This course guides you to accurately understand essential programming concepts and theories that are often neglected in the rush of implementation. By learning similar, contrasting, and related concepts together, you will master multiple ideas at once. After completing this course, you will become a developer with a solid conceptual foundation.

Many backend developers use Redis, but in reality, they often use it merely as a simple cache server. There are many cases where developers know the Redis data types but don't know how to apply them in practice, lack experience implementing real-world patterns like distributed locks or rate limiting, or fail to understand Redis from a backend architecture perspective. I also had the experience of pondering how to utilize Redis in a high-traffic environment while developing actual services. This is because knowing simple commands is entirely different from solving service problems with Redis. This course starts with the basic concepts and data structures of Redis and progresses through learning by implementing core patterns used in actual backend services step-by-step. In particular, you will learn how to solve the following practical problems using Redis: Caching (Cache-Aside) strategies to reduce server load, Distributed Sessions (Session Store) to share login states, Distributed Locks to solve concurrency issues, Rate Limiting to prevent API overload, and Real-time Ranking Systems (Leaderboards) for large-scale users. All hands-on exercises are conducted in a real API server environment based on Python FastAPI. Rather than just learning simple CLI commands, you will understand how Redis is used in backend systems by implementing it yourself. Through this course, you will be able to utilize Redis not just as a simple cache, but as a core tool for designing backend architecture.

Python is a versatile language. You can create applications in various fields, from website development to work automation, data analysis, and artificial intelligence development. Just as foundation work is important for building a good structure, you need solid fundamentals to create good programs. This course will firmly establish Python's basic syntax and usage through theory and practice.

Have you learned C++ and Java separately but felt confused about why they were designed differently? This course compares both languages simultaneously, helping you fully understand object-oriented structure, memory, and operational principles. Beyond simple syntax, you will gain a deep understanding through hands-on practice of: ✔ Compilation structures ✔ Memory model differences ✔ Internal workings of inheritance and polymorphism ✔ Virtual tables and JVM architecture Additionally, we provide a 'Python-based code comparison auto-generator tool' to help you visually understand the conversion structure between C++ and Java. We will elevate your skills from simply "using" object-oriented programming to a level where you can "design and explain" it.

Through the 25 patterns of OODP, you will learn various ways to design software in an object-oriented manner.

Python is a versatile language. You can create applications in various fields, from website development to work automation, data analysis, and artificial intelligence development. Just as foundation work is important for building a good structure, you need solid fundamentals to create good programs. This course will firmly establish Python's basic syntax and usage through theory and practice.

You can easily and enjoyably understand Python programming with games. This is a lecture that even children in elementary and middle school can follow, so parents and teachers will find many places to use it if they learn it. :)

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

To become a good developer, you need to know how to write flexible code. Learn how to use object orientation to create flexible code that is easy to change.

Learn various design principles needed to write object-oriented code, focusing on working code.

Through training in thinking, expressing, and coding, you can easily understand and approach Java programming. You can understand the relationship between programming elements and gain confidence in future Java API utilization and projects through precise concept organization of object-oriented programming.

You can learn the basics of React. You can organize HTML, JavaScript, DOM, Event, Object, Module, OOP, etc. related to React.

These days, it's become so famous that you can't afford not to know about it - Nano Banana? Gemini 3.0? In this course, you can learn to handle everything with the Gemini API.

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.

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.

In this course, you will learn Kotlin syntax, how to safely convert Java projects to Kotlin, and how to code in a Kotlin-like manner. Learn Kotlin based on practical code and use it yourself to enjoy its advantages.

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

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.

Pass the Information Processing Engineer practical exam in one go! We provide only the essentials, focusing on code and theory. Master past exam questions perfectly! Open the door to passing with our systematic lectures. 🏆 2024 Inflearn Rookie Award 🏆 2025 Students' Pick Award Winner

This is a Python coding test lecture centered on problem solving, tailored to those who are new to coding tests.

This course will help you quickly learn the core concepts of Python and the Pandas library. Improve your programming skills by solving the practice problems at the end of each part!

Document writing is the most challenging part for both aspiring and current developers! Create your own portfolio by looking at how successful candidates write their documents! We speak based only on documents that actually passed!

Learn how to use various libraries and acquire the theory and knowledge necessary to create related applications through Python, the easiest programming language to learn and the most widely used in a variety of fields.