latex-rs
polars
Our great sponsors
| latex-rs | polars | |
|---|---|---|
| 1 | 144 | |
| 52 | 26,218 | |
| - | 6.7% | |
| 0.0 | 10.0 | |
| 5 months ago | 3 days ago | |
| Rust | Rust | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
latex-rs
-
What libraries do you miss from other languages?
If yo do implement it this way, be sure to escape any untrusted input. Otherwise you're opening yourself up to arbitrary command execution. For more details, check out this issue I created on a similar rust project (which seems dead): https://github.com/Michael-F-Bryan/latex-rs/issues/13
polars
-
Why Python's Integer Division Floors (2010)
This is because 0.1 is in actuality the floating point value value 0.1000000000000000055511151231257827021181583404541015625, and thus 1 divided by it is ever so slightly smaller than 10. Nevertheless, fpround(1 / fpround(1 / 10)) = 10 exactly.
I found out about this recently because in Polars I defined a // b for floats to be (a / b).floor(), which does return 10 for this computation. Since Python's correctly-rounded division is rather expensive, I chose to stick to this (more context: https://github.com/pola-rs/polars/issues/14596#issuecomment-...).
-
Polars
https://github.com/pola-rs/polars/releases/tag/py-0.19.0
-
Stuff I Learned during Hanukkah of Data 2023
That turned out to be related to pola-rs/polars#11912, and this linked comment provided a deceptively simple solution - use PARSE_DECLTYPES when creating the connection:
- Polars 0.20 Released
- Segunda linguagem
- Polars: Dataframes powered by a multithreaded query engine, written in Rust
- Summing columns in remote Parquet files using DuckDB
- Polars 0.34 is released. (A query engine focussing on DataFrame front ends)
What are some alternatives?
typed-html - Type checked JSX for Rust
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
tera - A template engine for Rust based on Jinja2/Django
modin - Modin: Scale your Pandas workflows by changing a single line of code
tiny-skia - A tiny Skia subset ported to Rust
datafusion - Apache DataFusion SQL Query Engine
plotters - A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀
DataFrames.jl - In-memory tabular data in Julia
askama - Type-safe, compiled Jinja-like templates for Rust
datatable - A Python package for manipulating 2-dimensional tabular data structures
ceres-solver - A large scale non-linear optimization library
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing