[Rookiss] Introduction to Python (Interactive Textbook)

Conversation loops, tool calling, permissions, prompt assembly — learn the core principles of Claude Code by visualizing them through 3D interactive materials. Translate the structure you understood from the materials directly into code to complete your very own 'Mini Claude Code (Harness)'.

This is an introductory course where you learn the core concepts of Claude Code through a 3D office analogy. From hiring a single robot in an empty office, giving it a brain and a heart, equipping it with tools, permissions, and memory, to eventually having multiple robots work together as a team—each concept unfolds as an office scene. You will master every concept by interacting with the digital course materials and complete your learning through hands-on practice on your own computer.

Work automation has always been the domain of developers, but with Cowork, you can create your own office-specialized workflows just by making requests in Korean within a chat window, without any coding knowledge. In this course, we will cover from scratch how to maximize office work efficiency through no-code automation.

It covers the direction of employment, studies, and entrepreneurship in the era of AI.

In just one year, an AI-driven cataclysm has occurred. Is it over for game programmers forever? Let's predict the future direction of the industry and establish a tailored strategy.

This is a course that covers the entire process of working with the Unreal Engine based on C++, in a shallow and quick way.

This is a lecture practicing Unity development by creating a game similar to Supersense's hit, Burger Please.

This course teaches the essential CS knowledge required for web development using AI. If you don't understand the principles of servers, databases, and deployment, "Vibe Coding" will inevitably hit a wall at some point. Through interactive textbooks, you will quickly learn essential concepts, enabling anyone to complete a web project using Vibe Coding.

This is an all-in-one curriculum for game programming beginners who are unsure of where to start. It is a comprehensive curriculum that covers the basics of game programming, including C++, data structures/algorithms, STL, game mathematics, Windows API, and an introduction to game servers.

Learn the basic C++ syntax for smooth learning of the series. We will cover essential content from assembly language to basic C++ syntax, STL, and C++11 in a compressed manner.

Beyond the first wave of AI, the era of Physical AI, represented by autonomous driving and robotics, is arriving. To prepare for a future where AI permeates transportation, delivery, manufacturing, and service sectors, we will understand the changing job market and establish specific learning strategies and career directions for survival.

This contains everything you need to know for Unity engine-based game development in 2026! AI will likely handle the coding anyway, but you still need to know the essentials to give proper instructions! It covers more detailed content than the previous series on building with C# and Unity. This content is a refined version of what was covered in the previous [Game Development Challenge].

This is a course where you will learn about how to use the Unity engine and the features it provides, and learn methods to manage it efficiently.

This lecture covers the reality of being a game designer, which many people misunderstand, and the direction for the future.

This is a class where you can create a simple TPS game using blueprints and naturally learn various functions provided by the Unreal Engine.

In the era of agents, true skill comes from 'control.' You will perfectly master the operating principles of agents by building the core architectures of Claude Code—Agent, Tool, MCP, Skill, and AgentTeam—from scratch.

This is a lecture where you will become familiar with Unity engine application methods by analyzing the 2D clicker sample game "Ant Inc."

A course for absolute beginners. This course teaches Blueprint, Unreal Engine's visual scripting, for programmer-level familiarity.

This is a lecture that naturally learns data structures and algorithms while studying [pathfinding], which is essential for RPG games.

This is a basic C# programming course for those who do not have basic programming knowledge. It is not a class that focuses on memorizing grammar, but rather summarizes only the most necessary parts.

Learn Python from scratch by fully utilizing ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly experiencing coding and developing problem-solving skills through example problems and practical exercises. After mastering Python's basic syntax, you can build your skills by solving various problems in Level 1 and Level 2. Furthermore, you can identify and supplement your weaknesses through an Exam structured like a real test. By regularly solving problems and utilizing ChatGPT, students can have a memorable learning experience without feeling bored.

This is an introductory course designed by SuCoding, an IT author and coding creator, using a stable learning method that ensures even non-majors can complete it without frustration. We have boldly removed complex theories and selected only the essential syntax to deliver a practice-oriented experience. Even if you are starting to code for the first time, by following the lecture to the end, you will be able to create your own programs using Python.

Solve coding test problems using Python.

“There are many ways to solve problems, but why do we feel lost during interviews?” This lecture offers coding interview survival strategies directly from a current engineer working in Silicon Valley. Focusing on problems frequently encountered in real interviews, we'll guide you not just through simple solutions, but also how to articulate your thought process and how you'll be perceived from the interviewer's perspective. Designed for mid-level developers and above, the curriculum is optimized for real-world interviews. If you are preparing for coding tests and technical interviews, gain practical skills and confidence through this lecture.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

A Complete End-to-End Developer Journey — Build Lightning-Fast APIs, Modern Frontend Interfaces, Real Projects, Authentication Systems, Dashboards & Full Deployments Using FastAPI, React, and Vibe Coding Techniques.

Learn NoSQL technology for handling big data, one of the fundamental skills in full-stack and data science technologies used by modern startups. MongoDB is the easiest and fastest NoSQL technology to utilize. In this course, you will learn the basics of MongoDB in a short time and master the skills to handle and utilize MongoDB with Python.

QML is a programming interpreter language for creating UIs provided by Qt. It is similar to JSON and can use JavaScript. Using QML and Python together, you can easily develop modern, advanced UIs.

When learning Swift, the iOS programming language, it can be confusing when multiple concepts appear all at once. That's why I created this course with the principle that "when understanding a new concept, only previously learned concepts should be used." So this course is meticulously designed with a sequential structure between concepts, where only one new concept appears at each stage, and no other unfamiliar concepts appear at all. One concept per minute, 180 concepts total. From the basics of variables and constants to understanding memory structure from a CS perspective, and even the latest syntax for asynchronous processing. In 3 hours, you'll learn 180 core concepts in the designed order.

Agent concepts and practice all at once?! A seamless, integrated course completed with OpenClaw. (Mac recommended)

This is an introductory Java course designed so that even those starting programming for the first time can follow along. You will systematically learn everything from JDK 21 environment configuration to variables, data types, control flow statements, arrays, strings, and the core concepts of Object-Oriented Programming (OOP) such as classes, inheritance, polymorphism, and exception handling. Rather than simply listing syntax, we explain "why it works this way" to help you build a solid foundation.

By simply entering a US company ticker, this system automatically collects financial accounting data, competitor analysis, recent news, and stock price information to generate professional investment reports through in-depth analysis using the OpenAI GPT API. The final results are automatically uploaded to Notion. By learning the basic concepts and terminology of financial accounting, even engineers can utilize this for competitor benchmarking, persuading supervisors, and planning new solutions. You will build a high-performance API server using Python and FastAPI, learning asynchronous programming, AI integration, and practical fintech skills. We support beginners so they can easily follow along, complete a system applicable to real-world investment and business, and grow into developers tailored for the AI era.

When you study machine learning, you learn how to improve accuracy. But the moment you try to deploy that model onto an actual chip, you are left with questions no one ever taught you to ask: How many multiplications does this model require? What does it need to remember, and how much? Can the target chip specifications handle these demands? Machine learning textbooks focus on accuracy, while semiconductor textbooks focus on circuits, yet resources bridging the two are scarce. I repeatedly encountered this gap while implementing RISC-V CPUs and NPUs on FPGAs—facing situations where the model with the highest accuracy simply wouldn't fit on the board. In this course, you will build six algorithms from scratch in Python, measuring the number of multiplications, comparisons, memory usage, and accuracy for each. You will then translate these metrics into actual FPGA board resources. While knowing the number of multiplications alone doesn't give you a sense of scale, expressing it as a percentage of the board's resources makes it easy to assess. After completing nine labs and compiling the six models into a single table, an unexpected picture emerges. We spent nine sessions counting multiplications, only to find that multiplications weren't the actual bottleneck. From there, we move on to quantizing floating-point numbers to integers, managing bit widths, and even establishing criteria for grading circuits. An FPGA board is not required. The course can be completed using Python alone, with the board serving merely as a reference for translating the measured metrics.

A course chosen by 3,000 students! Updated to GPT-5 version! How far can you go with ChatGPT? Create automated stock trading applications and web investment reports!

For those who want to learn data science, big data, and web crawling, (1) we summarize the most essential Python syntax in a short time, and (2) you'll become familiar with Python and crawling through practical crawling programming.

Building a Full-Stack System Without Coding: Complete the entire pipeline from data collection to AI/ML analysis and web dashboards using only Korean prompts (Vibe Coding). Owning a 100% Automated Pipeline: Secure an independent stock analysis tool that sends S&P 500 screening and investment opinions via Telegram every morning. Acquiring a Practical Data-Based Investment Framework: Master institutional-level data analysis and risk management capabilities based on source code currently in actual operation.

You will learn techniques that can be applied in various fields of IT security, starting from the introduction to Python programming.

After using it for 14 days starting immediately upon release, here are the reasons why I recommend Claude Code (AI Coding) to everyone—from job seekers to industry professionals—as something they can apply right away.

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python.

This is a process for completing IoT products without complex coding, using the Vibe Coding methodology powered by AI agents. You can experience the entire product development cycle in a condensed format—from embedded hardware control and AI vision recognition to PCB design, 3D printing, and web/app service development—allowing you to launch functional, commercial-grade IoT devices.