Design Patterns for Python

🚀 Take Your Code From 'Working' to 'Working': A Masterclass in Python Design Patterns

"The code works fine... but what exactly is 'good code'?"

"How do other developers write code so cleanly and flexibly?"

This is a question that any developer who has just learned the basics of Python and wants to move on to the next step has probably thought about at least once. One of the most reliable answers to this question is in design patterns .

Design patterns are 'design blueprints' that summarize the most elegant and efficient methods for solving repetitive problems that countless developers have encountered for decades. Beyond simple coding skills, you learn the 'framework' of thinking for creating good software.

But, just hearing the name design pattern, does it sound difficult and stiff?

This course was created for those people.

🤔 What’s different about this course?

1. Kind explanation for beginners This is not a lecture that just lists abstract theories. It explains, step by step, "Why this pattern is necessary" and "In what situations is it effective" through realistic examples such as game character creation, data processing pipeline, and GUI widgets. Instead of complex diagrams, you can immediately check the concept with intuitive Python code.

2. How to use 'Pythonic' patterns 🐍 No more stiff pattern explanations in Java or C++ style! This lecture focuses on how to implement each design pattern concisely and beautifully by fully utilizing Python's dynamic characteristics and powerful functions (first-class functions, decorators, context managers, etc.). You will experience how complicated patterns in other languages become simple in Python, and you will truly acquire the 'Pythonic Way'.

3. Curriculum directly related to practice In addition to the 23 classic patterns suggested by GoF (Gang of Four), it also contains Python-specific patterns and idioms that are frequently used in practice but are not well explained in books. Even junior developers who are just starting out in practice or those who want to make a great side project can acquire practical knowledge that can be used right away.

🙋‍♂ I highly recommend this to these people!

• People who know the basics of Python grammar but are unsure of how to structure their code

• Junior developers who want to refactor their own spaghetti-like code.

• Anyone who wants to properly demonstrate their software design capabilities in a technical interview

• Anyone who wants to easily understand and contribute to other people's code in open source or team projects

• Anyone who wants to grow beyond being a simple coder to becoming a software architect

🎓 If you complete this course, you will!

• You can confidently explain and utilize the core patterns of GoF in your code .

• You can think of the optimal design for the problem by saying, "This pattern for this situation!"

• You will learn first-hand what 'clean code' is, which is easy to maintain and extend .

• You'll have a common language that allows you to communicate seamlessly with other developers about your designs .

• You will become a developer who writes not just ‘code that works’ but ‘code you can be proud of.’

Take your development skills to the next level with this course that will serve as a solid compass in the vast ocean of software design!

I recommend this to these people

After class

• Learn proven solutions to recurring software design problems.

• Develop the ability to select and apply the optimal design pattern for a given situation.

• Learn how to write 'clean code' that is easy to maintain and extend.

• You will gain a deep understanding of Object-Oriented Design Principles (OOP) .

• Master Python-like coding style, including decorators and context managers.

  
  

Learn about these things.

I am Haeyeo , exploring the infinite possibilities of AI and computer engineering, and would like to share that journey with you.

During my undergraduate years, I was called a 'computer engineering addict' because of my passion for my major, and I graduated at the top of my class with a GPA of 4.4 or higher. I majored in AI at S Graduate School and received a master's degree, and deepened my expertise through a doctoral program.

However, as much as I was fascinated by theoretical exploration, I was also fascinated by solving real-world problems with AI and backend development, so I put my PhD on hold to gain valuable practical experience by working on an AI-based LLM and video analytics project at a startup.

Currently, I am working as an LLM project developer and PM at one of the top 3 domestic companies, contributing to the positive changes that AI technology will bring to our lives. I will share with you the concerns I have experienced, the process of solving them, and the vivid know-how I have gained from the field.

We will be your reliable guide on your journey into the exciting world of development.

Things to note before taking the class