Sorting Algorithms for Real-World Practice

The core of software development ultimately lies in 'how quickly data can be found and processed.' Among numerous algorithms, the Hash Table is an essential tool that forms the foundation of modern programming languages and system architectures. This lecture goes beyond simple theoretical explanations to cover how students can 'immediately' resolve specific performance bottlenecks encountered in practice using hash tables.

Through this course, you can systematically learn core concepts such as basic search algorithms, graph search algorithms, tree search algorithms, advanced search techniques, performance optimization, and considerations.

Through this course, you can systematically learn core concepts such as understanding Docker Context, context management commands, practical application scenarios, advanced techniques, troubleshooting, and precautions.

Through this lecture, you can systematically learn core concepts such as the basic concepts and characteristics of queues, fields of application, problem-solving strategies, practical example code (Python), and advanced queue utilization techniques.

Through this lecture, you can systematically learn core concepts such as the basic principles and implementation of stacks, stack applications: function calls (Call Stack), stack applications: expression evaluation, stack applications: parenthesis matching, and stack applications: implementing Undo/Redo functions.

Through this course, you can systematically learn core concepts such as basic concepts and implementation, insertion operations, deletion operations, search and utilization, and practical examples and applications.

Through this lecture, you can systematically learn core concepts such as an overview of readv/writev, understanding struct iovec, utilizing readv, utilizing writev, and performance considerations.

Through this course, you can systematically learn core concepts such as creating and utilizing Worktrees, integration and change management with Worktrees, advanced Worktree usage, troubleshooting and precautions, and comparisons with other methods (Feature Branching).

Through this lecture, you can systematically learn core concepts such as Bisect start and end conditions, understanding the Bisect process, Bisect application scenarios, Bisect options and advanced usage, and precautions for troubleshooting.

Through this lecture, you can systematically learn core concepts such as an overview of the Git blame command, file history viewing options, checking and utilizing commit information, GUI tool integration (optional), and troubleshooting and tips.

Through this lecture, you can systematically learn core concepts such as what reflog is, how to check the reflog, recovery using reflog, the expiration period of reflog, and important precautions and tips.

Through this course, you can systematically learn core concepts such as an overview of Docker Events, practical use case 1: monitoring and alerts, practical use case 2: CI/CD pipeline automation, practical use case 3: security and auditing, and Docker Events filtering.

Through this course, you can systematically learn core concepts such as starting and stopping Swarm mode, defining and deploying services (using Docker Compose files), network configuration, volume management, and security considerations.

Through this course, you can systematically learn core concepts such as basic tree concepts and data structures, search algorithms, tree application algorithms, advanced tree structures and applications, and practical problem-solving strategies.

Through this course, you can systematically learn core concepts such as understanding basic Dockerfile commands, Dockerfile optimization techniques, practical examples and patterns, advanced topics, and troubleshooting and debugging.

Through this course, you can systematically learn core concepts such as basic Docker Compose concepts, the structure of the docker-compose.yml file, frequently used options, examples of multi-container application configurations, and how to utilize Docker Compose commands.

Through this lecture, you can systematically learn core concepts such as the types and characteristics of volumes, commands for creating and managing volumes, methods for connecting containers and volumes, strategies for ensuring data persistence, and precautions when using volumes.

Through this course, you can systematically learn core concepts such as Docker network basics, communication methods between containers, network configuration using Docker Compose, volume mounting and network sharing, and network settings using Dockerfiles.

Through this course, you can systematically learn core concepts such as the basic principles and necessity of Rebase, Rebase with remote branches, conflict resolution, advanced Rebase techniques, and application strategies for various Rebase scenarios.

Through this lecture, you can systematically learn core concepts such as an overview of Git Cherry Pick, basic Cherry Pick commands, resolving Cherry Pick conflicts, advanced Cherry Pick usage, and precautions when using Cherry Pick.

Through this course, you can systematically learn core concepts such as basic tree concepts and data structures, search algorithms, tree application algorithms, advanced tree structures and applications, and practical problem-solving strategies.

The core of software development ultimately lies in 'how quickly data can be found and processed.' Among numerous algorithms, the Hash Table is an essential tool that forms the foundation of modern programming languages and system architectures. This lecture goes beyond simple theoretical explanations to cover how students can 'immediately' resolve specific performance bottlenecks encountered in practice using hash tables.

✅ 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

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.

This course is for job seekers and career-changing backend developers preparing for coding tests with JAVA. We clearly identify question types by analyzing 195 actual past exam questions.

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

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.

This is a game development & algorithm course that focuses on the algorithms and principles of 2D game development from the ground up using Windows API and C++.

Are you a non-major who doesn't know how to start learning C language? Did you learn C language as a major in school, but still can't write code? What's the point of studying C language for a long time? When you can't even create a single line of code properly... I'll pass on the know-how so you can program yourself. In this course, together with an experienced senior developer, you'll gradually learn C language grammar and application methods, and I'll guide you to a level where you can work on simple projects.

Slowly study the C language, which includes the basics of program development that developers need to know.

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.

Even if you know nothing about coding, you can create your own scheduling app in just 4 weeks. Simply tell the AI, "Make an app like this," and paste the code you receive into Swift Playgrounds. Over 12 sessions—3 times a week, 30 minutes a day—you will complete a real app featuring adding/deleting/editing schedules, categories and notifications, filters and search, and even a calendar view. Don't worry if you run into errors; just ask the AI, and it will fix them for you. Start the challenge now to learn how to collaborate with AI, rather than just studying coding!