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Python is considered one of the easiest programming languages. It is widely used for web development, gaming applications, data analytics and visualization, and AI and machine learning. Since Python is used for multiple purposes, Python developers enjoy a massive market demand.
If you plan to build a career in Python, you will have to prepare well for interviews. This blog has a list of the most commonly asked Python interview questions and answers.
Table of Contents
Python Basic Questions for Freshers
Freshers are usually not asked too technical questions in the interview. The recruiter will ask you general questions about the Python language to know all theoretical concepts.
1. What is Python?
Python is an object-oriented programming language compatible with different platforms like Mac, Windows, Linux, Raspberry, etc. Python is an interpreted language which means we can execute Python codes immediately after writing them.
2. What are the benefits of using Python language?
- Python is a general-purpose programming language with a simple syntax. It enhances the readability of the code.
- Since Python is an interpreted language, we can execute the instructions directly without compiling the code.
- Another significant benefit of Python is that it is an open-source platform that anyone can freely download.
- Moreover, the built-in data structures in Python like a dictionary, list, and tuple enhance code readability.
3. What are the different scopes in Python?
There are four different scope types in Python: local, global, module-level, and the outermost scope. The first one has local objects within it that are being used at the moment. The global scope has objects that can be accessed anytime during the code execution. The global objects in the current module come within the module-level scope. Lastly, outermost scope refers to all the built-in objects that can be called during the program.
4. What is the meaning of break, continue and pass in Python?
We use the break statement in Python to terminate the loop or exit from it. The statements after the break get the control. However, the continue statement in Python enables the continuation or execution of the next iterations. The pass statement is used when we do not want any command or code to be executed. It adds a statement for the syntax purpose but does not execute it.
5. What are the keywords in Python?
The reserved words in Python like functions, identifiers, or variables are termed as keywords. They are essential for maintaining the syntax of the programming language. Python 3.7 version has 33 keywords, including none, true, and class, continue, def, return, lambda, pass, etc.
6. Explain the difference between lists and tuples.
Both lists and tuples are a class of data structure in Python. Lists are used to store different data sets simultaneously. Similar to the arrays, the list is declared in a different language. These are dynamic. On the other hand, tuples also comprise data types separated by commas. They are static.
7. Explain different literals in Python.
Literals in Python refer to the data that is available in the form of variables and constants. There are mainly four different types of literals in Python: string, boolean, numeric, and special literals. String literals involve a sequence of characters in the code, whereas numeric literals comprise integer or float values. Boolean literals represent true and false with only two values: zero and one, respectively. Special literals are used to represent fields that have not been classified. They are represented by ‘none’ value.
Python Questions for Experienced Candidates
Interviewers ask technical Python interview questions from experienced candidates.
1. Explain Decorators in Python.
Decorators in Python allow the extension of an already existing function. A decorator itself is a function that uses another function as an argument and returns a third function. Developers use decorators in the Python language to modify the function of a class without altering the source code. In simple terms, coders use decorators to change the behavior of a function by extending it but do not allow modification of the original function.
2. Explain the use of lambda in Python.
The Lambda function in Python is used to declare those functions in Python that do not have a name, also called Anonymous functions. We use the lambda function whenever we require the nameless function for a short interval while executing the code. Moreover, the lambda function reduces the length of the code because they are usually written in a single line.
3. Explain the difference between NumPy and SciPy.
NumPy means Numerical Python. It comprises the array data type, basic element functions like sorting, reshaping, and indexing. SpicyPy means scientific Python. It comprises various sub-packages and a collection of functions.
4. How do we copy a file in Python?
We use the copy module to copy a file or an object in Python in two ways. The first method is shallow copy that prepares a replica of the values in the original object. Shallow copy is used to keep the values when a new instance gets created. The second method is deep copy that is used to copy information from the source to the target object. Deep copy stores already copied values and offer reference to the object.
5. Explain the process of compilation and linking in Python.
We use compiling and Linking in Python to compile new extensions. In compilation, the source code is saved as a .py file and compiled into bytecode, saved as a .pyc file. Linking is the process wherein all functions with their definitions are linked together.
6. How is memory managed in Python?
Memory management in Python occurs in the private heap space that comprises all Python objects and data structures. The programmers do not have access to the private heap space. It is only available to interpreters.
Tips to Prepare for Python Interview Questions and Answers
Along with asking you theoretical questions related to Python in the interview, the recruiter might also ask you to write down a practical code on a piece of paper. They might also give a situation, ask you to analyze the same, and offer a practical solution with the help of Python.
- You must know how to write Python code on paper or whiteboard. Even if you are being interviewed for a fresher position, it is best to practice simple Python codes on a sheet of paper. Many companies might not offer a technical setup to the candidates during the interview. Therefore, they can ask you to write the code on paper or whiteboard.
- If you have worked on some practical Python projects, plug it subtly while answering the questions. You can explain your answer with the help of examples or personal experiences. It helps the interviewer realize that you have problem-solving skills that make you a suitable candidate for the job.
- Another crucial tip for Python interview questions is that you should know about the various Python data types like strings, sets, and tuples and when to use each one of them.
- While preparing for a Python interview question, you should also go through the purpose of generators in Python and how to use them. Also, focus on Python algorithms and data structures.
How to Prepare For Python Interview Questions and answers?
Python interviews can be tough to crack due to the vast number of technicalities the interviewer might ask you. The best approach to cracking Python interview questions is to first focus on the concepts and then on practical learning.
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Check out our other data science courses at upGrad. We hope this helps!
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What should I study for Python interview? ›
- Course. Python Coding Interviews: Tips & Best Practices. ...
- Course. Introduction to Sorting Algorithms in Python. ...
- Course. Creating a Binary Search in Python. ...
- Tutorial. Python Practice Problems: Get Ready for Your Next Interview. ...
- Tutorial. Data Engineer Interview Questions With Python. ...
- Select the Right Built-In Function for the Job. Iterate With enumerate() Instead of range() ...
- Leverage Data Structures Effectively. Store Unique Values With Sets. ...
- Take Advantage of Python's Standard Library. ...
- Conclusion: Coding Interview Superpowers.
Yes. With the right strategy, you can ace Python coding interview questions with 3 months of preparation. Your practice should be centered on problems on core data structures and algorithms.What is tuple in Python? ›
Tuple. Tuples are used to store multiple items in a single variable. Tuple is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Set, and Dictionary, all with different qualities and usage. A tuple is a collection which is ordered and unchangeable.What is OOPs in Python? ›
In Python, object-oriented Programming (OOPs) is a programming paradigm that uses objects and classes in programming. It aims to implement real-world entities like inheritance, polymorphisms, encapsulation, etc. in the programming.How do I prepare for Python interview in one day? ›
- Review Data Structures and Algorithms if you haven't already.
- Know how to write code on a whiteboard or paper.
- Demonstrate your Hobby Projects.
Preparing for a Python Interview: 10 Things You Should Know - YouTubeCan I use Python for Google interview? ›
Can I use Python in Google interviews? Yes, you can use Python in your Google interview.Is one year enough for coding? ›
Most coders agree that it takes three to six months to be comfortable with the basics of coding. But you can learn coding faster or slower depending on your preferred pace. Let's get into the specific skills you'll need to learn.Why are coding interviews so hard? ›
Lack of data structures and algorithms knowledge
The first reason why a lot of people find coding interviews hard is because they lack the fundamental knowledge in data structures and algorithms.
How do I practice coding interview? ›
- Own the process.
- Learn a consistent method.
- Refresh on data structures and algorithms.
- Practice solving example questions.
- Up your coding interview skills.
- Use books and courses.
- Practice with mock interviews.
Yes, you can.What is array in Python? ›
What are Python Arrays? Arrays are a fundamental data structure, and an important part of most programming languages. In Python, they are containers which are able to store more than one item at the same time. Specifically, they are an ordered collection of elements with every value being of the same data type.What is polymorphism in Python? ›
The literal meaning of polymorphism is the condition of occurrence in different forms. Polymorphism is a very important concept in programming. It refers to the use of a single type entity (method, operator or object) to represent different types in different scenarios.What are data types in Python? ›
|Numeric Types:||int , float , complex|
|Sequence Types:||list , tuple , range|
|Set Types:||set , frozenset|
The four principles of object-oriented programming are encapsulation, abstraction, inheritance, and polymorphism.Is Python 100% object-oriented? ›
Well Is Python an object oriented programming language? Yes, it is. With the exception of control flow, everything in Python is an object.What are the coding questions in Python? ›
- Question 3: Write a code snippet to reverse a string. ...
- Question 4: Write a code snippet to sort a list in Python. ...
- Question 5: What is the difference between mutable and immutable. ...
- Question 6: How can you delete a file in Python. ...
- Question 7: How to access an element of a list?
- Is there a scanf() or sscanf() equivalent. ...
- What's a negative index? ...
- How do you make an array in Python? ...
- What is self? ...
- What are the global and local variables in Python? ...
- Does Python make use of access specifiers. ...
- What are the two major loop statements? ...
- Differentiate between SciPy and NumPy?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics developed by Guido van Rossum. It was originally released in 1991. Designed to be easy as well as fun, the name "Python" is a nod to the British comedy group Monty Python.
Where do I ask questions in Python? ›
The most efficient way of getting help is via the various mailing lists and newsgroups, particularly the comp. lang. python newsgroup. Also, you can ask your questions in the inofficial Python Wiki.