Interview Python Developer interview questions and answers (2026)
The Python Developer questions candidates are most often asked, covering Python fundamentals, OOP, Django or Flask, REST APIs, pandas. Each answer is short enough to say out loud. For the full process, scenario and HR questions and a 48-hour plan, open the guide for your company below.
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Most asked Python Developer questions
What is the difference between a shallow copy and a deep copy in Python?
A shallow copy creates a new container but inserts references to the original objects, so changes to nested objects affect both copies. A deep copy recursively copies all nested objects, producing an independent structure. Use copy.copy for shallow and copy.deepcopy for deep copies. Mention typical use cases such as duplicating mutable collections without side effects.
From the Accenture Python Developer guide
How does Python's import system locate a module?
Python searches the directory of the executing script, then the paths in sys.path which include the standard library and any site‑packages. It looks for a file matching the module name with a .py extension or a compiled .pyc, then loads and caches the module object in sys.modules.
From the Amazon Python Developer guide
How does Python manage memory for objects?
Python uses a private heap for object storage and a reference counting mechanism; when count drops to zero the garbage collector frees memory. The cyclic GC runs periodically to clean reference cycles that reference counting alone cannot resolve.
From the Infosys Python Developer guide
What is the difference between a list and a tuple in Python?
A list is mutable, so you can add, remove, or change items after creation. A tuple is immutable, so its values cannot be changed. Lists are usually used for dynamic collections, while tuples are useful when the data should stay fixed, like coordinates or configuration values. Tuples can also be slightly faster and can be used as dictionary keys if all elements inside are hashable.
From the TCS Python Developer guide
How does Python's garbage collector handle circular references?
Python uses reference counting for most objects, but cycles are not reclaimed by counting alone. The cyclic garbage collector periodically scans objects with a reference count greater than zero and identifies groups that reference each other. It then frees those groups if they have no external references. Explain that gc.collect() can be invoked manually and that objects with __del__ may break collection.
From the Accenture Python Developer guide
What is the difference between @staticmethod and @classmethod?
@staticmethod defines a function that receives no implicit first argument; it behaves like a regular function placed inside the class namespace. @classmethod receives the class itself as the first argument, conventionally named cls, allowing it to access class attributes and create alternative constructors.
From the Amazon Python Developer guide
What is a generator and how does it differ from a regular function?
A generator uses the yield keyword to produce a sequence lazily, returning one value at a time and preserving state between calls. A regular function runs to completion and returns a single value, consuming memory for the whole result.
From the Infosys Python Developer guide
Explain the difference between == and is in Python.
== compares values, while is checks whether two variables point to the same object in memory. For example, two separate lists with the same contents can be == but not is. Use == for value comparison and is for checking identity, such as comparing with None using is None. This is a common Python interview point.
From the TCS Python Developer guide
Explain the use of @property decorator in a class.
@property turns a method into a read‑only attribute, allowing computed values to be accessed like data fields. It improves encapsulation by hiding implementation details. A setter can be added with @<name>.setter to allow controlled writes. Mention typical scenarios such as validating input or lazy computation.
From the Accenture Python Developer guide
Explain how Python's with statement works internally.
The with statement calls the context object's __enter__ method, assigns its return value to the optional target, then executes the block. When the block finishes, Python calls the object's __exit__ method with any exception details, allowing the object to clean up resources regardless of success or error.
From the Amazon Python Developer guide
Explain list comprehension and give an example that filters even numbers.
List comprehension creates a new list in a single expression. Example: [x for x in numbers if x%2==0] builds a list of even numbers from numbers without an explicit loop.
From the Infosys Python Developer guide
What are decorators in Python?
A decorator is a function that wraps another function or method to add behaviour without changing the original code directly. It is commonly used for logging, access control, timing, or validation. In Python, the @decorator_name syntax is used above the function definition. In interviews, explain that decorators are higher-order functions and can return a new function with added logic.
From the TCS Python Developer guide
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