Top 30 Python Developer Interview Questions and Answers Updated 2026 – Practice With AI Feedback

Storing API keys and secrets securely in a Python is really important if you want to protect sensitive information and prevent hackers from getting access. In Python loading and preprocessing data is very important step in any machine learning pipeline. By default, Python searches for modules in the current directory and the standard library directories, but you can extend this search path using the PYTHONPATH variable. This makes coding easy and efficient for beginners, and also, the data type can be changed later, which is executed without any error in Python. Compile-time errors and runtime errors are the two errors in Python at different stages of execution of the program. It acts like a placeholder that helps in avoiding the errors caused by empty blocks in Python.
It’s achieved using abstract base classes provided by the abc module. It allows users to interact with an object through a simple interface without needing to understand its internal working. It’s a hybrid sorting algorithm, derived from merge sort and insertion sort, designed to perform well on many kinds of real-world data. They generate values one at a time only when needed, rather than storing all values in memory at once.
It is one of the most widely used and loved programming languages and is interpreted in nature thereby providing flexibility in incorporating dynamic semantics. Having assessed developers’ skills, recruiters provide you with a list of viable candidates to interview and hire the most suitable one. https://uvik.io/ That’s why it’s better to invite a Python expert to the interview or team up with an agency that will do the job for you.

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• Explain the concept of closures in Python and provide an example?
• Then mention replacing inefficient code with optimized structures or libraries (like NumPy for vectorized operations).
• This flexibility speeds up prototyping but means type errors surface at runtime rather than compile time.
• However, having a good grasp of commonly asked questions and their answers will boost your confidence and effectively showcase your Python skills.

We have covered a wide range of Infosys Python interview questions tailored for freshers, intermediate-level candidates, and experienced professionals. This is especially useful when creating custom iterable objects such as paginated APIs or custom data loaders. I use specialized libraries such as NumPy and pandas for handling large datasets efficiently due to their low-level memory management and vectorized operations.
Polymorphism is an OOP concept in Python that allows the same method, function, or operator to behave differently for different objects. Once the module is imported from the ABC (Abstraction Base Class) module, abstract methods can be created in a Python program. Data abstraction is used for hiding the actual implementation of the Python program, and it is done by showing only the functionalities. OOP allows developers to organize code into reusable components and implement concepts such as inheritance, polymorphism, encapsulation, and abstraction. The following Python OOPs interview questions are commonly asked in interviews and will help you strengthen your understanding of OOP concepts in Python.
Get expert guidance on courses, career opportunities, fees and upcoming batches. Tanmay Gandhi is a Data Science educator and analytics practitioner with expertise in Python, machine learning, and predictive modeling. Keep practicing, build real projects, and stay curious, consistency is what ultimately sets you apart. They care about how you approach problems, explain your thinking, and write clean, readable code. A successful Python career is built on continuous learning, practical application, and a clear professional roadmap. Use logging module, pdb/ipdb for debugging, cProfile/py-spy for performance.

Explain the difference between a list and a tuple in Python.

Most modern systems have PIP installed by default, but you may need to install it separately if you’re using a version older than Python 3.3. This is crucial in helping you decide which is the best fit for your company. Using Linux-specific questions during the hiring process also enables you to identify each candidate’s strengths and weaknesses. The way that applicants present their answers is also extremely important. This can help you understand how they approach problems, and you can gain insights into each individual’s knowledge through the questions they ask. First up, candidates should be able to seek clarification if they don’t understand a question.

Does Python have an assignment operator? How is assignment different from C or C++?

Python provides built-in functions like int(), float(), str(), list(), tuple(), set(), and dict() to convert data between types. Encapsulation is implemented by prefixing instance variables or methods with underscores to indicate they are intended as private (_single_underscore or __double_underscore). A context manager is an object that defines runtime context to be established and cleaned up, usually implemented with __enter__() and __exit__() methods. Python provides the sys.argv list for basic command-line argument handling, containing the script name and subsequent arguments as strings. The is operator checks for object identity, meaning it returns True if two variables point to the same object in memory.
Did you know that most coding interview failures happen because candidates stumble on problem-solving, not syntax? It is also about advanced abilities, which, for example, include wrapping sequential function application, using metaclasses and decorators, organizing constructors’ and other resources’ disposal, and exception handling. It provides functions to parse JSON strings into Python objects and convert Python objects into JSON strings. The with statement is commonly used to ensure files are properly closed after operations. Metaclasses are usually used for creating APIs, enforcing coding standards, and modifying class creation. The cyclic garbage collector handles reference cycles that reference counting alone cannot clean up.
For example, when working with files, it ensures the file is automatically closed after its block of code is executed, reducing the risk of memory leaks or resource locking. It simplifies the management of resources that need to be acquired and released in a specific order. While try-except is used to catch and manage exceptions, try-finally ensures that cleanup code is always executed, whether or not an error occurs. This is particularly important in breaking reference cycles that regular reference counting can’t handle. Candidates with 2–4 years of experience applying for Python-based roles at Infosys are usually assessed on applied coding, OOPs, and real-world implementation scenarios. When using with, the resource is automatically cleaned up once the block of code is executed, even if an error occurs.