mainframe
polars
| mainframe | polars | |
|---|---|---|
| 1 | 144 | |
| 3 | 26,514 | |
| - | 3.9% | |
| 5.0 | 10.0 | |
| 12 months ago | 4 days ago | |
| C++ | Rust | |
| Boost Software License 1.0 | 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.
mainframe
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Ask HN: Who is using C++ as the main language for new project?
Just about any project you do in Unreal is a C++ project and Unreal is used all over the place - in games but also in industrial design and architecture for demos and visualization.
I started a project (https://github.com/tedmiddleton/mainframe) last year to make a dataframe in C++ because I was running into some performance limits in Pandas. I’m not sure how useful a C++ dataframe is - but I imagine it as being an alternative to going all the way to Hadoop and spark if you’ve outgrown pandas.
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?
litestream - Streaming replication for SQLite.
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 🚀
MathAnimation - A simple C++/OpenGL application to create quick and dirty mathematically accurate animations
modin - Modin: Scale your Pandas workflows by changing a single line of code
windmap
datafusion - Apache DataFusion SQL Query Engine
gui_starter_template - A template CMake project to get you started with C++ and tooling
DataFrames.jl - In-memory tabular data in Julia
Wt - Wt, C++ Web Toolkit
datatable - A Python package for manipulating 2-dimensional tabular data structures
Tasker - A commitment tracker desktop app that tracks the progress of your tasks with mouse, keyboard and audio hooks.
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing