[Free] Data Structures And Algorithms | Python | Javascript
Learn Data Structures and Algorithms by deeply understanding problems and patterns – Free Course
What you’ll learn
- How to deeply learn leetcode problems
- How to master dsa without feeling overwhelmed
- We discuss as sample problem: Leetcode 875 Koko Eating bananas
- We discuss as sample problem: Leetcode 42 Trapping Rain Water
Requirements
- Basic knowledge of Python or Javascript
Description
Deep Learning Path for Data Structures and Algorithms
In this course, we’ll take a unique approach to mastering DSA by deep-diving into carefully selected problems. We’ll focus on thoroughly understanding each problem and its underlying patterns.Course Highlights
We’ll explore problems like “Koko Eating Bananas” and “Trapping Rain Water” to build fundamental skills that transfer to many other problems:
Koko Eating Bananas
This problem applies the binary search algorithm in a non-traditional context. You’ll learn how to:
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Apply binary search to optimization problems
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Develop intuition for identifying when binary search is applicable
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Transform seemingly complex problems into search problems
Trapping Rain Water
This elegant problem demonstrates multiple solution approaches, teaching you how to:
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Visualize and break down complex array manipulation challenges
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Implement solutions using dynamic programming, two-pointer techniques approaches
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Transform your thinking from brute force to elegant, efficient algorithms
Learning Philosophy
Each problem is a gateway to a family of related challenges. By mastering one thoroughly, you’ll develop the mental models needed to solve dozens of variations. By deeply understanding problems you will be eventually be able to master :
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Pattern recognition rather than memorization
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Multiple solution approaches to the same problem
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Connections between seemingly unrelated problems
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Building a toolkit of reusable techniques
Join me in this free course to learn how deep understanding of fewer problems leads to greater mastery than superficial exposure to many.
Author(s): Jackson Kailath
