changelog: 🐼 vs 🐻‍❄️... fight! 😄

[skip ci]

CHANGELOG.md

@@ -14,7 +14,7 @@ Following the [0.129.0 release - the largest release ever](https://github.com/jq
 - Added `.ssv` (semicolon separated values) automatic support. Semicolon separated values are now automatically detected and supported by qsv. Though not as common as CSV, SSV is used in some regions and industries, so qsv now supports it.
 - Added cargo deb compatibility. In preparation for the release of [DataPusher+ 1.0](https://github.com/dathere/datapusher-plus/tree/master), we're now making it easier to upgrade `qsvdp` so [CKAN](https://ckan.org) administrators can install and upgrade it more easily, using `apt-get install qsvdp` or `apt-get upgrade qsvdp`.
 DP+ is our next-gen, high-speed data ingestion tool for CKAN. Its not only a robust, fast, validating data pump that guarantees high quality data, it also does extended analysis to infer and derive high-quality metadata - what we call "[automagical metadata](https://dathere.com/2023/11/automagical-metadata/)".
-- Upgraded to the latest Polars upstream at the [py-polars-1.3.0](https://github.com/pola-rs/polars/releases/tag/py-1.3.0) tag. [Polars tops the TPC-H Benchmark](https://pola.rs/posts/benchmarks/) and is several orders of magnitude faster than traditional dataframe libraries (cough - pandas). qsv proudly rides the Polars bear to get subsecond response times even with very large datasets!
+- Upgraded to the latest Polars upstream at the [py-polars-1.3.0](https://github.com/pola-rs/polars/releases/tag/py-1.3.0) tag. [Polars tops the TPC-H Benchmark](https://pola.rs/posts/benchmarks/) and is several orders of magnitude faster than traditional dataframe libraries (cough - 🐼 pandas). qsv proudly rides the 🐻‍❄️ Polars bear to get subsecond response times even with very large datasets!
 - qsv v0.130.0 shell completions files are available for download [here](https://github.com/jqnatividad/qsv/tree/master/contrib/completions/examples). With shell completions, pressing tab in a compatible shell may provide suggestions for various qsv commands, subcommands, and options that you may choose from. Supported shells include bash, zsh, powershell, fish, nushell, fig, and elvish. You may view tips on how to install completions for the bash shell [here](https://100.dathere.com/exercises-setup.html#optional-set-up-qsv-completions).
 
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