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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!
29 learners are taking this course
Level Beginner
Course period Unlimited
Python Basics
Algorithms Using Python
Focuses on binary search and divide-and-conquer approaches
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
✅ 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
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.
✅ 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.
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.
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.
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.
Operating System and Version (OS): MacOS
Tools used: VS Code
I'm providing you with the Notion link!
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.
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
2,656
Learners
317
Reviews
47
Answers
4.7
Rating
31
Courses
Hello! I am Neo, an instructor here at Inflearn.
My goal is to make various development technologies that are not commonly encountered accessible to many people.
Therefore, I aim to design a curriculum focused on practical application rather than a simple list of theories, providing hands-on lectures that allow for learning without troubleshooting hurdles.
I am structuring the content with a light and friendly approach so that even beginners can follow along without burden, focusing particularly on lowering the barrier to entry for knowledge.
Sometimes, I also work on lectures together with like-minded people!
For collaboration and other business inquiries, please contact yeseong0412@gmail.com!
All
9 lectures ∙ (1hr 8min)
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