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[Challenge for the Open Recruitment Season] Become a Coding Test Passer – Python Edition

In just 3 weeks, here's what you'll get

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

  • How to Understand What a Coding Test Problem Requires

Starts Sep 13

18 days

Finish Sep 30

  • Cohort 9now opening
  • 944People who joined past cohortsPast participants
  • 5.016 reviews of the original courseCourse reviews
  • 1,762Students of the original courseCourse students

Last cohort's work

What 26 people in cohort 8 built

dremdeveloper님과 함께해요!

Career Verified

5,081

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87

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4.9

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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

Become a Successful Coding Test Taker: Python Edition – Taught Directly by the Author


Coding tests—no more struggling through them alone!

From non-majors to computer science majors, everyone is invited to the best free Python coding test course, designed to be easy to understand while building practical skills.



Why should you prepare for coding tests with Python?

In the world of coding tests, Python is undoubtedly a standout language. Thanks to its concise and intuitive syntax, you can write code much more quickly and in far fewer lines than in C++ or Java, even when implementing the same logic.

This becomes a powerful weapon in coding test environments, where you must implement accurate code within a limited time. In addition, Python provides a wealth of powerful and efficient built-in data structures, such as lists and dictionaries, helping you solve even complex algorithmic problems with relative ease.


In this course, we will make the most of Python’s advantages to help you focus more on the essence of problems and invest your time in developing solution strategies.


What will you learn? The core course curriculum

This free course systematically covers everything you need to pass coding tests. First, we take an in-depth look at the principles of the core data structures (arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs) that form the foundation of coding tests. Rather than simply memorizing concepts, you will gain a clear understanding through real-world examples of when and why each data structure is used. Next, you will master key algorithms (brute-force search, greedy algorithms, DFS/BFS, dynamic programming, and more).
* The course is updated weekly


Prepared for those of you! (Who this course is for)

  • For those preparing for coding tests for the first time with the goal of getting a job at an IT company: We provide the most efficient and proven learning roadmap for those who felt overwhelmed and unsure where or how to begin.

  • For those without a computer science background who aspire to become developers: We minimize difficult computer science terminology and break down conceptual barriers with easy-to-understand explanations and analogies that anyone can follow.



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9월

13일

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2026년 9월 13일 오전 12:00

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2026년 9월 30일 오후 11:30

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52 lectures

Course Materials:

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Recommended for
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Who is this course right for?

  • Those preparing for coding tests

  • 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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