Basic Algorithm Coding Test 40-Day Completion (by Haru Coding)

For IT company coding test preparation, This is a [Data Structures & Algorithms Core Theory & Related Practical Problem Solving Lecture]. - JAVA Edition -

A course on Data Structures & Algorithms core theory & practical problem-solving, for IT company coding test prep. (C++)

Master Algorithm Problem Solving with 100 Essential Silver Level Problems from Baekjoon Online Judge

Algorithm Skill Enhancement Pattern Learning with Baekjoon Bronze 1·2 Difficulty Problems

Baekjoon Bronze 4·5 Difficulty Algorithm Beginner Roadmap Starting with 3-4 Problems Daily

This is a lecture on [Data Structure and Algorithm Core Theory & Related Practical Problem Solving] for IT company coding test preparation. - Python version -

Baekjoon Bronze 4·5 Difficulty Algorithm Beginner Roadmap Starting with 3-4 Problems Daily

Algorithm Skill Enhancement Pattern Learning with Baekjoon Bronze 1·2 Difficulty Problems

Build your coding skills by implementing data structures in Java from the ground up.

An era where just learning the basics isn't enough to survive. Dig deep and master Java once and for all!

You will learn Java's concurrency mechanisms and multithreading techniques in depth and acquire the knowledge and skills necessary to solve various parallel processing problems that you may encounter in practice. Starting from basic thread management, you will learn advanced synchronization techniques, how to use thread pools, and Java's concurrency-related classes in depth.

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.

A lecture consisting of special lectures by professors from Canadian national universities. It covers Python, Code, Scratch programming introduction/basics and practical applications. After completing the lecture, receive a global certificate from Codesprint : )

This course is for those preparing for the CosPro Level 1 exam, covering the COS Pro Level 1 sample problems released by the exam organizer, YBM Net Co., Ltd.

Through this course, you can learn how to run Java applications more efficiently and effectively solve performance issues that may arise.

Refactoring is one of the basic skills that a software engineer should have. This course is designed to explain and practice various code smells and refactoring techniques in a more practical way using IntelliJ and Java.

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.

Currently, Android can be developed using the Java and Kotlin languages. The same Android application can be developed using either language. This course covers most of the content from basic to advanced Android application development, and all code is written using the Kotlin language starting from the basic content. We also use Material 3, Google's latest UI library. This course mainly covers menus, Android application components, threads, and Fragments among the entire Android curriculum, and future courses are planned to cover more in-depth topics. Soft Campus will always strive to provide the latest lectures. Thank you.

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

You can understand the theoretical operation principle of the Kalman Filter through easy examples.

IntelliJ IDEA Conf 2025 is an annual online conference hosted by JetBrains that provides valuable sessions for Java and Kotlin developers. It covers various topics including AI adoption, Spring Boot, Gradle, Kafka, database management, and also shares insights on cloud integration, secure coding, developer performance improvement, and advanced development techniques. This conference is open to both professional and beginner developers, offering opportunities to explore the latest technologies along with productivity tips for writing high-quality code faster.

Anyone can easily create a Python game using the Pygame library, starting from zero base.

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

👨‍🍳 Like cooking code, neatly and deliciously! 『Clean Coding』 is a code cooking class for chef-like developers, where they joyfully learn clean coding through a cooking analogy. 🍽️

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