Getting Started: Python Interview Questions

Python interviews for junior roles frequently expose the gap between writing basic scripts and actually understanding how the language behaves under the hood. This course systematically covers the exact concepts technical interviewers probe to verify your foundational knowledge. You will start at the root of Python’s execution by examining the object model, Names, Objects, and References, before moving through core mechanics like Truthiness and type conversion. From there, we examine the built-in data structures—Lists, Tuples, Dictionaries, and Sets—alongside crucial mechanics like Unpacking and Comprehensions. You will also learn how to correctly handle text and binary data using Strings, Bytes, and Encoding, and how to direct control flow with loops, iteration helpers, and the match statement.

With the fundamentals established, the course moves into application structure. You will explore Functions, Arguments, Scope, Closures, and Lambdas, before transitioning to object-oriented programming with Classes, Properties, Inheritance, and the basics of Dunder Methods. We then cover robust error handling using try, except, else, and finally blocks, specifically focusing on custom exceptions and the EAFP principle. To prepare you for the technical questions that trip up many candidates, we break down Iterables, the Iterator Protocol, Generators, and the yield keyword. Finally, you will learn how to write modern code using Pythonic Idioms, Dataclasses, Enums, and Type Hints, wrapping up with a practical look at Context Managers, packages, the Standard Library, and the GIL.