Building A Python-Based Search Engine

Gain a deeper understanding of search engine technology and how to implement custom search solutions. Explore core concepts like inverted indexes, stemming, and relevance.

Introduction

This course provides a broad overview of how search technologies work, including concepts such as inverted indexes, stemming, n-grams, and relevance. The goal is to give learners insights into how search engines function, rather than having them write another search library.

Highlights

• Covers core concepts of search engine technology, including document-based systems, inverted indexes, stemming, and relevance
• Explores the differences between search engines and traditional databases
• Discusses the benefits of having in-house search capabilities, beyond relying on external search providers
• Includes code examples and access to course slides for further learning

Recommendation

This course is recommended for developers, software engineers, and data professionals who want to gain a deeper understanding of search engine technology and how to implement custom search solutions. By understanding the underlying principles of search engines, learners can apply these concepts to a variety of applications and gain insights into working with other search technologies.

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