In this lecture of our Python for AI & Data Science series, we learn one of the most important concepts in Python — Lists. GitHub: https://github.com/codewithaarohi/Python_for_DataScience/blob/main/list_program.ipynb In Data Science, we don’t work with just one number. We work with thousands or even millions of data points. So how do we store multiple values together? That’s where Python Lists come in. In this video, you will learn: ✔ What is a List ✔ How to create a list ✔ Indexing (including negative indexing) ✔ Finding length using len() ✔ Adding elements using append() ✔ Removing elements using remove() ✔ Modifying list values (Mutable concept) ✔ Looping through a list ✔ Calculating average using a list ✔ Why lists are important in AI & Machine Learning You’ll also understand how lists are the foundation of libraries like NumPy and pandas. If you want to start Machine Learning confidently, this is a MUST-WATCH lecture. Practice the task given in the video and comment “LIST DONE” after completing it 💬 📸 Follow me on Instagram: @codewithaarohihindi 🔗 https://instagram.com/codewithaarohihindi 📧 You can also reach me at: aarohisingla1987@gmail.com

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