Top Python Interview Questions & Answers
Top Python Interview Questions & Answers If you are preparing for a job interview that involves Python programming, it’s useful to practice common questions. Below are some frequently asked Python interview questions along with model answers and tips to expand on them. 1. What are Python’s key features and advantages? Answer: Tip: You can mention specific libraries relevant to your field (e.g. data science, web development) to show domain awareness. 2. What is the difference between list, tuple, and set? Answer: You can mention when to choose which—for example, use tuple when data should not change, set when you need uniqueness or membership tests fast. 3. Explain what a Python decorator is and give an example. Answer:A decorator is a function that wraps another function to modify its behavior without changing its code. You can also mention built-in decorators such as @staticmethod, @classmethod, @property. 4. What is the difference between deep copy and shallow copy? Answer: You can mention the Python copy module (copy.copy() vs copy.deepcopy()) as implementation. 5. How does Python’s garbage collection work? Answer:Python uses reference counting plus a cyclic garbage collector. Each object keeps a count of references; when the count drops to zero, memory is freed. But reference cycles (objects referencing each other) can’t be freed by reference counting alone, so Python also uses a cyclic GC to detect and clean cycles. You can also mention how __del__ can be used, but often discouraged, and the gc module to control GC behavior. 6. What are Python generators and how do they differ from normal functions? Answer:Generators are special functions using yield instead of return. Each call of yield produces a value and suspends function state, so the function can continue from that point when the next value is requested. They are memory efficient when working with large sequences. Example: 7. What is the GIL (Global Interpreter Lock)? Answer:In CPython (the standard Python implementation), the GIL ensures that only one thread executes Python bytecode at a time. This simplifies memory management but means Python threads cannot fully exploit multiple CPUs for CPU-bound tasks (though I/O bound tasks still benefit). You can mention alternatives like multiprocessing or alternate Python implementations (e.g. Jython, IronPython) if relevant. 8. Explain exception handling in Python with try/except/finally/else. Answer: You can show example: 9. What are list comprehensions and generator expressions? Answer: 10. How do you manage packages and virtual environments in Python? Answer: Best Python Training Centers in Ranchi (Lalpur / Plaza Chowk area) If you want to prepare well and learn under guided instruction in Ranchi, here are some top-rated options around Lalpur / Plaza Chowk: When selecting a center, check: Conclusion & Tips for Interview Prep
