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Computer Programming

270 learners

Maximizing Efficiency in Problem-Solving Techniques in Go

This comprehensive course covers unique problem-solving approaches and analysis techniques. Topics include optimizing brute force methods, addressing combinatorial problems, and utilizing heaps and sorted lists efficiently.

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4 lessons

12 practices

3 hours

General Programming and Algorithms

Lessons and practices

Lesson 1: Finding Combinations in Lists Using Go

Finding Pair with Target Sum in an Integer Array

Get Player Scores from ID Queries

Finding Indices with Equal Sum in Two Arrays

Lesson 2: Optimization Using Precalculation in Go

Maximum Subarray Sum Between Indices

Longest Sequence After Character Removal

Calculating Divisors of Closest Perfect Squares in an Array

Lesson 3: Solving Combinatorial Problems Using Go Maps and Slices

Counting Pairs with Large Absolute Difference in Go

Counting Pairs of Equal Values in an Array

Counting Unique 3-Letter Combinations in a String

Lesson 4: Finding Prefix Medians Using Heaps in Go

Implement a Max Heap to Process Operations

Process Queries for Minimum Elements in Go

Prefix Floor Division Medians Calculation in Go

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