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 Subscribe for more tutorials on Python, Data Science, Machine Learning, Deep Learning, NLP, Generative AI, Agentic AI, AWS, Azure, and Real-World AI Projects. #python #pythonprogramming #pythonlists #datascience #machinelearning #deeplearning #nlp #generativeai #agenticai #artificialintelligence #coding #programming #learnpython #pythontutorial #techeducation