Скачать или смотреть Day-7/90 | AI, DS and ML complete course for beginners in English |Hire Ready| Data Types in Python

Welcome to Day 7 of your Complete Artificial Intelligence (AI) Course in English! In this important session, we explore and compare the five core Python data types — String, List, Set, Tuple, and Dictionary. Understanding how these data types differ from one another is a must for every AI, Machine Learning, and Data Science beginner who wants to build a strong foundation in Python programming.

This video is designed for students and AI learners who want clear and practical knowledge about Python data types and their proper usage in AI applications. Rather than coding, this session focuses on conceptual understanding and real‑world interview questions asked in Python and AI developer roles.

What You’ll Learn in This Day 7 Video:
String – A sequence of characters used for text data; immutable and indexed.

List – An ordered, mutable collection of multiple elements.

Tuple – Similar to List but immutable and faster for fixed data.

Set – An unordered collection that stores unique items (used for eliminating duplicates).

Dictionary – A key‑value based data type for structured and mapped data storage.

Key Concepts Explained:
Ordered vs. unordered data types and how they affect data retrieval.

Mutable vs. immutable structures and why it matters for memory management.

Indexing and iteration differences between tuples, lists, and strings.

How Sets and Dictionaries help in AI data cleaning and duplicate removal.

Real‑life examples of data type usage in AI and Machine Learning projects.

Important Python Interview Questions Discussed:
What is the difference between a List and a Tuple?

Why are strings immutable in Python?

How does a Set differ from a Dictionary?

Can you use a List as a Dictionary key?

Which data type is best for storing unique items?

What are the use cases for immutable data types like Tuple and String in AI?

When should you prefer Dictionary over List in real AI projects?

What is the main advantage of using Sets in data processing?

By the end of this lesson, you’ll have a clear understanding of how each data type behaves, when to use it, and how it impacts AI development. You’ll also be confident enough to answer Python and AI interview questions related to data types accurately and logically.

This video is completely explained in simple English to help AI beginners, Python learners, and students explore the fundamentals of data handling without confusion. It prepares you for upcoming topics like conditions, loops, functions, and AI program design concepts.