Develop productively, robustly, securely, and scalably with Python! 🔥
먼저 경험한 수강생들의 후기
5.0
정해온
It was good to re-establish the basics of Python object orientation, and I think I was able to complete the study safely because the type hinting part explained well about when it would be good to use elements in the typing module. As of now, Python has been released up to version 3.11, and while studying while reading the lecture and official documentation, I think that now, instead of importing the typing module, you can use built-in objects to express things like list[str], tuple[int], and in the case of Union and Optional types, you can use "|" like int|None. If you have time, it would be good if you could tell me more about these things. Thank you for the great lecture. :)
5.0
정호연
I think it would have been better if handling interfaces in Python had been covered with abc.
5.0
Will Bae
It's good that I've organized the parts I roughly knew before. It's also good that I learned how to type in Python. I think it was even better when I implemented it myself in the bonus lecture at the end. If the bonus lecture had been a bit more plentiful, it would have been a cost-effective lecture even if it was 3 times more expensive.
Principles of Object-Oriented Programming
Understanding Object Oriented Programming
In Python, everything is an object
How to do object-oriented programming with Python
Using Python Safely and Robustly with Typing
How to Apply Object-Oriented Programming in Deep Learning and Web Development
Write robust, secure Python code with object-oriented programming and typing.
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.
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.
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.
Object-oriented programming boasts high productivity and stability!
Learn completely with Python .
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.
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
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.
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.
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 . 
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.
학습 대상은 누구일까요?
For those who want to know what object-oriented programming is
How to do object-oriented programming correctly in Python
For those who want to use Python safely and robustly using typing
For those who are frustrated with Python's lack of types
People who know how to use loops, conditional statements, functions, and variables in Python but don't know how to use classes
Anyone who wants to apply object-oriented programming in machine learning, deep learning, data science, and web development
선수 지식, 필요할까요?
Python introductory knowledge (variables, conditional statements, loops, functions)
6,201
수강생
350
수강평
368
답변
4.8
강의 평점
4
강의_other
Hello. I will strive to provide great value through more informative and essential knowledge content.
CEO of Hypereasy Co., Ltd., an AI DT specialized development company
Development and management of financial AI models for Company M
AI Subcommittee Technical Committee Member of the Korea Information and Communication Network Association (KINA)
Former Head of DT Simulation SW Development at Company P
Former Tech Lead at a Series A startup
Former lead on numerous software engineering technical consulting projects for major corporations
Former instructor for numerous software engineering online/offline training programs (Startups, GS Retail, Samsung, etc.)
Inquiries, additional questions, writing, and lecture proposals ==> endupfree@gmail.com
전체
40개 ∙ (강의상세_런타임_시간 강의상세_런타임_분)
5. OT
03:28
21. polymorphism
03:22
22. Composition
05:53
전체
66개
4.8
66개의 수강평
수강평 73
∙
평균 평점 5.0
수강평 1
∙
평균 평점 5.0
5
It's good that I've organized the parts I roughly knew before. It's also good that I learned how to type in Python. I think it was even better when I implemented it myself in the bonus lecture at the end. If the bonus lecture had been a bit more plentiful, it would have been a cost-effective lecture even if it was 3 times more expensive.
Hello! Will Bae :) We will reflect your feedback when renewing! Thank you!
수강평 4
∙
평균 평점 5.0
5
It was good to re-establish the basics of Python object orientation, and I think I was able to complete the study safely because the type hinting part explained well about when it would be good to use elements in the typing module. As of now, Python has been released up to version 3.11, and while studying while reading the lecture and official documentation, I think that now, instead of importing the typing module, you can use built-in objects to express things like list[str], tuple[int], and in the case of Union and Optional types, you can use "|" like int|None. If you have time, it would be good if you could tell me more about these things. Thank you for the great lecture. :)
수강평 3
∙
평균 평점 5.0
수강평 38
∙
평균 평점 4.9
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