Institution: Georgetown University
Context: Understanding the C++ programming paradigm focusing on Classes and Object-Oriented Programming (OOP).
Processor Performance: Explains the computation pace of x64 processors involved in running complex systems like XNU kernel and browsers.
Key Concepts Covered:
Introduction to objects
Abstract Data Types (ADT)
Object-oriented programming principles
Class member functions
Object lifecycle: Creation and destruction
Operators in context of classes
Abstract Data Types (7.1)
Object-oriented programming (7.2)
Introduction to classes (7.3)
Creating and using objects (7.4)
Member Functions: Definition and Implementation (7.5; 7.11)
Private Member Functions (7.8)
Constructors and Destructors:
Constructors: Initialize objects (7.6)
Destructors: Clean up when objects are destroyed (7.7)
Copy Constructors: Handle copying of objects (11.5)
Passing Objects: Parameters in functions (7.9)
Class Operators:
Friend Classes: Access private members (11.3)
Operator Overloading: Customize operator behavior (11.6)
Type Conversion Operators: Handle data type interchange (11.8)
Primitive Data Types:
int (short/long)
float/double
char
bool
Standard Library Types:
string
vector<>
Real-world Data Complexity: Emphasis on varying structures of real-world data.
Definition: General models representing the essence of data or processes.
Quote: "All models are wrong. Some models are useful.” - George Box
Definition: Programmer-defined types encapsulating both data and behavior.
Characteristics:
Shape of data (legal values)
Operations that can be performed on the data
Provide a better representation of real-world problems than primitive types.
Encapsulate behaviors and hide internal workings, allowing for data integrity and abstractions.
String Class:
Represents strings as character sequences, simplifies usage without deep implementation understanding.
Vector Class:
Dynamic arrays capable of resizing.
Mathematical Complex Numbers:
Defined by real and imaginary components.
Focus on behaviors, solving problems through function-centric steps.
Focus on participants (objects) in a problem, emphasizing their attributes and capabilities.
Class: Blueprint for creating objects, encapsulating data attributes and methods.
Object: Instance of a class.
Attribute: Data stored in an object.
Method: Functions that define actions objects can perform.
Encapsulation: Grouping data and methods that operate on that data within a class.
Data Hiding: Concealing class internals from the user to prevent improper behavior.
Keywords and syntax for declaring classes.
Members include attributes and methods.
Access levels: public/protected/private members.
Access Levels: Determines visibility of members to code.
Private Members: Accessible only within class functions, promoting encapsulation practices.
Instantiation: Creating an object from a class, its own copy of member variables.
Accessor Operator: Using “.” to reference objects' attributes and methods.
Constructors: Special functions invoked at object creation for initialization.
Destructors: Functions called when an object is destroyed to clean up resources.
Define behavior for copying objects ensuring independent instances (deep copy).
Automatically provided behavior of copy constructors & assignment operators; may need custom implementation for resource management.
Mechanism to redefine standard operators for user-defined types, e.g., operator+
for adding complex numbers.
Operators: For example, <<
for output and >>
for input for objects.
Major principles of OOP: encapsulation, data hiding, class structure, and operators for enhancing functionality.
Understanding of constructors, destructors, and copy constructors in memory management.
Importance of syntactical rules for seamless programming in C++.