Overcome the algorithm hurdle 'Dynamic Programming (DP)'. We explain the difference between memoized recursion and the bottom-up approach in an easy-to-understand way, using the Fibonacci sequence and the Knapsack problem as examples.
Tree and graph structures expressing complex data relationships. A thorough explanation from Depth-First Search (DFS) and Breadth-First Search (BFS) to the shortest path problem (Dijkstra's Algorithm).
Search algorithms for finding target values within data. Explains the basics of linear search and binary search, up to the principles of hash tables that enable high-speed searching.
Sorting algorithms are the foundation of programming. From bubble sort to quick sort and merge sort, we comprehensively explain them with visualizations and code.
We thoroughly explain the Big O notation, which is essential for evaluating algorithm performance, from the difference between time and space complexity to concrete examples.
We will thoroughly explain pointers, the biggest hurdle in C programming, from the concept of memory addresses to the differences between stack and heap, and dynamic memory allocation. This is a complete guide for those aiming for a deep understanding of the C language.
Deep dive into the functional programming paradigm and thoroughly explain its benefits through the concepts of pure functions, immutability, and monads.
We thoroughly explain the mathematical mechanism of the Transformer architecture, which is the foundation of Large Language Models (LLMs), advanced prompt engineering techniques, and their application to actual programming.
A complete guide covering the historical background of Object-Oriented Programming, its 3 main elements (Encapsulation, Inheritance, Polymorphism), and deep practical methods of SOLID principles.
How have programming languages evolved? A detailed explanation of the history and paradigm shifts starting from assembly language, to C, Java, and modern languages like Rust and Go.
The biggest challenge in the history of frontend development: 'state management'. A comprehensive guide diving deep into the evolution and future, from MVC to Flux, Redux, Context API, and onto Signals and fine-grained reactivity.
A comprehensive guide to CI/CD principles that accelerate the software development lifecycle, and practical know-how for building pipelines using GitHub Actions.
Going beyond mere tool usage, we thoroughly dissect the mechanisms behind containers using Linux kernel features (Namespace, cgroups, OverlayFS).
The importance of IaC for managing infrastructure as code and the benefits of the declarative approach adopted by Terraform. This article explains the mechanism of State management and best practices.
An overview of Kubernetes, the de facto standard for container orchestration. Detailed explanation from how the control plane works to the roles of various resources.
We deeply explore not only the benefits of serverless, but also the mechanisms of containers running behind the scenes, the cold start problem, and its countermeasures (such as SnapStart).
The GoF design patterns introduced in 1994. Are they still relevant in today's modern programming languages? We dive deep into modern design best practices, incorporating the impact of functional programming and new paradigms.
From the basics of memory management in programming to manual management in C, garbage collection in Java, and the ownership model in Rust, we compare and explain them at a deep level.
A deep dive into event-driven architecture and asynchronous processing—essential in modern distributed systems—from the perspectives of Event Loop, Actor model, and CQRS.
A deep dive into the history and evolution of programming paradigms, the strengths and limitations of OOP, FP, and DOP, and a thorough consideration of the 'fusion of paradigms' as the optimal solution in modern development.
