Changing Internal Representation (38.1.6) - Classes and objects in Python
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Changing Internal Representation

Changing Internal Representation

Practice

Interactive Audio Lesson

Listen to a student-teacher conversation explaining the topic in a relatable way.

Introduction to Classes and the 'self' Parameter

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Teacher
Teacher Instructor

Good morning, class! Today, we're going to dive into classes and objects in Python. Can anyone tell me what a class is?

Student 1
Student 1

Isn't it a blueprint for creating objects?

Teacher
Teacher Instructor

Exactly! And when we create an instance from a class, we call that instance an object. Now, in Python, every method in a class must include 'self' as its first argument. Can anyone explain why?

Student 2
Student 2

I think it's because 'self' refers to the instance of the object?

Teacher
Teacher Instructor

That's correct! 'Self' allows methods to access attributes of the class instance. Think of it as a way for the methods to say, 'I'm working with this specific object.'

Internal Representation of a Point

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Teacher
Teacher Instructor

Let's illustrate with a common example: a point in 2D space, represented by x and y coordinates. When we created a point, how do we initialize it?

Student 3
Student 3

We use the '__init__' method, right?

Teacher
Teacher Instructor

Yes! The '__init__' function sets the initial values of x and y for our point. What about accessing these values?

Student 4
Student 4

We use 'self.x' and 'self.y' to refer to the x and y attributes of the current object.

Teacher
Teacher Instructor

Perfect! So 'self' keeps track of which object's attributes we are accessing. Remember this when we manipulate data inside our classes!

Changing Representations - Cartesian to Polar Coordinates

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Teacher
Teacher Instructor

Now, let’s consider how we could represent points using polar coordinates instead of Cartesian coordinates. Why would we want to do that?

Student 1
Student 1

Maybe for performance reasons when calculating distances?

Teacher
Teacher Instructor

Exactly! If we often need the distance from the origin, using r directly saves us from computing it every time. What’s the formula to get r?

Student 2
Student 2

It's the square root of x squared plus y squared!

Teacher
Teacher Instructor

Right! Remember, regardless of the internal changes we make, the functions we expose to users should remain consistent.

Using Default Arguments

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Teacher
Teacher Instructor

Let’s broaden our understanding by discussing default arguments. Why would we use them in our point class?

Student 3
Student 3

To set a default position for the point, like (0, 0) if no values are provided!

Teacher
Teacher Instructor

Correct! This makes our class more flexible. If a user creates a point without arguments, it defaults to the origin. How would we define that?

Student 4
Student 4

We could set a and b to zero in the init method!

Teacher
Teacher Instructor

Exactly! This is a simple way to avoid errors while initializing.

Key Takeaway - Functionality vs. Implementation

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Teacher
Teacher Instructor

Before we conclude, what’s the main takeaway when we talk about internal representation versus the external interface?

Student 1
Student 1

That we can change how data is represented internally without changing how users interact with the object!

Teacher
Teacher Instructor

Precisely! This separation allows for optimization without compromising user experience. Great job, everyone!

Introduction & Overview

Read summaries of the section's main ideas at different levels of detail.

Quick Overview

This section explains the concept of internal representation in Python classes, particularly focusing on how attributes are defined and manipulated, using a point class as an example.

Standard

In this section, we delve into how Python uses classes and the 'self' parameter to manage object attributes. Using examples like points and their translation, we cover how internal representations can be changed without altering the public interface of functions. The section emphasizes understanding how data encapsulation works in object-oriented programming.

Detailed

Changing Internal Representation

This section focuses on the principles of object-oriented programming (OOP) in Python, particularly how the internal representation of data can be manipulated without changing the way functions behave externally.

Key Concepts:

  • Classes and Objects: Python allows programmers to define a data type through classes, creating instances known as objects. For instance, a class defining a point could have attributes like x and y for its coordinates.
  • 'Self' Parameter: Every method within a class requires a first argument self, which refers to the instance of the object itself. This allows methods to access and modify the object's attributes.
  • Internal Representation: The section illustrates two ways to internally represent a point—using Cartesian coordinates (x, y) and polar coordinates (r, θ). The transition between these representations is possible while keeping the interface (i.e., how users interact with the functions) consistent.
  • Functionality vs. Implementation: Modifications in internal representation shouldn't affect how users interact with the object. For example, changing to polar coordinates improves efficiency for certain functions but requires conversion for others.
  • Default Arguments: Demonstrating the use of default values in function arguments, the section cites examples where points can default to the origin if no coordinates are provided.

This understanding of data encapsulation, method attributes, and the use of constructors in class definitions is essential for mastering Python's object-oriented features.

Youtube Videos

GCD - Euclidean Algorithm (Method 1)
GCD - Euclidean Algorithm (Method 1)

Audio Book

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Significance of Self in Python Classes

Chapter 1 of 5

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Chapter Content

We saw a skeleton implementation of a heap. This had a special function called init, which was used to create the heap, and then we had functions insert and delete. Now one thing which we did not explain is this argument self that run through this. This is a convention which we have in python that every function defined inside a class should have as its first parameter the name self, now it need not be called self, but it is less confusing to always call it, self.

Detailed Explanation

In Python, when you create a class, like a heap, you define functions to manage its data. The first parameter of these functions is conventionally named 'self'. This refers to the instance (or object) of the class. It's like saying, 'this function applies to this specific object of the class'. For example, if you have a heap object named 'h' and you call 'h.insert(17)', inside the insert function, 'self' refers to 'h', allowing you to manipulate its contents.

Examples & Analogies

Think of 'self' as your personal identification in a group. If you were in a classroom and the teacher asked a question, you might respond, 'In my opinion, ...'. Here, 'my' refers to you, just like 'self' refers to the specific object or instance in the Python class.

Defining Point with Coordinates

Chapter 2 of 5

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Chapter Content

Our first example is just a representation of a point x y. So, we are just thinking about a normal coordinate system, where we have the x-axis, the y-axis. Therefore, a given point is given some coordinate like a comma b. This is a point with x-coordinate a and y-coordinate b, this is a familiar concept that all of you must have seen in mathematics somehow.

Detailed Explanation

In this example, we define a Point class that represents a point in a 2D space using x and y coordinates. When initializing a Point, you pass the x and y values, and these values are assigned to 'self.x' and 'self.y', respectively. This ensures that every point object accurately holds its own unique coordinates.

Examples & Analogies

Imagine plotting your home on a map using coordinates. Your home might be located at (3, 4) where '3' represents the right position from the left edge of the map (x-axis) and '4' is the upward position from the bottom (y-axis). Each home on the map corresponds to a unique pair of coordinates.

Shifting the Point's Position

Chapter 3 of 5

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So, you want to say shift this to 3 plus delta x and 4 plus delta y. This function we called translate. So, it takes the amount of shift as the argument, delta x and delta y.

Detailed Explanation

The translate function modifies the position of a point by shifting it according to delta x and delta y values. When you call 'p.translate(2,1)', the current point's coordinates are updated: x becomes 'self.x + delta x' and y becomes 'self.y + delta y'. This example highlights how you can change an object's internal state using methods in a class.

Examples & Analogies

Think of the point as a character in a video game. If you want to move your character to the right and slightly up by specific amounts, you would tell the game to shift your character’s position. The 'shift' here is similar to how we apply 'delta' movements to our point.

Calculating the Distance from Origin

Chapter 4 of 5

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Supposing we want to compute the distance of a point from the origin. So, we want to know what is this distance by Pythagoras' theorem is nothing but the square root of x square plus y square.

Detailed Explanation

To calculate the distance from the origin (0, 0) to a point (x, y), we use the Pythagorean theorem. This involves squaring the x and y coordinates, adding them together, and taking the square root. The method does not require any parameters other than 'self' because it inherently works with the point's own coordinates.

Examples & Analogies

Imagine you are standing on the ground (the origin) and need to find out how far away a tree is located at point (3, 4) in the park. By using the Pythagorean theorem (like measuring the sides of a right triangle), you can find out the straight-line distance to the tree.

Changing Internal Representation

Chapter 5 of 5

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Chapter Content

We could change our implementation, so that we do not keep the internal representation in terms of x and y, we actually keep it in terms of r and theta.

Detailed Explanation

In programming, you can change how data is internally stored without affecting how it behaves from the user's perspective. For example, instead of using Cartesian coordinates (x, y) to represent a point, you can use polar coordinates (r, theta). Despite this change, the methods still work the same way, showing the flexibility of object-oriented design.

Examples & Analogies

Imagine organizing your closet by seasons instead of colors. You still access clothes the same way (like putting on a shirt) regardless of how they are organized. Changing the internal organization makes finding things more efficient, just as switching from (x, y) to (r, theta) can be more efficient for certain tasks.

Key Concepts

  • Classes and Objects: Python allows programmers to define a data type through classes, creating instances known as objects. For instance, a class defining a point could have attributes like x and y for its coordinates.

  • 'Self' Parameter: Every method within a class requires a first argument self, which refers to the instance of the object itself. This allows methods to access and modify the object's attributes.

  • Internal Representation: The section illustrates two ways to internally represent a point—using Cartesian coordinates (x, y) and polar coordinates (r, θ). The transition between these representations is possible while keeping the interface (i.e., how users interact with the functions) consistent.

  • Functionality vs. Implementation: Modifications in internal representation shouldn't affect how users interact with the object. For example, changing to polar coordinates improves efficiency for certain functions but requires conversion for others.

  • Default Arguments: Demonstrating the use of default values in function arguments, the section cites examples where points can default to the origin if no coordinates are provided.

  • This understanding of data encapsulation, method attributes, and the use of constructors in class definitions is essential for mastering Python's object-oriented features.

Examples & Applications

Defining a simple class Point with x and y attributes initialized in the init method: 'class Point: def init(self, x, y): self.x = x; self.y = y'.

To create a point at (3, 4): 'p = Point(3, 4)' where p is an object of the Point class.

Memory Aids

Interactive tools to help you remember key concepts

🎵

Rhymes

Classes create, objects relate; 'self' is key, to navigate.

📖

Stories

Imagine a magician (the class) creating magic (objects) with a special wand (self), making each spell (method) unique!

🧠

Memory Tools

To remember the key parts: C for Class, O for Object, S for self, I for attributes, and D for Default arguments—C, O, S, I, D.

🎯

Acronyms

COSA

Class

Object

Self

Attributes—the four pillars of Python OOP!

Flash Cards

Glossary

Class

A blueprint for creating objects that encapsulates data and functions to manipulate that data.

Object

An instance of a class that contains the attributes and behaviors defined by its class.

self

A conventional name for the first parameter of instance methods in Python, which refers to the object itself.

Attribute

A variable bound to an instance of a class, which holds data specific to that object.

__init__

A special method in Python classes, known as a constructor, which is called when an instance of the class is created.

Default Arguments

Predefined values for function parameters that are used when no argument is provided during the function call.

Internal Representation

The way data is stored and manipulated within a class, which may be different from how it is presented to the user.

Reference links

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