Python Job Interview Questions | Data classes – in Hindi

In this video, we take a deep dive into Python Dataclasses, one of the most powerful features for writing cleaner, more maintainable, and interview-ready code. This session is packed with code examples, detailed explanations, and interview-style questions to prepare you for coding interviews. 🔑 What you’ll learn in this video: Introduction to a dataclass Adding a default value in a Dataclass Working with Mutable Data Types – Avoiding common pitfalls. Comparison Features with order=True Immutability with frozen=True – Creating immutable objects. Using replace() – Smartly updating dataclass objects. Making Dataclass Hashable Dataclass as Dict or Tuple – Conversions and when to use them. Working with __post_init__() – Post-processing initialization logic. Inheritance in Dataclasses – Multiple inheritance and MRO caveats. The kw_only Flag – Enforcing keyword-only attributes. Slots in Dataclasses – Making Them Faster and Leaner. Summary of Flags – A quick recap of customization options. Interview Questions – Commonly asked questions 💻 Each section includes live code demonstrations + explanations so you can immediately understand and apply these concepts in both interviews and real-world projects. 👉 Whether you’re preparing for Python interviews or want to level up your coding practices, this video is your complete guide to mastering Dataclasses. 00:00 Introduction 00:42 What is Dataclass 02:43 Dataclass Default value 02:50 Working with mutable Data types 04:02 Adding comparison features using the order=True flag 04:50 Making attributes immutable using frozen=True flag 05:06 Working with replace() 05:15 Making dataclass hashable 05:56 Dataclass as dict or tuple 06:10 Working with __post_init__() 06:54 Inheritance in Dataclasses 08:06 Knowing kw_flag 08:20 Slots - making Dataclass faster and leaner 09:13 Summary of flags to customize a dataclass 09:27 Interview Questions