Introduction to Building a Search Engine with Python

Are you curious about how search engines like Google work behind the scenes? In this tutorial, we will dive deep into the heart of search engines and explore the inverted index, a fundamental data structure that powers fast information retrieval.

As a senior engineer, you'll appreciate the simple genius of the inverted index. We'll start by understanding how it functions as the "index funds" of words, pointing to web pages instead of stocks. Then, we'll demonstrate how to build our own inverted index from scratch using Python.

But building an inverted index is just the beginning. We'll also cover essential concepts like full-text search, tokenization, and stemming to enhance the accuracy and efficiency of our search engine. Additionally, we'll explore ranking algorithms, such as a simplified version of the PageRank algorithm, to sort and display the most relevant search results.

By the end of this tutorial, you'll gain priceless insights into search engine systems like Elasticsearch and MongoDB. So let's dive in and unlock the power of building a search engine with Python!