holo
polars
| holo | polars | |
|---|---|---|
| 5 | 144 | |
| 203 | 26,637 | |
| 6.4% | 4.4% | |
| 9.3 | 10.0 | |
| 5 days ago | 2 days ago | |
| Rust | Rust | |
| MIT License | GNU General Public License v3.0 or later |
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.
holo
- Holo v0.3 released (a pure-Rust routing protocol suite)
- Holo: A routing protocol suite written in Rust
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What are you rewriting in rust?
I'm currently working on the Holo routing protocol suite: https://github.com/rwestphal/holo
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Announcing Holo: a routing protocol suite written in Rust!
Hey, thanks for your input! I totally agree with you - the README file doesn't exactly make it clear how Holo should be used in practice. I'll definitely work on fixing that. In theory, using Holo is actually pretty straightforward - all you need to do is run the holod daemon and configure it through holo-cli or a gRPC script. These wiki pages should be a good starting point: * https://github.com/rwestphal/holo/blob/master/INSTALL.md * https://github.com/rwestphal/holo/wiki/gRPC * https://github.com/rwestphal/holo/wiki/CLI * https://github.com/rwestphal/holo/wiki/Example-Topology Moving forward, I'm definitely planning on improving the documentation to make Holo more accessible to everyone and easier to use. Thanks again for your feedback!
polars
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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-...).
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Polars
https://github.com/pola-rs/polars/releases/tag/py-0.19.0
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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?
music-for-programming - Stream musicforprogramming.net directly into your terminal
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 🚀
signrs
modin - Modin: Scale your Pandas workflows by changing a single line of code
tensorken - A fun, hackable, GPU-accelerated, neural network library in Rust, written by an idiot
datafusion - Apache DataFusion SQL Query Engine
freebsd-src - The FreeBSD src tree publish-only repository. Experimenting with 'simple' pull requests....
DataFrames.jl - In-memory tabular data in Julia
gitoxide - An idiomatic, lean, fast & safe pure Rust implementation of Git
datatable - A Python package for manipulating 2-dimensional tabular data structures
proxelar - A MITM Proxy 🧑💻! Toolkit for HTTP/1, HTTP/2, and WebSockets with SSL/TLS Capabilities. Learning Project.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing