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Programming with Lists and Tuples in Python

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Programming with Lists and Tuples

The list Object

In Python, a list is an ordered sequence of elements that can store items of any type. Lists are denoted by square brackets [ ] and items are separated by commas. Importantly, lists are mutable, meaning their contents can be changed after creation.

  • Definition: A list is a collection of items, which can be of mixed types, stored in a specific order.

  • Syntax: list_name = [item1, item2, item3]

  • Example: team = ["Seahawks", 2014, "CenturyLink Field"]

  • Mutability: Lists can be modified after creation (items can be added, removed, or changed).

Creating Lists from Strings

The list() function can convert a string into a list of its characters. However, it cannot convert an integer directly into a list, as integers are not iterable.

  • Example: phoneNumber = "9876543219" c1 = list(phoneNumber) Output: ['9', '8', '7', '6', '5', '4', '3', '2', '1', '9']

  • Error Example: phoneNumber2 = 9876543219 c2 = list(phoneNumber2) Output: TypeError: 'int' object is not iterable

Indexing in Lists

Items in a list are indexed starting from 0 for the first element. Negative indices start from -1 for the last element and count backwards.

  • Accessing Elements: listName[i] returns the item at index i.

  • Example: team[1] = 2014, words[-2] = "spam"

  • Practice: What is team[i-1]? What is nums[0]+1? What is words[2]?

List Operations and Methods

Python provides various built-in functions and methods to manipulate lists. These include operations for measuring, modifying, and accessing list contents.

Function or Method

Example

Value

Description

len(words)

len(words)

2

Number of items in list

max(nums)

max(nums)

10

Greatest item (items must be same type)

min(nums)

min(nums)

4

Least item (items must be same type)

sum(nums)

sum(nums)

24

Total (items must be numbers)

nums.count(5)

nums.count(5)

2

Number of occurrences of an item

nums.index(4)

nums.index(4)

2

Index of first occurrence of an item

words.reverse()

words.reverse()

['ni', 'spam']

Reverses the order of the items

team.clear()

team.clear()

[]

Empties the list

Method

Example

Value

Description

nums.append(7)

nums.append(7)

[5, 10, 4, 5, 7]

Inserts object at end of list

nums.extend([1, 2])

nums.extend([1, 2])

[5, 10, 4, 5, 1, 2]

Inserts new list's items at end

del team[1]

del team[1]

['Seahawks', 'CenturyLink Field']

Removes item with stated index

nums.remove(5)

nums.remove(5)

[10, 4, 5]

Removes first occurrence of an object

words.insert(1, "wink")

words.insert(1, "wink")

['spam', 'wink', 'ni']

Insert new item before item at index

[a] + [b]

[a] + [b]

[a, b]

Concatenation; same as extend([b])

[0] * 3

[0] * 3

[0, 0, 0]

List repetition

Practice: Modifying Lists

Lists can be modified by inserting, deleting, or updating elements. For example, given L = ["sentence", "contains", "five", "words"]:

  • Insert "This" as the first element: L.insert(0, "This")

  • Display list L: print(L)

  • Delete 4th element: del L[3]

  • Insert "six" as the 4th element: L.insert(3, "six")

  • Insert "different" as the 5th element: L.insert(4, "different")

  • Display list L: print(L)

Practice: Calculating Average After Dropping Lowest Grades

Write a program that requests five grades as input, drops the two lowest grades, and calculates the average of the remaining three.

  • Algorithm:

    1. Input five grades and store in a list.

    2. Sort the list and remove the two lowest grades.

    3. Calculate the average of the remaining grades.

    4. Display the result.

  • Example Output:

    • a grade: 40

    • a grade: 35

    • a grade: 14

    • a grade: 98

    • a grade: 100

    • Average is 79.33

*Additional info: More advanced list operations include slicing, copying, and using built-in methods for efficient data manipulation. Lists are foundational for data structures and algorithms in Python.*

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