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This course is a detailed guide for data structures and algorithms with specific applications in the Go programming language.
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Here is what you will Learn from Data Structures & Algorithms In Go
1. Getting Started
- Who Should Take this Course and Why?
2. Time Complexity
- Introduction and Asymptotic Analysis
- Big-O, Omega and Theta Notations
- Complexity Analysis of Algorithms
- Time Complexity Order
- Challenge: Sum Array
- Solution Review: Sum Array
- Challenge: Sequential Search
- Solution Review: Sequential Search
- Challenge: Binary Search
4. Recursive Functions
- Recursive Functions
- Challenge: Factorial
- Solution Review: Factorial
- Challenge: Print Base 16 Integers
5. Approaches to Solve Algorithm Design Problems
- Introduction and Constraints
- Idea Generation
- Complexities, Coding, and Testing
- Example and Summary