Fundamentals of Python: First Programs Chapter 5
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Questions and Answers

What is a primary characteristic of a list in Python?

  • Lists organize data values by association with other data values.
  • Lists can only contain numeric data types.
  • Lists allow manipulation of a sequence of data values of any types. (correct)
  • Lists are immutable and cannot be changed after creation.
  • When should a dictionary be preferred over a list?

  • When the data set is fixed and known at compile time.
  • When the programmer needs to maintain the order of data entries.
  • When data should be accessed by a sequential index.
  • When data needs to be associated with unique keys. (correct)
  • Which of the following best describes the capabilities of methods used on lists?

  • Methods on lists can be used to sort, manipulate and traverse items. (correct)
  • Methods cannot modify the original list content.
  • Methods on lists can only add new items to the end of the list.
  • Methods may only be used to remove items from the list.
  • Which of the following statements is true regarding the manipulation of dictionaries?

    <p>Dictionaries allow modification of their entries post-creation.</p> Signup and view all the answers

    What is NOT an objective related to lists in Python programming?

    <p>Use methods to manipulate integers through list structures.</p> Signup and view all the answers

    What is the output of the expression list(range(1, 5))?

    <p>[1, 2, 3, 4]</p> Signup and view all the answers

    How many elements will the list third contain after executing third = list('Hi there!')?

    <p>9</p> Signup and view all the answers

    What does the expression first[2:4] return if first = [1, 2, 3, 4]?

    <p>[3, 4]</p> Signup and view all the answers

    Which of the following methods can be used to create a list from an iterable sequence of elements?

    <p>list()</p> Signup and view all the answers

    What will be the result of the following operation: first + [5, 6] if first = [1, 2, 3, 4]?

    <p>[1, 2, 3, 4, 5, 6]</p> Signup and view all the answers

    What is the main purpose of defining simple functions in Python?

    <p>To organize code more effectively</p> Signup and view all the answers

    What will be printed as the median of the list of numbers if the list contains an even number of elements?

    <p>The average of the two middle numbers</p> Signup and view all the answers

    Which of the following correctly represents a tuple in Python?

    <p>(‘apple’, ‘banana’)</p> Signup and view all the answers

    In a Python function definition, what is referred to as the 'docstring'?

    <p>A comment detailing what the function does</p> Signup and view all the answers

    What does the expression len(first) return if first = [1, 2, 3, 4]?

    <p>4</p> Signup and view all the answers

    What is the output of the expression first[2:4] if first = [1, 2, 3, 4]?

    <p>[3, 4]</p> Signup and view all the answers

    Which method can be used to create a list containing the characters from the string 'Hello'?

    <p>list('Hello')</p> Signup and view all the answers

    Given second = list(range(1, 5)), which of the following statements is true?

    <p>second contains the numbers 1 to 4</p> Signup and view all the answers

    What is the result of concatenating the lists first = [1, 2, 3] and second = [4, 5]?

    <p>[1, 2, 3, 4, 5]</p> Signup and view all the answers

    Study Notes

    Fundamentals of Python: First Programs (Chapter 5)

    • Lists and dictionaries are data structures for organizing data.
    • Lists store data values in a sequence, indexed from 0.
    • Dictionaries organize data using key-value pairs.
    • Lists are mutable (changeable).
    • Dictionaries are also mutable.
    • Lists use square brackets, dictionaries use curly braces.
    • List elements can be of any type, dict keys are immutable types (e.g., strings, numbers).
    • Lists are accessed via index, dictionaries via keys.

    Objectives

    • Construct lists and access items within.
    • Use methods to manipulate lists (e.g., append, insert, extend, remove).
    • Traverse lists to process items.
    • Construct dictionaries and access entries.
    • Manipulate dictionaries.
    • Choose appropriate data structures for applications.

    Introduction

    • Lists allow manipulation of data sequences of any type.
    • Dictionaries associate data values by association rather than sequential positions.
    • Lists and dictionaries are valuable for organizing data for applications.

    Lists

    • Lists are sequences of items (elements).
    • Examples include shopping lists, to-do lists, and rosters.
    • Each item in a list has a unique index.
    • Indices range from 0 to length—1.

    List Literals and Basic Operators

    • Examples include lists of strings and nested lists.
    • List elements are expressions, their values are included in the list.
    • The list function builds lists from iterables sequences.
    • len, [], +, and == operators work as expected with lists.

    Replacing an Element in a List

    • Lists are mutable, elements can be replaced, removed, or inserted.
    • The subscript operator [] is used to replace elements.

    List Methods for Inserting and Removing Elements

    • Methods to append, extend, insert, pop, and pop(index).

    Searching a List

    • Use the 'in' operator to test for an element's presence.
    • The index method locates the position of an element.

    Sorting a List

    • The sort method arranges list elements naturally.

    Mutator Methods and the Value None

    • Mutator methods (e.g., insert, append, extend, pop, and sort)
    • Python automatically returns the value None.

    Aliasing and Side Effects

    • Mutable lists can lead to aliasing (multiple variables referring to the same object).
    • Copying list contents avoids aliasing.

    Equality: Object Identity and Structural Equivalence

    • The == operator tests for structural equivalence (same content).
    • The is operator tests for object identity (same object).

    Example: Using a List to Find the Median of a Set of Numbers

    Tuples

    • Tuples resemble lists but are immutable.
    • Elements of a tuple are enclosed in parentheses.

    Defining Simple Functions

    • Functions organize code for better execution.
    • Function definition involves header and body.
    • Docstring describes the function's purpose.

    Parameters and Arguments

    • Parameters are names used in function definitions.
    • Arguments match parameters in position.
    • Functions can be defined with no parameters

    The Return Statement

    • Return statements specify values to be returned.
    • If no return, Python returns None.

    Boolean Functions

    • Returns true if an argument has a certain property, otherwise false.

    Defining a Main Function

    • main is the entry point for a script.

    Dictionaries

    • Dictionaries organize data using keys and values.
    • Keys are associated with values.

    Dictionary Literals

    • Key-value pairs separated by commas.
    • Enclosed in curly braces.

    Adding Keys and Replacing Values

    • Dictionaries use [] to add and replace key-value pairs.

    Accessing Values

    • Accessing values via keys.
    • has_key can test for key existence.
    • Using the get method for value retrieval

    Removing Keys

    • Use the pop method to remove items.

    Traversing a Dictionary

    • Traversing using items() method for key-value pairs.
    • Keys with values are returned in list form.
    • keys() method returns list of keys.
    • sort() method can be used to order keys

    Chapter Summary

    • A list is a sequence; manipulated with operators like subscript.
    • Tuples resemble lists, but tuples are immutable.
    • Functions have headers and body,return values.
    • Dictionaries organize data with keys/values.
    • Mutable objects can cause aliasing, functions can be called with parameters.

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    Explore the fundamental data structures in Python, focusing on lists and dictionaries. This quiz will test your understanding of how to construct, manipulate, and access these data structures effectively. Gain practical skills for choosing the right data structure for various applications.

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