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Becoming a Coding Test Qualifier Python Edition - 6th Cohort

In just 6 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 Jul 26

42 days

Finish Sep 6

  • Cohort 7now opening
  • 877People who joined past cohortsPast participants
  • 5.016 reviews of the original courseCourse reviews
  • 1,757Students of the original courseCourse students

dremdeveloper님과 함께해요!

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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

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Becoming a Coding Test Qualifier: Python Edition - Author's Lecture


Stop struggling with coding tests all by yourself!

We invite you to the best free Python coding test lecture, designed for everyone from non-majors to majors to easily understand and build 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 guide you to utilize these advantages of Python to their full 200%, allowing 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 lecture systematically covers everything you need to pass a coding test. 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: 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 who are dreaming of becoming developers: We break down the barriers of concepts by minimizing difficult computer science terminology and providing easy explanations and metaphors that anyone can understand.



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52 lectures

Course Materials:

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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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