root
Django
root | Django | |
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31 | 486 | |
2,430 | 77,104 | |
1.5% | 1.0% | |
10.0 | 9.8 | |
2 days ago | 6 days ago | |
C++ | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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
Django
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AutoCodeRover resolves 22% of real-world GitHub in SWE-bench lite
>As an example, AutoCodeRover successfully fixed issue #32347 of Django.
This bug was fixed three years ago in a one-line change.[0] Presumably the fix was already in the training data.
[0] https://github.com/django/django/pull/13933
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An Introduction to Testing with Django for Python
You should not test Django's own code — it's already been tested. For example, you don't need to write a test that checks if an object is retrieved with get_object_or_404 — Django's testing suite already has that covered.
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Django Hello, World
Django is a high-level Python web framework that prioritizes rapid development with clear, reusable code. Its batteries-included approach supplies most of what you need for complex database-driven websites without turning to external libraries and dealing with security and maintenance risks. In this tutorial, we will build a traditional "Hello, World" application while introducing you to the core concepts behind Django.
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Where can I create a website for free (no domain needed, basic server hosting, not something like Wix)
If you want to get into Python web development then Django can be a good place to start. https://www.djangoproject.com/
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I like this docstring from django source code
If found this:
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No changes detected with MAKEMIGRATION command after moving to new DataBase
Django's auth and session migration files are included with Django at https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/auth/migrations and https://github.com/django/django/tree/b287af5dc954628d4b336aefc5027b2edceee64b/django/contrib/sessions/migrations
- What should I learn
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The DevRel Digest November 2023: DevRel You Should Know Part One and Why I Will Never, Ever Leave Developer Relations
Dawn Wages’ name came up a few times in my call for nominations, and it’s easy to see why! Dawn is a Python Community Advocate at Microsoft. She is active in the Django community with an emphasis on people of color and queer people in tech. Dawn’s impressive resume includes OSS maintainer, member of the Wagtail Core Team, DjangoCon '21, '22, '23 Sponsorship Chair, volunteer for Django Girls, and DjangoCon Africa 2021 Sponsorship Chair.
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CodeCraze🚀 - create your own blog in Django | Part 0 | Project Setup
In this Article, we create our own blog called CodeCraze using Django, a popular web framework written in python. Django is designed to help developers to rapidly build their web applications from concept to completion in an efficient way. Its a batteries included framework which provides out of the box functionalities such as ORM, API Integration, authentication, form handling & many more...
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Implementing Role-Based Access Control in Django
There are many models of access control, however, in this guide, we are going to focus on Role Based Access Control (RBAC) and how to implement it in Django.
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