- Understand the principles of and implement common coding test data structures (Stack, Queue, Hash, Tree, etc.). - Apply core algorithms (DFS/BFS, Shortest Path, Backtracking) appropriately to problem scenarios. - Write efficient code considering time complexity using Python.
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Hello! I am a software developer with over 10 years of experience. Currently, I serve as a Naver Cafe manager overseeing more than 860 members, and I enjoy communicating by sharing various stories and information.
I love giving programming lectures. I believe that not only do I learn new things through teaching, but it is also incredibly meaningful to share my knowledge while communicating with people from various other fields.
I have currently completed writing "Becoming a Coding Test Qualifier - Python Edition" and am in the process of writing the C++ edition.
The programming languages I am proficient in are C, C++, and Python.
Additionally, I am currently writing a book on coding tests using Python. Through this book, I am striving to help people of all levels, from beginners to experts, learn Python-based coding tests more easily.
Author: https://www.kyobobook.co.kr/service/profile/information?chrcCode=1112299903
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Stop struggling with coding tests all by yourself!
We invite everyone, from non-majors to computer science majors, to the best free Python coding test lecture where anyone can easily understand and develop practical skills.
In the world of coding tests, Python is a language that stands out. Thanks to its concise and intuitive syntax, you can write code much shorter and faster than in C++ or Java, even for the same logic.
This becomes a powerful weapon in a coding test environment where you must implement accurate code within a limited time. Furthermore, Python provides a rich set of powerful and efficient built-in data structures, such as lists and dictionaries, helping you solve complex algorithmic problems with relative ease.
In this lecture, we will utilize these advantages of Python to the fullest (200%), guiding you to focus more on the essence of the problems and invest your time in developing solution strategies.
This free lecture systematically covers everything you need to pass coding tests. First, we delve deep into the principles of core data structures (arrays, linked lists, stacks, queues, hash tables, trees, heaps, graphs) that form the foundation of coding tests. Rather than simply memorizing concepts, you will gain a clear understanding of when and why each data structure is used through practical examples. Next, we will conquer major algorithms (brute force, greedy, DFS/BFS, dynamic programming, etc.).
* Lectures are updated weekly
Those preparing for coding tests for the first time with the goal of getting a job at an IT company: For those who felt overwhelmed and didn't know where or how to start, we present the most efficient and proven learning roadmap.
Non-majors dreaming of becoming a developer: We break down conceptual barriers by minimizing difficult computer science terminology and providing easy explanations and analogies that anyone can understand.
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1월
4일
챌린지 시작일
2026년 1월 4일 PM 03:00
챌린지 종료일
2026년 2월 9일 PM 02:30
All
50 lectures
Course Materials:
Basic concepts of data structures and algorithms frequently appearing in coding tests
How to identify the requirements in coding test problems
Who is this course right for?
Those who are preparing for a coding test
Those who wish to learn the basics of data structures and algorithms
Need to know before starting?
Basic knowledge of Python syntax
All
4 reviews
4.0
4 reviews
Reviews 1
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Average Rating 5.0
5
I had always avoided coding tests. This was because time complexity, space complexity, algorithms, and data structures felt so difficult to approach. However, thanks to the metaphors tailored to my level, detailed explanations, and the help of the book, it doesn't feel just difficult anymore. The missions and quizzes provided in the challenge were also very helpful. I hope this leads to good results... Thank you :)
Reviews 8
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Average Rating 5.0
5
I think I was able to continue studying consistently thanks to the challenge. Additionally, I approached the challenge as a way to review algorithms I had previously studied. Through the concept missions, I was able to develop the ability to logically explain things I couldn't explain in depth before, and through the implementation missions, I feel I've become able to view code from a conceptual perspective. It was a challenge where I gained a lot, feeling like I was studying a supplement to the book "Cracking the Coding Test."
Reviews 1
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Average Rating 5.0
Reviews 1
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Average Rating 1.0
Edited
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