[Python] The DFS Algorithm Even Liberal Arts Students Can Understand! – Beginner’s Edition

This is a beginner-level DFS course that explains exactly how a working developer with a liberal arts background studied to land a job :) I’ve kept the boring theory to a minimum and prepared a course where you learn by solving problems yourself! After taking this course, you’ll be able to solve Silver-level DFS problems on Baekjoon on your own.

Python Algorithm Know-how Revealed! When you want to master Python programming but find it difficult to understand! No more giving up on programming every time!! Understand Python programming algorithm concepts through practical examples from a professional instructor and become an expert!

You will systematically learn the core syntax of Python, covering everything step-by-step from the fundamentals that every beginner must know to object-oriented programming and exception handling.

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.

Do you want to master the Python language? This course is designed to help even those with no coding experience learn Python easily through fun examples. In addition, the extensive coding exercises will greatly help improve your coding skills.

Learn the principles of Diablo 1-style PCG dungeon generation by implementing its structure in the console, with the theme 'Technology Supporting Game Development in the AI Era'. Expand this to 3D in Unity to complete a generation pipeline equipped with seed-based dungeon generation, mesh placement rules, and debug tooling. Through sample code and hands-on practice, connect to AI-assisted art production workflows, enabling you to create immediately applicable dungeon crawler prototypes.

You can understand the theoretical operating principles of the Kalman filter through easy examples.

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.

Learn NoSQL technology for handling big data, one of the fundamental technologies used in the full-stack and data science fields at modern startups. MongoDB is one of the easiest NoSQL technologies to learn and use quickly. In this course, you will learn the basics of MongoDB in a short time, as well as how to work with and utilize MongoDB using Python.

This is an online lecture that systematically organizes pathfinding and spatial partitioning algorithms used in game production.

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

Automate repetitive Excel, Word, Outlook, and PowerPoint tasks using Python. You will implement projects based on real-world business scenarios and learn how to design and create your own office automation system, going beyond simply learning basic functions.

Learn network programming from scratch, fully utilizing Python and ChatGPT. Rather than tedious conceptual explanations, the focus is on students directly writing network code through practical exercises and personally verifying how their written programs operate. You can acquire skills ranging from basic network practicals to network technologies applicable in real-world scenarios, and build deep understanding and proficiency through exercises dealing with various protocols and tools. Furthermore, by leveraging ChatGPT, students can have a memorable learning experience without feeling difficulty or boredom.

For learners who find coding terminology and problem-solving daunting, I provide easy-to-understand guidance centered on analogies and hands-on practice, drawing on real-world experience.

✅ Out of the entire series (1) ~ (7), (4) data structure, algorithm, object-oriented, programming language ✅ CS101 series lectures - From basic computer theory to the latest practical examples - Provides a wide range of basic knowledge

During our school days, the 'click' sound we heard in the computer lab... that was Minesweeper. In this course, we'll recreate those memories by implementing it with Python. Whether you're a beginner or even someone encountering Python for the first time, by following along line by line, you'll find that your very own Minesweeper game has been completed before you know it.

1. A practice-oriented lecture designed to help you pass the AICE Associate, Korea's only nationally recognized AI certification. 2. Learn to the level of performing data analysis and AI modeling based on Python.

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

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by working through the exercises after each section!

The Code Puzzle Clear Challenge is a 4-week intensive training course based on "Learn to Code 1" in Swift Playgrounds, designed to develop "computational thinking" by giving commands to make a computer move as intended. By solving puzzle missions in each session, participants naturally learn to break down problems into smaller steps (decomposition), recognize patterns to organize repetitive rules using for-loops or functions, and make logical judgments to change actions based on specific situations. Beyond simply finding the right answer, participants reach a level where they can explain and refine "why they solved it this way."