q: 3. Name three data types. Q: 4. What is an expression made up of? What...
This section is dedicated to practice exercises for those with beginner to intermediate Python skills. Happy coding as you enhance your programming abilities!You may read our Python tutorial before solving the following exercises.List of Python Exercises : Python Basics Python Basic (Part -I) [ ...
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Frequently Asked Questions Now that you have some experience with Python’s basic data types, you can use the questions and answers below to check your understanding and recap what you’ve learned. These FAQs are related to the most important concepts you’ve covered in this tutorial. Click ...
Practice the learned concepts and then move on further to learn advanced topics like OOPs, Data Structure, Exception Handling, and Python IO. Can I learn Python in 7 days? Is Python easy to learn for beginners? Is Python better than Java? What are the major applications of Python?
Last update on April 01 2025 13:19:13 (UTC/GMT +8 hours) This resource offers a total of 45 Python NamedTuple Data Type problems for practice. It includes 9 main exercises, each accompanied by solutions, detailed explanations, and four related problems. ...
For example, say you want to explore a dataset stored in a CSV on your computer. Pandas will extract the data from that CSV into a DataFrame — a table, basically — then let you do things like: Calculate statistics and answer questions about the data, like What's the average, median,...