• camkego 4 days ago

    Just started using Polars, great to learn that data frame validation even exists. Thanks

    • mathisd 3 days ago

      Could you provide some code example panderas vs Dataframely ?

      • undefined 4 days ago
        [deleted]
        • account-5 4 days ago

          I've used pandas before, and recently became aware of polars as it's part on Nushell by way of a plugin.

          Why would you use polars over pandas?

          • NeutralForest 4 days ago

            Something not mentioned yet is that pandas is eager and copies memory quite liberally so even not too large datasets might blow up your RAM. Polars has an eager API but also a lazy one; I know they're also working on a query optimizer for lazy queries so you could theoretically handle even large data on a laptop for example.

            • gpderetta 4 days ago

              because this way you wouldn't be using pandas. That must be a good reason by itself.

              pandas is extremely powerful, but everything seems way more complex than it needs to be.

              • ayhanfuat 4 days ago

                Better syntax, speed and memory.

                • mettamage 4 days ago

                  Seconding this, the syntax feels SQL-like which I'm a fan of since I also sometimes have to write SQL queries. So they keep the mindset sharp and also are a clear paradigm to think in if I need to think about a polars dataframe.

                  • account-5 4 days ago

                    Thanks both, the sql-like syntax is definitely something I'm enjoying in Nushell.