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Becoming a Coding Test Qualifier - Python Edition Season 3

- 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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Algorithm
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35개 수업 학습

17회 미션 수행

dremdeveloper님과 함께해요!

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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

Cafe Address: cafe.naver.com/dremdeveloper

Business Email: ultrasuperrok@gmail.com

YouTube Address: https://www.youtube.com/@dremdeveloper

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Becoming a Coding Test Passer: Python Edition - Lecture by the Author


Stop struggling with coding tests all by yourself!

We invite everyone, from non-majors to CS majors, to the best free Python coding test lecture where anyone can easily understand and develop practical skills.



Why should you prepare for coding tests with Python?

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.


What will you learn? Core Course Curriculum

This free course 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


We prepared this for people like you! (Target Audience)

  • Those preparing for coding tests for the first time with the goal of getting a job at an IT company: We present the most efficient and proven learning roadmap for those who felt overwhelmed and didn't know where or how to start.

  • Non-majors dreaming of becoming developers: We break down conceptual barriers by minimizing difficult computer science terminology and using easy explanations and analogies that anyone can understand.



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2026년 2월 28일 PM 03:00

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2026년 3월 28일 PM 02:30

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52 lectures

Course Materials:

Lecture resources
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챌린지에서 배워요

  • Basic concepts of data structures and algorithms frequently appearing in coding tests

  • How to identify the requirements of a coding test problem

Recommended for
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Who is this course right for?

  • Those who are preparing for a coding test

  • Those who want to learn the basics of data structures and algorithms.

Need to know before starting?

  • Basic knowledge of Python syntax

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