R Open-dLLM: Open Diffusion Large Language Models

the most open release of a diffusion-based large language model to date —

including pretraining, evaluation, inference, and checkpoints.

code: https://github.com/pengzhangzhi/Open-dLLM

/r/MachineLearning
https://redd.it/1otpj7v

Django Roadmap (Web Dev)

Is there a site or something, where I can a roadmap? I prefer something like this so I know what to learn after the other. Thank you!

/r/djangolearning
https://redd.it/1opp3jz

Django Rich Text with i18n

Hi all.

Right now I am building my personal multi language blog website, with Django as Backend.

I am actively looking for something like RichText in Rails for posts, but as for now with no luck.
What I need is minimalistic text editor with Bold, Italic, maybe list options AND important thing - feature to add picture in the text with captions below these pictures.
There will be only one author -- me =)
So, nothing special on top of that. Simple is better.

I am fairly new to Django, so right now I am somewhat confused -- there are things like CKeditor, but they are expensive, and to be honest -- there is no clear way how to setup them with i18n.

Do you have any suggestions what should I look for, preferably easy to setup and use?

Many thanks in advance!



/r/django
https://redd.it/1ottmbd

D Choosing a thesis topic in ML

I am at the stage where I have to decide my undergraduate thesis problem statement to work on in the next semester. To those who've had their undergraduate/master's thesis in ML, how did you decide to work on that statement?

Did you start by looking at datasets first and then build your problem around it? Or did you look at existing problems in some framework and try to fix them? Or did you just let your academic guide give you a statement? Or something entirely different?

I'm more inclined towards Computer Vision but open to other ML fields as well, so any suggestions on how to look for a problem statement are most welcome.

Thanks!

/r/MachineLearning
https://redd.it/1ou2s9x

Migrating django heroku to vps

I have an ecom website whose server is hosted on heroku. Django server on web dyno + celery on worker dyno+ meilisearch on another dyno.
As the traffic grew, it now requires Standard 1X for dynos which is like 25 usd per dynos.
I wanted to migrate to some good VPS. Any recommendations like Hostingers Vps is cheap.


/r/django
https://redd.it/1otzz23

A collection of type-safe, async friendly, and unopinionated enhancements to SQLAlchemy Core

Project link: https://github.com/sayanarijit/sqla-fancy-core

## Why?

- ORMs are magical, but it's not always a feature. Sometimes, we crave for familiar.
- SQLAlchemy Core is powerful but table.c.column breaks static type checking and has runtime overhead. This library provides a better way to define tables while keeping all of SQLAlchemy's flexibility. See Table Factory.
- The idea of sessions can feel too magical and opinionated. This library removes the magic and opinions and takes you to back to familiar transactions's territory, providing multiple un-opinionated APIs to deal with it. See Wrappers and Decorators.

## Demos:

- FastAPI - sqla-fancy-core example app.

## Target audience

Production. For folks who prefer query maker over ORM, looking for a robust sync/async driver integration, wanting to keep code readable and secure.

## Comparison with other projects:

Peewee: No type hints. Also, no official async support.

Piccolo: Tight integration with drivers. Very opinionated. Not as flexible or mature as sqlalchemy core.

Pypika: Doesn’t prevent sql injection by default. Hence, can be considered insecure.

/r/Python
https://redd.it/1otx8aa

Can't get Flask-JWT-Extended to set cookies with token properly (help appreciated)

Hi, y'all!
I am struggling with a semi-private project with JWT authentication.

This is the flask login route:

@bp.route("/auth/login", methods="POST")
@crossorigin(
origins=["http://localhost:5173"],
supportscredentials=True,
)
def login():
loginusername = request.json.get("username", None)
loginpassword = request.json.get("password", None)
dbuser = User.query.filterby(email=loginusername).oneornone()
if not dbuser or not dbuser.checkpassword(loginpassword):
app.logger.warning(f"Failed login attempt for {loginusername}")
return jsonify({"error": "Invalid credentials"}), 401

response = jsonify(
{
"msg": "login successful",
"userdata": {


/r/flask
https://redd.it/1ou730g

Need help don't know what to do

I need to learn a basic level of Django and
Don't know what source to follow I have a project to be done by next 45days
Please can anyone share me a course on udemy or something 😭

/r/djangolearning
https://redd.it/1ouflpy

Decorators are great!

After a long, long time trying to wrap my head around decorators, I am using them more and more. I'm not suggesting I fully grasp metaprogramming in principle, but I'm really digging on decorators, and I'm finding them especially useful with UI callbacks.

I know a lot of folks don't like using decorators; for me, they've always been difficult to understand. Do you use decorators? If you understand how they work but don't, why not?

/r/Python
https://redd.it/1oubbk3

I need help with calculated fields.

I've done a lot of research, but I'm currently overwhelmed. The calculations I need to do are actually simple, such as: how many units of a product are in stock, how many orders exist for that product, or how many items were shipped in an order and how many are remaining. I'm developing an app that handles these calculations, but I'm unsure of the best way to implement these calculated fields. Should I use property, signals, or another method? I feel overwhelmed and lost. I would really appreciate it if you could explain the logic behind this and the correct approach, or provide some example code for similar operations.

/r/django
https://redd.it/1oub9fl

Handling Shared Django Libs? Requirements / Cloning / Submodule / Subtree - What do you do?

I've got a couple shared 'apps', that I share among most Django projects I write (but not all). They are both private repos, so they require ssh to clone down.

One handles some auth related stuff (and holds some templating stuff)

One handles things related to another database (models for the most part)

I've gone over this about a dozen times trying to figure out the "best" way to incorporate those apps into various projects.

I'm curious what the community has to say about it, or what ideas you guys might have for how you handle things like this. I figure there are 4 main options:

1. Include it in requirements (how I currently do things)
Make it an installable lib and just put it in your projects requirements.
It works but it's a pain in the rear anytime you want to update / change the external lib. There are additional hoops you have to jump through in order to do it that are kind of clunky/painful.
2. Clone the repo into the project (how I previously did things)
Just clone your project, then clone in the repo.
It's nice because you can just

/r/django
https://redd.it/1oton6p

A Python 2.7 to 3.14 conversion. Existential angst.

A bit of very large technical debt has just reached its balloon payment.

An absolutely 100% mission-critical, it's-where-the-money-comes-in Django backend is still on Python 2.7, and that's become unacceptable. It falls to me to convert it to running on Python 3.14 (along with the various package upgrades required).

At last count, it's about 32,000 lines of code.

I know much of what I must do, but I am looking for any suggestions to help make the process somewhat less painful. Anyone been through this kind of conversion have any interesting tips? (I know it's going to be painful, but the less the better.)

/r/Python
https://redd.it/1ouihlq

Simple Resume: Generate PDF, HTML, and LaTeX resumes from a simple YAML config file

Github: https://github.com/athola/simple-resume

This is a solved problem but I figured I'd implement a resume generation tool with a bit more flexibility and customization available vs the makefile/shell options I found and the out-of-date python projects available in the same realm. It would be awesome to get some other users to check it out and provide critical feedback to improve the tool for the open source community to make simple and elegant resumes without having to pay for it through a resume generation site.

What My Project Does:

This is a CLI tool which allows for defining resume content in a single YAML file and then generating PDF, HTML, or LaTeX rendered resumes from it. The idea is to write the configuration once, then be able to render it in a variety of different iterations.

Target Audience:

Jobseekers, students, academia

Comparison:

pyresume generates latex, has not been updated in 8 years

resume-parser appears to be out of date as well, 5 years since most recent update

resume-markdown has been recently updated and closely matches the goals of this project; there are some differentiators between resume-markdown and this project from a ease of use perspective where the default CSS/HTML doesn't require much modification to output a nice looking resume out of

/r/Python
https://redd.it/1ouxq8q

Webcam Rubik's Cube Solver GUI App PySide6 / OpenGL / OpenCV

# Background

This toy-project started as a self-challenge to see if I could build an application that uses the webcam and some foundational computer vision techniques to detect the state of a scrambled Rubik's cube and then show the solution steps to the user.

# Target Audience

As it is a toy-project it is mainly meant for casual use by those who are curious or it serves as an example project for students trying to learn computer vision and/or graphics programming.

# Comparison

I have seen a few projects on GitHub that implement a Rubik's cube facelet detection pipeline but they seem to fall short of actually solving the cube and show the solution to the user. I have also seen a few android solver apps but those don't seem to have a way to auto detect the state of the cube using your phone camera and you need to manually set the state.

# Installation and Usage

git clone https://github.com/pdadhikary/rubiksolver.git

cd rubiksolver

uv sync

uv run rubiksolver

When scanning their Rubik's cube the user should hold up each face of the cube

/r/Python
https://redd.it/1ouwa42

Can I create PDF infographics/reports using Python?

I have a python script that does data scrapping and whatnot to output data into a CSV file. I'd love to know which packages I can use to printout professional graphics and charts and output the data into nice layouts to export it as a PDF on my computer. Any suggestions? I used ChatGPT and it used the basic Matplotlib, but I am wondering what is the best way I can go about creating something like this:

https://cdn.venngage.com/template/thumbnail/small/f7c94e39-a01c-4bba-934c-52bd9330525a.webp






https://cdn.venngage.com/template/thumbnail/small/f7c94e39-a01c-4bba-934c-52bd9330525a.webp

/r/Python
https://redd.it/1our6fw

Question I'm new

I am doing a project that uses Django rest and vite for the front, I was making a request and it had to send the credentials, cookies or section-id, issue despite doing the configuration of the cords
Front at localhost:8000
Back at 172.0.10... the typical
It didn't work for me, error 400 I think it was
I fixed it by making Back Django serve on the same local host but with a different port.
Is it normal in development to do this? Or I ruined something because I read that the AI ​​didn't help me and neither did it.
I must have explained myself poorly, I'm sure sorry.

/r/djangolearning
https://redd.it/1ouud8w

autopyperf — A tiny Python profiler that gives instant optimization tips

Hey everyone,

I made **autopyperf**, a lightweight Python module that automatically profiles your code and suggests quick optimizations — no setup, no dependencies, just pure Python.

# 🧩 What It Does

autopyperf helps you understand where your code slows down and gives small static suggestions to make it faster.

* ⏱️ Profile functions with a decorator
* 🧮 Analyze whole scripts easily
* 💡 Get simple optimization hints

Example:

from autopyperf import profile_function, profile_script, suggest_optimizations

u/profile_function
def slow_func():
return [i**2 for i in range(100000)]

slow_func()
profile_script("test.py")
suggest_optimizations("test.py")

# 🎯 Target Audience

Made for developers, students, and hobbyists who want quick feedback on code performance without using heavy profilers like `cProfile` or `pyinstrument`.
It’s simple, educational, and perfect for small projects or quick checks.

# ⚖️ How It’s Different

* ✅ No dependencies
* ✅ Dead-simple setup
* 💡 Adds optimization suggestions (something most profilers don’t)
* ❌ No complex graphs or visualizations — intentionally minimal

# ⚙️ Install

pip install autopyperf

or directly:

pip install git+https://github.com/Ithihasmadhu/autopyperf

🔗 **GitHub:** [https://github.com/Ithihasmadhu/autopyperf](https://github.com/Ithihasmadhu/autopyperf)

/r/Python
https://redd.it/1ovghpg

Can't use socketIO with a reverse proxy

Hi, has anyone worked with socketio using a reverse proxy? I can't find the correct configuration to do it, this is how I'm using it

main.py:

socketio = SocketIO(app, cors_allowed_origins="*")


web.config:

<rule name="ChatBot Port 5001">

<match url="\^example/(.*)" />

<action type="Rewrite" url="http://localhost:5001/{R:1}" />

</rule>

<rule name="ChatBot WebSocket" stopProcessing="true">

<match url="\^example/socket.io/(.*)" />

<action type="Rewrite" url="http://localhost:5001/example/socket.io/{R:1}" />

</rule>


JS:

<script>var socket = io();</script>

/r/flask
https://redd.it/1ovc82j

R LeJEPA: New Yann Lecun paper

Abstract: Learning manipulable representations of the world and its dynamics is central to AI. Joint-Embedding Predictive Architectures (JEPAs) offer a promising blueprint, but lack of practical guidance and theory has led to ad - hoc R&D. We present a comprehensive theory of JEPAs and instantiate it in LeJEPA, a lean, scalable, and theoretically grounded training objective. First, we identify the isotropic Gaussian as the optimal distribution that JEPAs’ embeddings should follow to minimize downstream prediction risk. Second, we introduce a novel objective–Sketched Isotropic Gaussian Regularization (SIGReg)–to constrain embeddings to reach that ideal distribution. Combining the JEPA predictive loss with SIGReg yields LeJEPA with numerous theoretical and practical benefits: (i) single trade - off hyperparameter, (ii) linear time and memory complexity, (iii) stability across hyper-parameters, architectures (ResNets, ViTs, ConvNets) and domains, (iv) heuristics-free, e.g., no stop -gradient, no teacher–student, no hyper-parameter schedulers, and (v) distributed training-friendly implementation requiring only ≈50 lines of code. Our empirical validation covers 10+ datasets, 60+ architectures, all with varying scales and domains. As an example, using imagenet-1k for pretraining and linear evaluation with frozen backbone, LeJEPA reaches 79% with a ViT-H/14. We hope that the simplicity and theory-friendly ecosystem offered by LeJEPA will reestablish self-supervised pre-training

/r/MachineLearning
https://redd.it/1ovm4fd

Thursday Daily Thread: Python Careers, Courses, and Furthering Education!

# Weekly Thread: Professional Use, Jobs, and Education 🏢

Welcome to this week's discussion on Python in the professional world! This is your spot to talk about job hunting, career growth, and educational resources in Python. Please note, this thread is not for recruitment.

---

## How it Works:

1. Career Talk: Discuss using Python in your job, or the job market for Python roles.
2. Education Q&A: Ask or answer questions about Python courses, certifications, and educational resources.
3. Workplace Chat: Share your experiences, challenges, or success stories about using Python professionally.

---

## Guidelines:

- This thread is not for recruitment. For job postings, please see r/PythonJobs or the recruitment thread in the sidebar.
- Keep discussions relevant to Python in the professional and educational context.

---

## Example Topics:

1. Career Paths: What kinds of roles are out there for Python developers?
2. Certifications: Are Python certifications worth it?
3. Course Recommendations: Any good advanced Python courses to recommend?
4. Workplace Tools: What Python libraries are indispensable in your professional work?
5. Interview Tips: What types of Python questions are commonly asked in interviews?

---

Let's help each other grow in our careers and education. Happy discussing! 🌟

/r/Python
https://redd.it/1ovlxtw