Type Python! Correct class usage and object-oriented programming

Write robust, secure Python code with object-oriented programming and typing.

Why Learn Object-Oriented Programming in Python ?

One. Easy to maintain!

In procedural programming, code modifications require searching and fixing each piece individually, making it easy to forget what needs to be changed. However, in object-oriented programming, the parts that need to be modified are modularized, making it easy to find and quickly modify the relevant module. This means easier maintenance. Furthermore, classes that are abstracted and encapsulated according to object-oriented programming principles can be easily imported and used by other developers without a deep understanding of the class's internal logic, and can be extended through inheritance.

Two. Productivity increases!

When implementing or researching deep learning, machine learning, or data science applications in Python, it's common to analyze the code's meaning and create comparative code by varying parameters and models. Writing this code in procedural programming can lead to disorganized code and reduced productivity. Rewriting this code in object-oriented programming, which closely approximates the semantics of actual research situations, can result in readable and highly productive code.

3. Commercial large-scale software development possible!

When developing web applications with Python, you'll likely use frameworks like Django, Flask, and FastAPI. In these cases, object-oriented programming (OOP) allows you to create robust software products for reason #1. For this reason, OOP is a widely used technique in the development of large, commercial software products that ensure stability. Therefore, if you're building an application with Python, OOP concepts are essential.

Learn object-oriented programming,
Robust, secure, and scalable development!

Object-oriented programming is widely used in large-scale software development and development projects requiring high stability because it makes programs flexible and easy to modify. It also simplifies development and maintenance, and allows for more intuitive code analysis.

The combination of Python's intuitive development tools and object-oriented programming can bring both efficiency and intuitiveness to development.

This is good for people like me

Beginner to Object-Oriented Programming

The concept of OOP
Anyone who wants to know what it is

Type User

Safe and sturdy
Those who want to use Python

Those who find class grammar difficult

People who know conditional statements, functions, and variables, but don't know how to use classes

hands-on worker

Machine learning, web development, etc.
OOP in practice
Those who wish to apply

I've incorporated all four concepts below into my lectures 🧨

One. Understanding object-oriented programming.

Object-oriented programming is a coding technique that closely models the real world, increasing code reusability, maintainability, and productivity. Many excellent software products have been developed while adhering to object-oriented principles.

We'll teach you how to understand object-oriented programming and apply it in practice by creating a robot blueprint based on OOP principles. This process will help you write secure, scalable, and robust code. Furthermore, we'll show you how to apply these principles to meaningful development using real-world frameworks and libraries.

2. How to do object-oriented programming in Python.

Simply using classes isn't object-oriented programming. We'll teach you how to use classes while adhering to fundamental OOP principles. This begins with learning the basics of decorators. Then, you'll understand OOP principles—encapsulation, encapsulation, inheritance, polymorphism, and composition—by directly implementing them in code. Finally, you'll learn how to create and apply stacks and queues, two of the most fundamental data structures in computer science, using object-oriented programming.

3. How to type in untyped Python.

Developing with Python, with its simple, concise syntax and typeless syntax, allows you to accomplish more with less code, resulting in incredible productivity. However , when developing large-scale software with Python, its lack of typing can lead to increased code complexity, making maintenance and collaboration difficult. To address this, Python offers Type Hints. FastAPI , a rising web development framework, also recommends using Type Hints in development. We'll explore how to effectively use Type Hints. We'll also show you how to use the mypy and pyright packages to go beyond type hinting and perform type checking before actual code execution .

4. Refactoring deep learning code using object-oriented programming and analyzing Django code.

Beyond simply sharing knowledge, we'll demonstrate how what you've learned can be applied in real-world settings. First, we'll build on what you've learned by developing a Stack based on a linked list, the most fundamental data structure. We'll also demonstrate how object-oriented programming is applied in deep learning code used in academia and web development.

What's special about my lectures!