Lecture Topics:

Establishing Class/User Data and making a new user

In Python, classes are templates used to create objects, which are instances of those classes. Classes define the data elements (attributes) and methods that describe the behavior of the objects. Let's explore how to define a class and create objects in Python.

Example: Defining a User class

class User:
    def __init__(self, username, email):
        self.username = username
        self.email = email

    def display_info(self):
        print(f"Username: {self.username}, Email: {self.email}")

In this example, we define a User class with a constructor method init that takes username and email as arguments. The display_info method is used to print the user information.

In the context of backend functionality, this class can be used to create, manipulate, and manage user data. For example, when a new user signs up for an account, you could create a new User object with their username and email. This object can then be used to perform various operations, such as validating the user's input, storing the user's data in a database, or processing user-related requests.

Creating a new user:

new_user = User("john_doe", "john@example.com")
new_user.display_info()

Here's a step-by-step breakdown of how the code relates to backend functionality:

new_user = User("john_doe", "john@example.com"): This line creates a new User object, initializing it with the username "john_doe" and the email "john@example.com". This could represent a user who has just signed up for an account, and the input values would typically come from user input, such as a registration form.

new_user.display_info(): This line calls the display_info method on the new_user object, which prints the user's information (username and email) to the console. In a real-world backend application, you might use this method or a similar one to display user information in logs, send a welcome email, or create an API response with the user's data.

Lecture Topics:

Establishing Class/User Data and making a new user

In Python, classes are templates used to create objects, which are instances of those classes. Classes define the data elements (attributes) and methods that describe the behavior of the objects. Let's explore how to define a class and create objects in Python.

Example: Defining a User class

python

class User: def init(self, username, email): self.username = username self.email = email

def display_info(self):
    print(f"Username: {self.username}, Email: {self.email}")

In this example, we define a User class with a constructor method init that takes username and email as arguments. The display_info method is used to print the user information.

Creating a new user:

python

new_user = User("john_doe", "john@example.com") new_user.display_info()

Here, we create a new User object, new_user, with a specified username and email. We then call the display_info method to display the user's information.

Using property decorators (getter and setter)

Property decorators allow developers to access and modify instance data more concisely. The @property decorator creates a getter method, while the @attribute.setter decorator creates a setter method.

Example:

class Employee:
    def __init__(self, employee_id, name):
        self._employee_id = employee_id
        self._name = name

    @property
    def name(self):
        return self._name

    @name.setter
    def name(self, new_name):
        self._name = new_name

In this example, the Employee class has a name attribute, which is accessed and modified through the name property getter and setter methods. The _name attribute uses an underscore prefix, which is a convention to indicate it should not be accessed directly.

In the context of backend functionality, this Employee class can be used to model employees within an application. You can create instances of this class to store and manage employee data, and the getter and setter methods can be used to access and modify employee information in a controlled way.

Usage:

employee = Employee(1001, "John Doe")
print(employee.name)  # Get the name using the getter method

employee.name = "Jane Doe"  # Set the name using the setter method
print(employee.name)

employee = Employee(1001, "John Doe") print(employee.name) # Get the name using the getter method

employee.name = "Jane Doe" # Set the name using the setter method print(employee.name)

In the context of backend functionality, the getter and setter methods provide a clean and controlled way to access and modify the attributes of an object. This can be particularly useful when interacting with databases, APIs, or other parts of a web application that require the management and manipulation of object attributes.

class Car:
    def __init__(self, make, model, year):
        self._make = make
        self._model = model
        self._year = year

    @property
    def make(self):
        return self._make

    @make.setter
    def make(self, new_make):
        self._make = new_make

    @property
    def model(self):
        return self._model

    @model.setter
    def model(self, new_model):
        self._model = new_model

    @property
    def year(self):
        return self._year

    @year.setter
    def year(self, new_year):
        self._year = new_year

Students can then practice creating instances of their Car class and using the getter and setter methods to access and modify the car attributes.

In the context of backend functionality, this Car class can be used to model cars within an application. You can create instances of this class to store and manage car data, and the getter and setter methods can be used to access and modify car information in a controlled way.

Conclusion

WE COVERED: In conclusion, we have covered essential concepts in object-oriented programming using Python, including:

Defining classes and creating objects Property decorators (getter and setter) Class methods and static methods Inheritance and method overriding Working with multiple objects and class attributes

These concepts provide a solid foundation for understanding how to model real-world entities using classes and objects in Python. By learning to work with classes, objects, and their methods, students can develop more efficient and modular code.

As students become more comfortable with these concepts, they can explore more advanced topics, such as multiple inheritance, abstract classes, encapsulation, and polymorphism. Additionally, they can apply these principles to practical projects like web development with Flask and SQLite, as discussed earlier.

Overall, mastering object-oriented programming will greatly enhance students' ability to develop complex and maintainable software systems.

Now I'm going to hand it off to Samit and Martin