Empty your cup so that it may be filled - simple and flexible container classes

In Python, there are many ways to create a simple data container class to store attributes. Let's explore two straightforward methods: using a generic object and using the `type()` function. Both methods allow us to easily create and manipulate objects with dynamic attributes. 🌟

## Method 1: Using a Generic Object 💼

In this method, we create a generic object class and add attributes to it dynamically.

```python
class generic_object():
    pass

o1 = generic_object()
o1.a = 1
print(o1.a)  # Output: 1
```

### Breakdown 🛠️

1. **Class Definition**: We define an empty class called `generic_object`.
2. **Object Creation**: We create an instance of this class called `o1`.
3. **Adding Attributes**: We dynamically add an attribute `a` to `o1` and set its value to `1`.
4. **Accessing Attributes**: We access and print the value of `a`, which is `1`.

This method is simple and flexible, allowing us to add any attribute to our object on the fly. 🎈

## Method 2: Using the `type()` Function 🧩

Another approach is using the `type()` function, which can dynamically create a class.

```python
o1 = type("dummy", (), {})()
o1.a = 1
print(o1.a)  # Output: 1
```

### Breakdown 🛠️

1. **Dynamic Class Creation**: We use the `type()` function to create a new class called `dummy`. The function takes three arguments:
   - The class name (`"dummy"`).
   - The base classes (an empty tuple `()` indicating no base classes).
   - The class attributes (an empty dictionary `{}` indicating no initial attributes).
2. **Object Creation**: We create an instance of this dynamically created class called `o1`.
3. **Adding Attributes**: We dynamically add an attribute `a` to `o1` and set its value to `1`.
4. **Accessing Attributes**: We access and print the value of `a`, which is `1`.

This method is slightly more advanced but powerful, as it allows us to create classes on the fly with custom attributes and methods. 🔧

## Conclusion 🎉

Both methods offer simple and effective ways to create data container classes in Python. Whether you prefer the straightforward approach of a generic object or the dynamic capabilities of the `type()` function, Python provides the tools you need to manage your data with ease. Happy coding! 💻😊

 

Interactive example

https://colab.research.google.com/drive/1sIf0QbJuMGUCQxWNy_yTOVMKCsnb67SW