Explore locality sensitive hashing (LSH) techniques for accelerating search and similarity comparisons in this EuroPython Conference talk. Learn about two Python implementation methods: a stateless approach for specific data types and a stateful method for diverse data distributions. Discover practical applications of LSH in image search, collaborative filtering, and data science. Gain insights into the underlying concepts, including marginal space, random lines, and dimensionality. Examine Python packages like RPForest and their performance benefits. Understand how LSH is applied to search functionality at Lyst, including integration with PostgreSQL. Conclude with a Q&A session to address specific implementation queries and real-world use cases.