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This article will guide and help you explore search methods and algorithms tailored to core data structures: linear & binary scans in arrays, O(1) hash lookups, prefix tries, balanced BSTs, skip lists, and B‑trees, mechanics, trade‑offs, and practical use cases.
This article is a comparison chart and also a technical reference sheet which integrates provenance, algorithmic variants and engineering pragmatic factors (speed, memory, scope, etc.) of several popular Sorting Algorithms. Use this article as an advanced technical reference.
Whether you are a new programmer or brushing up on fundamentals, this guide will help you understand these essential algorithms in a clear, tutorial-friendly way. From sorting, searching, graphing and cryptography to dynamic programming, greediness and machine learning algorithms.
Using GitLab and GitHub simultaneously provides redundancy, better CI/CD options, and more collaboration opportunities. This guide explains how to set up and use GitLab and GitHub simultaneously in a project.
