--- title: Vectorization in practice | daily.dev description: This post explores the concept of vectorization and the use of data structures in computer science. It compares tuples and lists in Python as representations... canonical: https://daily.dev/posts/vectorization-in-practice-gzqzp0edv twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Vectorization in practice | daily.dev og:description: This post explores the concept of vectorization and the use of data structures in computer science. It compares tuples and lists in Python as representations... og:url: https://daily.dev/posts/vectorization-in-practice-gzqzp0edv og:image: https://api.daily.dev/og/posts/GzqZP0Edv.png og:image:alt: Vectorization in practice og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Vectorization in practice **[The Palindrome](https://daily.dev/sources/palindrome)** · 12 min read · 17 upvotes · 0 comments ## Summary This post explores the concept of vectorization and the use of data structures in computer science. It compares tuples and lists in Python as representations of vectors and explains why NumPy arrays are faster than Python lists for scientific computation. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#python](https://daily.dev/tags/python), [#performance](https://daily.dev/tags/performance), [#data-structures](https://daily.dev/tags/data-structures), [#numpy](https://daily.dev/tags/numpy) [View this post on daily.dev](https://daily.dev/posts/vectorization-in-practice-gzqzp0edv) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Vectorization in practice","url":"https://daily.dev/posts/vectorization-in-practice-gzqzp0edv","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/vectorization-in-practice-gzqzp0edv"},"datePublished":"2024-05-14T14:27:02.013Z","dateModified":"2024-05-14T14:26:59.820Z","description":"This post explores the concept of vectorization and the use of data structures in computer science. It compares tuples and lists in Python as representations...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ad76aea9b37890e715ac65865d16eaf8?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/ad76aea9b37890e715ac65865d16eaf8?_a=AQAEuiZ","isAccessibleForFree":true,"articleSection":"The Palindrome","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"The Palindrome","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/cfdfeb66e965438eb7a539c98ba83494","url":"https://daily.dev/sources/palindrome"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/vectorization-in-practice-gzqzp0edv","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":17},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"python,performance,data-structures,numpy","timeRequired":"PT12M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"The Palindrome","item":"https://daily.dev/sources/palindrome"},{"@type":"ListItem","position":3,"name":"Vectorization in practice"}]} ```