Python Web Development (using Flask, SQLAlchemy)

React is the most popular modern front-end framework, but it is difficult to learn. To solve this problem, Hook was introduced. This lecture will help you learn React easily using Hook.

There are so many benefits to developing Spring Boot with Kotlin. I think it would be good to learn about them through this lecture.

This is a SQL lecture designed to help marketers learn SQL easily. We introduce the essential SQL grammar and analyze real data obtained from Kaggle.

This lecture introduces and solves the Qualification Round 1st problem of Google Codejam, a Google algorithm competition.

Tensorflow uses a complex graph structure even for simple arithmetic. Why? Because Tensorflow needs derivatives when performing Gradient Descent. Graph structure is a means to easily derive those derivatives. I've mathematically explained why.

This is a friendly explanation of things that beginners of Spring Boot and Kotlin will encounter while developing web from a beginner's perspective.

CUDA is a GPU programming language. It is a language that was created by modifying C and C++, so anyone who is a C or C++ developer can easily approach it. However, you must understand the characteristics of GPU machines and CUDA programming. This course understands GPU machines and writes CUDA to execute matrix multiplication, which is the basic operation of deep learning. Through this course, you will be able to handle GPU programming skillfully.

This course explains reinforcement learning without math. You can learn the concepts easily and clearly. In addition, you can implement and run an actual tic-tac-toe game by coding RLkit, which is written in Python, the most accessible language.

In this lecture, we will talk about the Flask framework. After looking at the web page prerequisites and Flask, we will create a file upload server that uploads, downloads, and deletes files, and a to-do note page that manages tasks using a Mongo database.

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

We will develop a web app that collects data using concurrent/parallel programming in Python, loads it into MongoDB, analyzes it, and visualizes the collected data using FastAPI, a modern web framework. In the process, you will learn and understand Python concurrent/parallel programming using coroutines, multi-threading, and multi-processing, and understand how to use them to improve Python's performance. We will help you apply Python concurrent/parallel codes directly to your work. We will not only teach you how to develop and end, but also how to deploy and operate an actual app on the AWS cloud.

You can learn the skills and know-how needed to improve work efficiency by utilizing Open API and Python.

Don't just remain a ChatGPT user; transform into a GPT service developer with Django/Channels. Quickly grasp the core of Django/Channels with this lecture!

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.

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

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.

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.

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)

Stop worrying about the dev team - I'll build it myself now! This course helps professionals in planning, marketing, sales, and other practical roles implement core web service features on their own using AI tools, without needing developer assistance.

Learn Everything About Python from a Silicon Valley Software Engineer. Currently, as a 15-year veteran software developer, I handle everything from web applications, big data, and even SRE & DevOps, all with Python. From the basics of Python to advanced techniques, don't miss this opportunity to learn all the skills and know-how for using Python in real-world Silicon Valley practice!

Based on real-world experience developing web services in the field, this is a full-stack series course aimed at helping beginners develop web and app services at a level suitable for actual commercialization. As the first step (part1-1) toward this goal, this course provides detailed explanations of intermediate Python, backend implementation techniques using Flask, and essential web technologies (HTTP, REST API, MVC pattern, etc.) for full-scale development.

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!

The goal is to master the complex GPT API and Python in the easiest way possible through hands-on practice. You will develop a YouTube video summarization AI using the latest ChatGPT API and implement it as a web application using Streamlit.

🔥 Vibe Coding with Streamlit 🔥 Real-time coding experience where you can instantly create your own web service with just one line of code! Visual-focused, hands-on lectures tailored to MZ sensibilities - no complex backend knowledge required. Learn the basics of Streamlit and awaken your development instincts by directly implementing practical apps. Complete your own "personal service" with code in a vibe way right now 😎💻

This course is a practical, hands-on guide to automating repetitive tasks and maximizing work productivity using ChatGPT and Python. You will learn step-by-step how to use AI to automate daily repetitive tasks such as Excel work, report writing, sending emails, and data organization. Starting as a non-developer myself, I have taught AI automation to thousands of students, and I have compiled only the methods that can be used immediately in actual business environments. This course focuses not on complex theories, but on **"automation techniques you can use right today."** 👉 The goal is to turn ChatGPT into more than just a tool, but into **your own personal work assistant (Jarvis)**.

This course will teach you how to create an IMAX movie ticket opening notification at CGV Yongsan I-Park Mall using Python web crawling, Telegram bot, and AWS EC2. Through this course, you can learn everything from a basic understanding of web crawling to creating a Telegram bot and setting it up as a server!

This course is designed for developers, AI enthusiasts, and professionals who want to develop real-world AI applications using LangChain, OpenAI, Hugging Face, and Python. Rather than focusing solely on theory, this course takes a practical, project-oriented approach. Throughout the course, students will directly build a total of 15 high-quality AI applications, including chatbots, CSV analysis tools, resume screening systems, invoice extraction bots, support assistants, marketing tools, and text-to-SQL applications. I created this course to make complex AI concepts easy to understand and to ensure modern LLM development is accessible to everyone. Many learners struggle to understand how tools like LangChain, embeddings, memory systems, vector databases, and AI agents interact in real-world applications. This course guides you step-by-step through clear explanations, hands-on coding sessions, and actual implementation workflows. By the end of the course, students will confidently understand how to design, build, and deploy AI-powered applications using the latest generative AI technologies.

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.