(UPI) Chapter 11: Mastering List Operations, Iteration, and Comprehensions
59-minute College Credit Course
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Programmers often work on collections of data. Lists are a useful way of collecting data elements. Python lists are extremely flexible, and, unlike strings, a list's contents can be changed.
Introduction to Lists
The Objects chapter introduced lists. This chapter explores operations that can be performed on lists.
Comprehensive Guide to List Operations and Iteration in Python
Learn how to modify and iterate over lists in Python using operations like append(), remove(), and pop(), and loop through elements with for loops.
2 stepsSorting and reversing lists
Sorting organizes elements in a sequence in either ascending or descending order. It applies to both numerical and non-numerical data, with text being ordered by dictionary rules—like "bat" coming before "cat" because "b" is alphabetically less than "c".
2 stepsList Operations and Copying in Python
Explore how to use built-in functions like max(), min(), and sum() to perform essential operations on lists in Python. Learn how to copy lists and manage list references properly.
2 stepsWorking with List-of-Lists in Python
Learn how to use nested lists in Python, where lists can contain other lists as elements. Explore how to iterate through these lists using nested loops, making it easier to manage multidimensional data like matrices.
2 stepsUnderstanding and Utilizing List Comprehensions in Python
List comprehensions offer a compact way to create new lists by applying expressions or filtering elements based on conditions, making it easier to transform or select data in Python.
3 steps