root
PRAW
root | PRAW | |
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31 | 528 | |
2,430 | 3,336 | |
1.5% | 1.0% | |
10.0 | 7.7 | |
3 days ago | 8 days ago | |
C++ | Python | |
GNU General Public License v3.0 or later | BSD 2-clause "Simplified" License |
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root
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If you can't reproduce the model then it's not open-source
I think the process of data acquisition isn't so clear-cut. Take CERN as an example: they release loads of data from various experiments under the CC0 license [1]. This isn't just a few small datasets for classroom use; we're talking big-league data, like the entire first run data from LHCb [2].
On their portal, they don't just dump the data and leave you to it. They've got guides on analysis and the necessary tools (mostly open source stuff like ROOT [3] and even VMs). This means anyone can dive in. You could potentially discover something new or build on existing experiment analyses. This setup, with open data and tools, ticks the boxes for reproducibility. But does it mean people need to recreate the data themselves?
Ideally, yeah, but realistically, while you could theoretically rebuild the LHC (since most technical details are public), it would take an army of skilled people, billions of dollars, and years to do it.
This contrasts with open source models, where you can retrain models using data to get the weights. But getting hold of the data and the cost to reproduce the weights is usually prohibitive. I get that CERN's approach might seem to counter this, but remember, they're not releasing raw data (which is mostly noise), but a more refined version. Try downloading several petabytes of raw data if not; good luck with that. But for training something like a LLM, you might need the whole dataset, which in many cases have its own problems with copyrights…etc.
[1] https://opendata.cern.ch/docs/terms-of-use
[2] https://opendata.cern.ch/docs/lhcb-releases-entire-run1-data...
[3] https://root.cern/
- What software is used to generate plots/graphs like this seen in many particle physics papers?
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Interactive GCC (igcc) is a read-eval-print loop (REPL) for C/C++
The odd part is that this is not just for fun. For many physicists when I was at CERN, a C++ REPL was a commonly used tool to interactively debug analyses to such a degree that many never compiled their code. Back then, I believe, it was some custom implementation included in ROOT (https://root.cern/). I even went out of my way to write C++ code compatible to it just so it could run with this implementation, otherwise some colleagues weren't interested in collaborating at all.
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Stable Diffusion in pure C/C++
That Python ML code is calling C++ code running in the GPU, one more reason to use C++ across the whole stack.
CERN already used prototyping in C++, with ROOT and CINT, 20 years ago.
https://root.cern/
Nowadays it is even usable from Netbooks via Xeus.
It is more a matter of lack of exposure to C++ interpreters than anything else.
- Root: Analyzing Petabytes of Data, Scientifically
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Aliens might be waiting for humans to solve a puzzle
Quantum computing is a pretty interesting science too. https://home.cern/news/press-release/knowledge-sharing/cern-quantum-technology-initiative-unveils-strategic-roadmap they have to deal with lots of data streaming too https://root.cern/
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cppyy Generated Wrappers and Type Annotations
I'm a user of CERN's ROOT (https://root.cern/) and while I'd usually write in C++, I've been trying to write as much Python as I can recently to get a bit better in the language.
- Root: Analyzing Petabytes of Scientific Data
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Span: how to cast pointer of pointer to other types?
I'm dealing with a C++ software called ROOT made by CERN, which is, if I'm not wrong, the only C++ API that we could use for data analysis such as plotting histograms, fitting multi-parameter functions and storing data in the size of TB to the disk and many more. That's the only reason why physicists still stick to this software. you can check here .
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How exactly would you go about writing a program to simplify algebraic expressions?
Hey, I found something which could be useful: https://root.cern
PRAW
- PRAW documentation
- Testing
- `resubmit=False` started resubmitting duplicate URLs Jul 24 2023
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Just curious which person is the most popular user flair.
I'm... not sure I understand the question? PRAW still works just fine for "personal use" of the reddit API.
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How to use use Praw library with access and refresh tokens?
Thank you for pointing out. So there is no need then for the access token? Only with the refresh token is enough? To be honest I took a look at it but I did not expect that to be under authentication as strictly speaking, the user already made the authentication. Also I took a look at the code at https://github.com/praw-dev/praw/blob/master/praw/reddit.py and I did not get a hint whether was possible to pass it or not. I am just saying this to let you know I tried to search for the answer before asking. Again thank you for the help.
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PRAW VS redditwarp - a user suggested alternative
2 projects | 21 Jun 2023
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Migrating subreddits to Lemmy communities
To get the relevant IDs, you can use something like PRAW to query the subreddit for the top 1000 posts for example.
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Reddit Comment Nuke: A Python script to edit and save your Reddit comment history en masse
Huge thanks to the contributors to PRAW, which is the Python package that does all the heavy lifting relating to Reddit's API that I need for this script.
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Why does PRAW's stream_generator() use a BoundedSet limit of 301?
However, in practice duplicate items were yielded with these smaller numbers. So I increased the limit briefly to 250 in October 2016, and then increased it finally to 301 in December 2016 in order to resolve https://github.com/praw-dev/praw/issues/673. That issue provides an explanation for how 301 came to be.
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is there a list of http status code which reddit api returns?
Why? You gotta be ready for any status code. Even 777.
What are some alternatives?
PyMesh - Geometry Processing Library for Python
asyncpraw - Async PRAW, an abbreviation for "Asynchronous Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
xeus - Implementation of the Jupyter kernel protocol in C++
Pushshift API - Pushshift API
tfgo - Tensorflow + Go, the gopher way
pmaw - A multithread Pushshift.io API Wrapper for reddit.com comment and submission searches.
windows-telemetry-blocklist - Blocks outgoing Windows telemetry, compatible with Pi-Hole.
boto3 - AWS SDK for Python
decimal - Arbitrary-precision fixed-point decimal numbers in Go
Telethon - Pure Python 3 MTProto API Telegram client library, for bots too!
apd - Arbitrary-precision decimals for Go
django-wordpress - WordPress models and views for Django.