#lectures #romans #polars
#Python #Polars is available in #Guix
https://codeberg.org/guix/guix/pulls/6641
Thanks #guixrustteam for guidance and review!
Just updated my small
package polarsgrid for tidyverse-style expand_grid functionality in python polars 🐻❄️
https://pypi.org/project/polarsgrid/
Version 0.4.0 has unit tests, more efficient row-index computation, better CI.
Major new user-facing improvement is that you can now enter any iterable as the input, not just lists. So create your grid with range(10) instead of list(range(10)).
See this preprint for use-case
https://arxiv.org/abs/2509.11741
Pandasはもう古い?2026年のPythonデータ分析ライブラリを整理してみた
https://qiita.com/YASUHARA-Wataru/items/5a8a16a2b7e91c3536a8?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items
RE: https://mastodon.energy/@catalystcoop/116165894396269040
It's easy to query the bulk Parquet outputs with #polars or @duckdb or @pandas_dev
So far we've only applied basic transforms -- real dtypes & NULL values, standardized categorical values, etc. But the upgrade to a modern cloud-native format is a huge improvement over nested zipfiles.
And a big thanks to the folks at the AWS Open Data Registry for giving us a TB of free public storage so we can publish big data like this conveniently.
Let us know what you think, and what additional kinds of data cleaning, entity classification, record linkage, or additional aggregated outputs would be useful.
Here is how you can explore massive datasets from the terminal 💯
🌀 **datui** — A high-performance TUI for analyzing tabular data
🔥 Query with SQL, render charts, transform data & stream huge files with Polars
🦀 Written in Rust & built with @ratatui_rs
⭐ GitHub: https://github.com/derekwisong/datui
#rustlang #ratatui #tui #data #analytics #polars #cli #devtools

Polars is a cross-language tool for manipulating very large data. However, one drawback is that the R implementation has a syntax that will look odd to many R users who are not used to Python syntax. The objective of tidypolars is to improve the ease-of-use of Polars in R by providing tidyverse syntax to polars.
Happy 3rd anniversary, Bamboo Weekly!
This is issue 156, marking 3 years of weekly Pandas challenges.
This week, we look at Winter Olympic data. Since they love snow so much, we'll use #Polars along with #Python #Pandas.
Check it out, at https://BambooWeekly.com.
Thought I’d give Polars a try, since I needed to rework some Python code that uses Pandas anyway
Nope. I do not care for the syntax, and the documentation is more opaque than I’d care for. And since it’s newer and less widely known, there aren’t a lot of answered questions already out there
I’ll be sticking with Pandas for the foreseeable future