shomali11/go-interview

Features

• Algorithmic Problem Solving - Provides a collection of algorithmic solutions specifically designed for technical interview and coding assessment preparation.
• Algorithm Implementations - Provides practical code implementations of algorithms and design patterns for computational problems.
• Technical Interview Preparation - Offers a comprehensive set of resources and implementations for preparing for technical coding interviews.
• Data Structures - Implements fundamental memory-based structures including linked lists, stacks, queues, and trees.
• Algorithm Libraries - A comprehensive library of common data structures and algorithms implemented in Go.
• Data Structure Implementations - Provides practical implementations of fundamental structures like linked lists, stacks, and hash maps.
• Linked Data Structures - Implements fundamental pointer-based structures like linked lists for efficient data organization.
• Real-Time Data Processors - Implements a real-time data processor to ingest and transform streams for continuous analytics.
• Stream Median Calculators - Implements specialized calculators for determining the median of a continuous number stream.
• Stream Analytics - Computes real-time moving averages and running medians from continuous data inputs.
• Sliding Window Algorithms - Implements sliding window techniques to process contiguous data buffers for real-time metrics.
• Heuristic Graph Search Algorithms - Implements graph traversal algorithms that use heuristic estimates to optimize pathfinding.
• Shortest Path Algorithms - Provides algorithms to calculate the most efficient route between nodes in a graph.
• Pathfinding Algorithms - Implements graph traversal and pathfinding algorithms to find optimal routes.
• Median Tracking - Implements a two-heap system to track the running median of a continuous data input.
• Priority Queues - Utilizes priority queues to manage and track the lowest-cost nodes during pathfinding.

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