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Python Programming Interview Questions & Answers

Decorators, generators, memory management, GIL, OOP in Python, and data libraries.

Advanced 312 views

Explain Python GIL (Global Interpreter Lock) and how to bypass it for CPU-bound tasks

The Global Interpreter Lock (GIL) is a mutex in CPython that allows only one native thread to execute Python bytecode at a time, even on multi-core processors. It simplifies CPython's reference-counti...

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Intermediate 154 views

What is the Python Global Interpreter Lock (GIL), how does it impact multi-threaded CPU-bound programs, and what are the workarounds in Python 3.12+?

The Python Global Interpreter Lock (GIL) The Global Interpreter Lock (GIL) is a mutex mechanism used by the standard CPython interpreter to synchronize thread execution so that only one native OS thre...

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Advanced 7 views

Explain the difference between Python's GIL (Global Interpreter Lock) and multi-threading vs multi-processing.

The Global Interpreter Lock (GIL) is a mutex in CPython that prevents multiple native threads from executing Python bytecodes simultaneously. Even on a multi-core machine, only one thread can execute ...

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Easy 7 views

When would you use a list, tuple, set, or dictionary in Python?

Use a list for an ordered sequence that you intend to modify and a tuple for a fixed sequence or record-like grouping. A set stores distinct hashable elements and supports membership and set operation...

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Easy 6 views

Why is a mutable default argument dangerous, and how can you fix it?

Default argument expressions are evaluated when the function is defined, not each time it is called. A list used as a default can therefore retain items between calls that omit the argument. Use None ...

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Medium 5 views

How does a generator help process a large file without loading it all into memory?

A generator yields values lazily and retains enough state to resume on the next iteration. Iterating over an open text file and yielding matching lines avoids building a list of every line. Memory sti...

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Medium 5 views

What is the difference between a shallow copy and a deep copy of a nested list?

A shallow copy creates a new outer collection but keeps references to its existing elements. If those elements are lists, modifying an inner list through either outer collection affects the same inner...

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Medium 5 views

When should Python code use threads, processes, or asyncio?

Threads often suit blocking I/O when libraries expose synchronous APIs. asyncio suits large numbers of cooperating I/O operations when the libraries are asynchronous; blocking work still blocks the ev...

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Medium 5 views

How would you make a file-processing script recover safely after interruption?

Process input in identifiable batches and record a checkpoint only after the corresponding output is durable. Write replacement files to a temporary file on the same filesystem, flush as required, and...

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Intermediate 4 views

What is RAII (Resource Acquisition Is Initialization) in C++ and how do smart pointers (unique_ptr, shared_ptr, weak_ptr) prevent memory leaks?

RAII is a core C++ programming idiom where resource lifecycle is tied to object lifetime. Resources (heap memory, file handles, mutex locks) are acquired during constructor initialization and released...

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Intermediate 4 views

Explain the SOLID principles in Object-Oriented Software Design with concise engineering examples.

SOLID represents five fundamental design principles for maintainable, decoupled object-oriented architecture: Single Responsibility Principle (SRP): A class should have only one reason to change (e.g....

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Advanced 4 views

How does Memory Management and Garbage Collection work internally in Python (CPython)?

CPython memory management consists of a multi-tiered hierarchy: PyMalloc: A specialized small-object memory allocator that manages blocks, pools, and arenas for objects ≤ 512 bytes, minimizing expe...

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Intermediate 3 views

What are Python Generators and how does the 'yield' keyword differ from 'return'?

A Generator in Python is a special type of iterator created using functions containing the yield statement. Unlike regular functions that terminate and destroy their local state upon encountering retu...

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