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Thoroughly reading "Becoming a Coding Test Passer - Python Edition"

In just 5 weeks, here's what you'll get

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

  • How to identify the requirements in coding test problems

Starts Mar 22

34 days

Finish Apr 25

  • Cohort 4now opening
  • 652People who joined past cohortsPast participants
  • 63Public work from the last cohortPublic work
  • 5.016 reviews of the original courseCourse reviews

Last cohort's work

What 144 people in cohort 3 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

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


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 guide you to utilize these advantages of Python to their full potential (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 will 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 real-world 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 a coding test for the first time with the goal of getting a job at an IT company: For those who felt overwhelmed about where and how to start, we present the most efficient and proven learning roadmap.

  • Non-majors dreaming of becoming a developer: We minimize difficult computer science terminology and break down conceptual barriers with easy explanations and analogies that anyone can understand.



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54 lectures

Course Materials:

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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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