--- title: 15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations | daily.dev description: The post discusses the limitations of Pandas and how Polars addresses them. It also highlights the importance of Spark in data science. Additionally, it asks... canonical: https://daily.dev/posts/15-pandas-polars-sql-pyspark-translations-djnaspmo0 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: 15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations | daily.dev og:description: The post discusses the limitations of Pandas and how Polars addresses them. It also highlights the importance of Spark in data science. Additionally, it asks... og:url: https://daily.dev/posts/15-pandas-polars-sql-pyspark-translations-djnaspmo0 og:image: https://api.daily.dev/og/posts/DjnAsPmO0.png og:image:alt: 15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations 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. # 15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations **[Substack](https://daily.dev/sources/substack)** · 2 min read · 7 upvotes · 0 comments ## Summary The post discusses the limitations of Pandas and how Polars addresses them. It also highlights the importance of Spark in data science. Additionally, it asks for faster alternatives to Pandas. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#data-science](https://daily.dev/tags/data-science), [#sql](https://daily.dev/tags/sql), [#pandas](https://daily.dev/tags/pandas), [#pyspark](https://daily.dev/tags/pyspark) [View this post on daily.dev](https://daily.dev/posts/15-pandas-polars-sql-pyspark-translations-djnaspmo0) ```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":"15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations","url":"https://daily.dev/posts/15-pandas-polars-sql-pyspark-translations-djnaspmo0","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/15-pandas-polars-sql-pyspark-translations-djnaspmo0"},"datePublished":"2024-02-15T18:49:47.925Z","dateModified":"2024-05-09T08:07:00.500Z","description":"The post discusses the limitations of Pandas and how Polars addresses them. It also highlights the importance of Spark in data science. Additionally, it asks...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/12e10aaefa016a030ac5eb9536d17070?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/12e10aaefa016a030ac5eb9536d17070?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Substack","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":"Substack","logo":"https://media.daily.dev/image/upload/s--KFqxX_OL--/f_auto,t_logo/v1698154293/logos/substack.jpg","url":"https://daily.dev/sources/substack"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/15-pandas-polars-sql-pyspark-translations-djnaspmo0","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":7},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-science,sql,pandas,pyspark","timeRequired":"PT2M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Substack","item":"https://daily.dev/sources/substack"},{"@type":"ListItem","position":3,"name":"15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations"}]} ```