Python for Data Science - #11 Sequence data | Part 4 | Python for Data Science

Welcome to 'Python for Data Science' course ! This video covers methods in Python, which are similar to functions but must be called on an object. Methods can be used on both sequential and non-sequential data types. The lecture emphasizes that methods return new values without modifying the original data. For example, the `replace()` method for strings returns a new string with the specified replacements, but it does not change the original string (). The lecture discusses several methods, including `len()`, `index()`, `count()`, `append()`, `remove()`, `insert()`, `pop()`, `reverse()`, `sort()`, `update()`, `union()`, and `intersection()`, and specifies which data types they can be applied to. The lecture also covers how to use the `help()` function to learn more about different methods. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106212 #BuiltinMethods #len #min #max #index #count #append #insert #remove #pop #sort #reverse #copy #clear