Practice! Introduction to FastAPI

Delving into Django's core concepts and key features in detail, from API development methods using DRF to deployment leveraging AWS, this covers everything about Django web development.

Learn practical strategies for designing efficient and scalable database structures that accurately reflect the complex requirements of real-world scenarios.

Learn the backend development essential for practical use using Django!

Everything about Python asynchronous programming using FastAPI

This is a Redis course that you can learn and use right away!

Learn the backend development essential for practical use using Django!

This course offers an easy and fast way to learn FastAPI, the latest full-stack and backend framework, along with cleanly organized materials and projects that cover backend concepts, core FastAPI syntax, and asynchronous database utilization in an easy, step-by-step manner.

The Channels library is a real-time messaging library developed under the philosophy of Django. Quickly learn the essence of Channels through this lecture.

A lecture for those who know nothing about real coding + those who want to learn the basics of proper programming! Learn about various aspects such as programming basics and the developer's mindset!

Using the ChatGPT API, develop a full-stack multilingual translator web application in just 30 minutes, and even if you know nothing about AI, try incorporating the latest AI (ChatGPT API) into your product!

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

In this course, you will practice step-by-step using React and FastAPI to implement social features like real-time voting, comments, and likes, as well as integrating payment systems (KakaoPay, TossPay, etc.) for monetization.

You will learn how to develop data/machine learning web applications through 5 practical projects. You can easily and quickly build and deploy web applications with Python and Streamlit. (Updated in June 2025)

No more waiting on the dev team, I'll build it myself! This course helps practical staff (e.g., in planning, marketing, sales) to directly implement core web service functions using AI tools, without developer assistance.

Solidify your foundation in Python/Django web service development. Learning Django takes time, but you can maximize your productivity through iterative development. Turn your imagination into reality.

Hackathon and Project Introduction, Now Start with Arduino, Python, and Flask. Let's build a framework for hackathons and projects by creating cool projects together.

This is not a boring introduction to Widgets. This is a hands-on project lecture where I will copy the login screen and main screen of the program I am selling.

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

If you're just learning Python and don't know what you can do or what you should do? Let's learn how to use web technologies with Python, such as web crawling, automation, and APIs.

Digital marketing that makes money, such as Naver Shopping and Coupang Partners, requires consistency, but you can approach it easily and effectively with scientific analysis and automation. We will teach you the key secrets of creating a program that collects and analyzes popular products, keywords, blogs, and shopping information.

Stop using print()! Learn easy and powerful logging with Python's loguru library. From basic concepts to file management, FastAPI web app integration and Slack notifications, we'll teach you step by step with hands-on practice.

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

This is a practical project course on running Whisper locally and quickly developing an AI speech recognition app using FastAPI and Next.js. You'll implement real-time speech recognition and complete a project that can be used as a simple portfolio piece in a short amount of time.

You don't need to know any coding at all. In just half a day of studying VIBE Coding, you'll be able to create programs without writing any code. Let's learn the latest AI coding methods by directly creating 10 step-by-step examples such as web scraping, TTS, chatbots, and games.

This course proceeds with Python theory and practical sessions that even non-majors can easily understand. This is the first step in the overall roadmap built for application development - the Python programming introduction course. [Complete-Roadmap] Python Basics->Advanced Python->Automated Trading-Backtest Development->Automated Trading-Real-time Development->Automated Trading-LLM Application