Скачать или смотреть Python Job Interview Questions | Comprehension vs Generators - (in Hindi)

In this video, we dive deep into one of the most important Python concepts: Comprehension vs Generators. These are frequently asked in coding interviews at top tech companies, and mastering them will help you write cleaner, more efficient, and memory-friendly Python code.

🔑 What you’ll learn in this video:
1. Introduction – Why comprehension and generators matter in Python interviews.
2. Comprehension – Detailed explanation with examples of list, set, and dictionary comprehension.
3. Generator – What generators are, how they work, and why they’re efficient.
4. Comprehension vs Generator – Key differences in performance, memory usage, and syntax.
5. Avoiding Intermediate Lists – How generators help you save memory in pipelines.
6. Example: Fibonacci Series – Implementing Fibonacci with generators.
7. Example: Chaining Lazy Operations – Real-world interview-style problem-solving.
8. Summary

💻 This session includes code examples + explanations, making it perfect for interview preparation and real-world coding.

👉 If you’re preparing for interviews or want to strengthen your Python skills, this video is a must-watch.

00:00 Introduction
00:52 Comprehension
03:00 Generator
05:31 Comprehension vs Generator
07:17 How to avoid intermediate list
09:03 Example - Fibonacci series
09:58 Example - Chaining lazy operations
12:39 Summary


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