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Mastering Python Algorithm Fundamentals Faster Than Anyone

Mastering Python Algorithm Fundamentals Faster Than Anyone (Divide and Conquer, Binary Search) Learn Python fundamentals and dive into divide and conquer and binary search algorithms!

19 learners are taking this course

  • Neo
실습 중심
알고리즘
파이썬알고리즘
정렬
Python
Algorithm

What you will gain after the course

  • Python Basics

  • Algorithms Using Python

  • Focuses on binary search and divide-and-conquer approaches

Mastering Python Algorithm Fundamentals Faster Than Anyone

Master divide and conquer and binary search all at once through this course!

From Python basics to core algorithms, organize everything in just one course.
This is an algorithm introduction course where you can understand "faster than anyone" and implement "easier than anyone."

Python, Algorithm

🔍 Recommended for these people!

✅ Those who know Python syntax but feel overwhelmed when solving algorithm problems
✅ Those who want to get started with solving Baekjoon (BOJ) problems
✅ Non-CS majors starting to prepare for coding tests
✅ Developers who want to clearly understand divide and conquer / binary search algorithms

🧠 Course Introduction

This course is a Python Algorithm Fundamentals course.
Rather than simply memorizing code,
it is structured to help you understand "Why does it work this way?" step by step through visual explanations.

📘 Expected Learning Outcomes

✅ You can master the fundamentals of Python algorithms.
✅ You can quickly solve divide and conquer and binary search problems in coding tests.
✅ You can develop the thinking skills to break down complex problems step by step and solve them.

💬 Do you have any questions?

Q1. I'm completely new to Python. Is it okay to take this course?

Of course! 👋
This course focuses on "the principles of how algorithms work" rather than complex data structures or mathematical formulas.
So if you know the basic Python syntax (lists, loops, conditional statements), you'll be able to follow along just fine.
It's structured so you can understand "why we divide and merge like this" by actually writing the code.

Q2. Why do we focus on 'divide and conquer' and 'binary search'?

That's a great question 💡
These two algorithms aren't just techniques for solving a single problem,
but help you learn "the mindset of breaking down complex problems to solve them".
Once you grasp this sense, you'll understand sorting, searching, and DP much faster when you learn them next.
In other words, it's a core part that builds the 'foundational strength' for algorithm studies.

Q3. Is it also helpful for coding test preparation?

Of course 👍
Binary search is a staple topic in coding tests,
and divide and conquer forms the foundation for high-difficulty problems like quicksort, merge sort, and quadtrees.
The idea of "splitting problems in half to solve them" is embedded in almost all major company coding tests.
With this one lecture, you can establish the framework for core coding test algorithms.

Pre-enrollment Reference Information

Practice Environment

  • Operating System and Version (OS): MacOS

  • Tools used: VS Code


Learning Materials

  • I'm providing you with the Notion link!

Prerequisites and Important Notes

  • I introduce algorithms focusing on binary search and divide and conquer.

  • I'll teach you the basics of Python syntax in a light and easy way.

  • It does not target deep algorithms.

Recommended for
these people

Who is this course right for?

  • Those who are new to Python

  • Those who are curious about Python algorithms

  • Those who want to learn Python basics and algorithms

Need to know before starting?

  • Basic Computer Knowledge

Hello
This is

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Answers

4.7

Rating

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협업 및 기타 비즈니스 문의는 yeseong0412@gmail.com 으로 부탁드립니다!

Curriculum

All

9 lectures ∙ (1hr 8min)

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