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C++
  • 1. C++ Basics
    • 1.1 Input, Output, and Program Structure
      • 1.1.1 Welcome to Data Structures in C++
      • 1.1.2 Hello World
      • 1.1.3 Input and Output
      • 1.1.4 getline and cin
      • 1.1.5 Program Structure
    • 1.2 Basic Data Types
      • 1.2.1 Basic Data Types
        • 1.2.1.1 Differences between C++ and Java Data Types and Variables
      • 1.2.2 Strings and Characters
      • 1.2.3 Numbers
      • 1.2.4 Booleans
    • 1.3 Conditional Statements
      • 1.3.1 Conditional Statements
      • 1.3.2 Basic If/Else Statements
      • 1.3.3 Comparing Strings
      • 1.3.4 Logical Operators
    • 1.4 Loops
      • 1.4.1 Loops
      • 1.4.2 For Loops
      • 1.4.3 While Loops
      • 1.4.4 Searching a String
    • 1.5 Functions in C++
      • 1.5.1 Functions in C++
      • 1.5.2 Defining and Calling Functions
      • 1.5.3 Passing by Reference vs Value
      • 1.5.4 Function Prototypes
  • 2. Going Beyond the Basics
    • 2.1 Vector Basics
      • 2.1.1 Vector Basics
      • 2.1.2 Creating and Accessing Vectors
      • 2.1.3 Inserting into a Vector
      • 2.1.4 Looping Through a Vector
    • 2.2 Function Default Values
      • 2.2.1 Function Default Values
      • 2.2.2 Default Values
      • 2.2.3 Default Values with a Prototype
      • 2.2.4 Example: Splitting a String
    • 2.3 Structs
      • 2.3.1 Structs
      • 2.3.2 Defining and Accessing Structs
      • 2.3.3 Using Structs: Line Length
    • 2.4 File Input/Output
      • 2.4.1 File Input/Output
      • 2.4.2 Reading in a File
      • 2.4.3 Processing a File
      • 2.4.4 Writing to a File
      • 2.4.5 Creating an Input Stream from a String
    • 2.5 Error Handling
      • 2.5.1 Error Handling
      • 2.5.2 Validating a Number
      • 2.5.3 Validating a Vector Index
      • 2.5.4 Throwing Other Values
  • 3. Libraries
    • 3.1 Header Files
      • 3.1.1 Header Files
      • 3.1.2 Header File
      • 3.1.3 Header and Implementation File
      • 3.1.4 Safer Header
    • 3.2 Using Libraries
      • 3.2.1 Using a Utilities Library
      • 3.2.2 The Util Library
  • 4. 2D Vectors, Stacks, and Queues
    • 4.1 2D Vectors
      • 4.1.1 2D Vectors
      • 4.1.2 The 2D Vector
      • 4.1.3 Creating a 2D Vector
    • 4.3 Stacks
      • 4.3.1 Stacks
      • 4.3.2 Basic Stack
      • 4.3.3 Stack Example: Reverse a String
    • 4.5 Queues
      • 4.5.1 Queues
      • 4.5.2 Basic Queues
      • 4.5.3 Queue Example: Next in Line
  • 5. Sets and Maps
    • 5.1 Pairs and Iterators
      • 5.1.1 Pairs and Iterators
      • 5.1.2 Pairs
      • 5.1.3 Iterators
    • 5.3 Sets
      • 5.3.1 Sets
      • 5.3.2 Basic Sets
      • 5.3.3 Iterating Through a Set
      • 5.3.4 Sets of Struct Values
    • 5.4 Maps
      • 5.4.1 Maps
      • 5.4.2 Map Basics
      • 5.4.3 Iterating Through a Map
      • 5.4.4 Updating Maps
  • 6. Recursion
    • 6.1 Functional Recursion
      • 6.1.1 Functional Recursion
      • 6.1.2 Basic Recursive Problem: Exponential
      • 6.1.3 Recursion Example: Reverse String
      • 6.1.4 Recursion Example: Make Sum
    • 6.2 Procedural Recursion
      • 6.2.1 Procedural Recursion
      • 6.2.2 Print Binary
      • 6.2.3 Print Permutations
      • 6.2.4 Depth vs Breadth Search
  • 7. Pointers, Linked Lists, and Graphs
    • 7.1 Pointers
      • 7.1.1 Pointers
      • 7.1.2 Assigning and Updating Pointers
      • 7.1.3 Pointers and Functions
      • 7.1.4 Pointers and Data Structures
    • 7.2 Linked Lists
      • 7.2.1 Linked Lists
      • 7.2.2 Basic Linked List
      • 7.2.3 Linked List and Recursion
      • 7.2.4 Example: Sorted Phone Book
      • 7.2.5 Doubly Linked List
    • 7.3 Graphs
      • 7.3.1 Graphs
      • 7.3.2 Basic Example: Breadth First Search
      • 7.3.3 Application: Connecting Cities
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  1. 5. Sets and Maps
  2. 5.1 Pairs and Iterators

5.1.1 Pairs and Iterators

Now we are going to start to look at associative data structures. Unlike vectors, stacks, and queues, associative data structures are not stored in a particular order and cannot be accessed in an orderly fashion. Instead, they are accessed through keys and values as opposed to an index.

You can also access all the elements in an associative data structure by iterating through them, however since there is no index to access the values, you need to access in a different way using an iterator.

In this lesson, you are going to get a quick introduction to two elements that will be used to help with access to these associative data structures, pairs and iterators. You will then use these as you explore sets and maps later.

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Last updated 3 years ago