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Day 3 - Python Lists Complete Tutorial | Indexing, Slicing, Methods, Copy, Loops & Comprehension

This tutorial provides a comprehensive introduction to Python Lists, covering both fundamental and advanced concepts essential for Python programming, Data Science, and technical interviews.

Topics Covered

• What is a List?
• List Creation and Access
• Indexing and Negative Indexing
• Slicing Techniques
• Built-in List Methods
• List Concatenation
• Normal Copy vs Shallow Copy vs Deep Copy
• Iterating Through Lists Using For Loops
• Iterating Through Lists Using While Loops
• List Comprehension
• Practical Coding Examples

Learning Outcomes

By the end of this session, you will be able to:
✔ Understand and manipulate Python Lists efficiently
✔ Apply indexing and slicing techniques effectively
✔ Use built-in list methods for data operations
✔ Differentiate between normal, shallow, and deep copying
✔ Implement loops to process list elements
✔ Write concise and optimized code using list comprehensions

Intended Audience

• Python Beginners
• Computer Science Students
• Data Science and Machine Learning Aspirants
• Software Developers
• Technical Interview Candidates

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#python #pythonprogramming #pythonlists #datascience #machinelearning #deeplearning #nlp #generativeai #agenticai #artificialintelligence #coding #programming #learnpython #pythontutorial #techeducation

Видео Day 3 - Python Lists Complete Tutorial | Indexing, Slicing, Methods, Copy, Loops & Comprehension канала learnwithvasanth
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