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Becoming a Coding Test Qualifier - Python Edition Season 3

In just 4 weeks, here's what you'll get

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

  • How to identify the requirements of a coding test problem

Starts Mar 1

27 days

Finish Mar 28

  • Cohort 3now opening
  • 508People who joined past cohortsPast participants
  • 34Public work from the last cohortPublic work
  • 5.016 reviews of the original courseCourse reviews

Last cohort's work

What 222 people in cohort 2 built

dremdeveloper님과 함께해요!

Career Verified

5,071

Learners

87

Reviews

6

Answers

4.9

Rating

21

Courses

Hello. I’m Park Gyeong-rok, a developer with 10 years of experience developing machine learning software at Samsung Electronics and the author of the *Becoming a Successful Coding Test Taker* series.

I teach data structures and algorithms, with a focus on C/C++/Python. I explain difficult concepts through diagrams and execution processes, and focus on creating content that helps learners master the flow of problem analysis → solution strategy → implementation → complexity review.

At Inflearn, I offer Python and C++ coding test courses for free. In the Naver Cafe and open chatroom, I share study materials and study group updates and answer questions.

Books: https://store.kyobobook.co.kr/person/detail/1112299903

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

LinkedIn: https://www.linkedin.com/in/ultrasuperrok/

Naver Cafe: https://cafe.naver.com/dremdeveloper

Open chat room: https://open.kakao.com/o/gX0WnTCf

Business inquiries: ultrasuperrok@gmail.com

More

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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2월

28일

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2026년 2월 28일 오후 03:00

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2026년 3월 28일 오후 02:30

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All

52 lectures

Course Materials:

Lecture resources
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Recommended for
these people

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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