--- title: Polars News & Updates | daily.dev description: Polars news and updates covering A DataFrame library written in Rust with Python bindings. Readers can learn about its lazy and eager APIs, query optimisation and multithreaded execution, memory behaviour on large datasets, migration from pandas, and integration with Arrow and Parquet. canonical: https://daily.dev/tags/polars twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/polars og:type: website og:site_name: daily.dev og:title: Polars News & Updates | daily.dev og:description: Polars news and updates covering A DataFrame library written in Rust with Python bindings. Readers can learn about its lazy and eager APIs, query optimisation and multithreaded execution, memory behaviour on large datasets, migration from pandas, and integration with Arrow and Parquet. og:image: https://api.daily.dev/og/tags/polars.png og:image:width: 1200 og:image:height: 630 --- ## Recommended Polars stories ## Who to follow for Polars ## Top sources covering Polars ## Most upvoted Polars posts ## Best discussed Polars posts ## All posts about Polars ```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","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/polars#page","url":"https://daily.dev/tags/polars","name":"Polars News & Updates","description":"Polars news and updates covering A DataFrame library written in Rust with Python bindings. Readers can learn about its lazy and eager APIs, query optimisation and multithreaded execution, memory behaviour on large datasets, migration from pandas, and integration with Arrow and Parquet.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/polars#items","numberOfItems":10,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/plotting-made-easy-with-hvplot-0-9-and-0-10-releases-2tbb4gaik","name":"Plotting made easy with hvPlot: 0.9 and 0.10 releases"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/pandas-vs-polars-bid-adieu-to-pandas-and-switch-to-polars--ghkuswbkp","name":"Pandas vs Polars? Bid Adieu to Pandas and Switch To Polars!"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/pandas-vs-polars-bid-adieu-to-pandas-and-switch-to-polars--jdmrhwa7a","name":"Pandas vs Polars? Bid Adieu to Pandas and Switch To Polars!"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/client-libraries-are-better-when-they-have-no-api-hnbo9lky6","name":"Client libraries are better when they have no API"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/pycoder-s-weekly-weisb5inn","name":"PyCoder’s Weekly"},{"@type":"ListItem","position":6,"url":"https://daily.dev/posts/15-pandas-polars-sql-pyspark-translations-djnaspmo0","name":"15 Pandas ↔ Polars ↔ SQL ↔ PySpark Translations"},{"@type":"ListItem","position":7,"url":"https://daily.dev/posts/influxdb-3-0-python-client-update-adding-polars-support-uz00f5ioy","name":"InfluxDB 3.0 Python Client Update: Adding Polars Support"},{"@type":"ListItem","position":8,"url":"https://daily.dev/posts/lancedb-polars-j8trochrr","name":"LanceDB + Polars"},{"@type":"ListItem","position":9,"url":"https://daily.dev/posts/pandas-vs-polars-a-comparative-analysis-of-python-s-dataframe-libraries-xezscklof","name":"Pandas vs. Polars: A Comparative Analysis of Python’s Dataframe Libraries"},{"@type":"ListItem","position":10,"url":"https://daily.dev/posts/python-for-data-engineering-77k7sldza","name":"Python for Data Engineering"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tags","item":"https://daily.dev/tags"},{"@type":"ListItem","position":3,"name":"Polars"}]}]} ```