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Daily Python News Question, Tips and Tricks, Best Practices on Python Programming Language Find more reddit channels over at @r_channels
News Tulu 3 model performing better than 4o and Deepseek?
Has anyone used this model released by the Allen Institute for AI on Thursday? It seems to outperform 4o and DeepSeek in a lot of places, but for some reason there's been little to no coverage. Thoughts?
https://www.marktechpost.com/2025/01/31/the-allen-institute-for-ai-ai2-releases-tulu-3-405b-scaling-open-weight-post-training-with-reinforcement-learning-from-verifiable-rewards-rlvr-to-surpass-deepseek-v3-and-gpt-4o-in-key-benchmarks/
/r/MachineLearning
https://redd.it/1ifetmm
Automation Framework for Python
What My Project Does
Basically I was making a lot of automations for my clients and developed a toolset that i am using for most of my automation projects.
It is on Python + Playwright (for ui browser automation) + requests (covered with base modules for API automation) + DB module. I believe it maybe useful for someone of you, and I’ll appreciate your stars/comments/pull-requests:
https://github.com/eshut/Inject-Framework
I understand it may be very «specialized» thing for someone, but if you need to automate something like website or api - it makes the solution structured and fast.
Feel free to ask your questions.
Target Audience
Anyone who is looking for software automation on Python for websites or some API
Comparison
I believe there are similar libraries on Typescript as codecept and maybe something similar on python , but usually it is project specific
/r/Python
https://redd.it/1if6nk0
Add Login and Logout in Django
In this post, we’re setting up Login & Logout functionality, building forms, and using Django authentication & CSRF tokens.
Blog Link : [Add Login and Logout in Django – Simple Guide](https://django-learning.hashnode.dev/add-login-and-logout-in-django-simple-guide)
In the last blog, we built a Django template.
Previous Blog Link : Django Templates Explained: A Guide to Dynamic Web Pages
Give it a read and let me know your thoughts in the comments! 💬 Your feedback helps me make these guides even better! 😊
/r/django
https://redd.it/1if2uam
D Monthly Who's Hiring and Who wants to be Hired?
For Job Postings please use this template
>Hiring: [Location\], Salary:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] and [Brief overview, what you're looking for\]
For Those looking for jobs please use this template
>Want to be Hired: [Location\], Salary Expectation:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] Resume: [Link to resume\] and [Brief overview, what you're looking for\]
​
Please remember that this community is geared towards those with experience.
/r/MachineLearning
https://redd.it/1ie5qoh
Tutorials with good frontend
What are some good Flask tutorials that actually have good frontend UI?
I'm wanting to follow along with a tutorial that gets more in depth into an actual real use case instead of just a simple form
/r/flask
https://redd.it/1ie1kw4
Start project with wagtail? or integrate wagtail into existing django app?
I'm transitioning from the JavaScript world and planning a new app with Django. I need admin users to frequently insert content using a CMS like Wagtail. The app will include several marketing pages, an e-commerce checkout, and a delivery system for digital content. What’s the best way to structure this with Wagtail?
/r/django
https://redd.it/1ierzj2
Saturday Daily Thread: Resource Request and Sharing! Daily Thread
# Weekly Thread: Resource Request and Sharing 📚
Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!
## How it Works:
1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.
## Guidelines:
Please include the type of resource (e.g., book, video, article) and the topic.
Always be respectful when reviewing someone else's shared resource.
## Example Shares:
1. Book: "Fluent Python" \- Great for understanding Pythonic idioms.
2. Video: Python Data Structures \- Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators \- A deep dive into decorators.
## Example Requests:
1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.
Share the knowledge, enrich the community. Happy learning! 🌟
/r/Python
https://redd.it/1ietb0n
Create an Adaptive Customer Behavior Analytics Dashboard with Claude AI and Python Flask
https://blog.adnansiddiqi.me/create-an-adaptive-customer-behavior-analytics-dashboard-with-claude-ai-and-python/
/r/flask
https://redd.it/1iebp3h
What do you guys use for re-usable components in front end?
Been googling about this and I hear about Jinjax, Htpy, etc. but im not familiar with any of them.
What do you guys use to create re-usable components in your flask app.
/r/flask
https://redd.it/1ieava0
Why Rust has so much marketing power ?
Ruff, uv and Polars presents themselves as fast tools writter in Rust.
It seems to me that "written in Rust" is used as a marketing argument. It's supposed to mean, it's fast because it's written in Rust.
These tools could have been as fast if they were written in C. Rust merely allow the developpers to write programms faster than if they wrote it in C or is there something I don't get ?
/r/Python
https://redd.it/1iebmjp
Pytorch deprecatea official Anaconda channel
They recommend downloading pre-built wheels from their website or using PyPI.
https://github.com/pytorch/pytorch/issues/138506
/r/Python
https://redd.it/1idsbj7
Where to host online teaching platform that will have 5,000+ users simultaniously?
currently I have 2,000+ students that I teach on dedicated facebook groups where they watch video-lessons. I want to build a website with django. Video content will be hosted on Vimeo and embedded into my website (that seems like simple solution).
I'm considering options on where to deploy this web app. Will render or railway handlethis amount of users clicking and watching videos simultaniously? Do I need something more powerful like Digital ocean or aws services?
/r/django
https://redd.it/1ie01kc
d Why is "knowledge distillation" now suddenly being labelled as theft?
We all know that distillation is a way to approximate a more accurate transformation. But we also know that that's also where the entire idea ends.
What's even wrong about distillation? The entire fact that "knowledge" is learnt from mimicing the outputs make 0 sense to me. Of course, by keeping the inputs and outputs same, we're trying to approximate a similar transformation function, but that doesn't actually mean that it does. I don't understand how this is labelled as theft, especially when the entire architecture and the methods of training are different.
/r/MachineLearning
https://redd.it/1idjtta
PSA: PyPI now supports project archival
From the PyPI blog: https://blog.pypi.org/posts/2025-01-30-archival/
> Support for marking projects as archived has landed on PyPI. Maintainers can now archive a project to let users know that the project is not expected to receive any more updates.
> This allows users to make better decisions about which packages they depend on, especially regarding supply-chain security, since archived projects clearly signal that no future security fixes or maintenance should be expected.
> Project archival is not deletion: archiving a project does not remove it from the index, and does not prevent users from installing it. Archival is purely a user-controlled marker that gives project owners the ability to signal a project’s status; PyPI has no plans to delete or prune archived distributions.
> Support for archival is built on top of the project quarantine feature. Read more about that feature in PyPI’s December 2024 blog post. You can also find more details about the project archival’s implementation on the Trail of Bits blog.
/r/Python
https://redd.it/1idv6ql
No Hype DeepSeek-R1 Reading List
Over the past \~1.5 years I've been running a research paper club where we dive into interesting/foundational papers in AI/ML. So we naturally have come across a lot of the papers that lead up to DeepSeek-R1. While diving into the DeepSeek papers this week, I decided to compile a list of papers that we've already gone over or I think would be good background reading to get a bigger picture of what's going on under the hood of DeepSeek.
Grab a cup of coffee and enjoy!
https://www.oxen.ai/blog/no-hype-deepseek-r1-reading-list
/r/MachineLearning
https://redd.it/1ideupn
Customize Inline Model Position in Django Admin
Hello everyone!
A few days ago, I ran into an issue while working on one of my projects—a university course selection system. The problem was how to change the placement of inline models.
By default, Django places them at the bottom of the page, but I wanted to position them wherever I needed.
After extensive searching and using AI tools, I couldn’t find a solution. So, I decided to figure it out myself—and finally, I found the answer!
I talked about it in detail on my YouTube channel and shared the final solution in a tutorial.
Hope you find it helpful!
Watch the video here :
https://youtu.be/utUuwUj67oc?si=3MV74_pDHL6PoEkp
/r/django
https://redd.it/1ifhjwj
Suggest me free Flask course or tutorial
I've learned Python fundamentals and frontend. Now I want to start learning Flask for backend.
I've tried Miguel Grinberg's course. But I failed to understand.
Can you guys suggest me some other good Flask courses or tutorials that start from beginner topics and cover advanced topics?
/r/flask
https://redd.it/1if5x86
Introducing Kreuzberg: A Simple, Modern Library for PDF and Document Text Extraction in Python
Hey folks! I recently created Kreuzberg, a Python library that makes text extraction from PDFs and other documents simple and hassle-free.
I built this while working on a RAG system and found that existing solutions either required expensive API calls were overly complex for my text extraction needs, or involved large docker images and complex deployments.
Key Features:
- Modern Python with async support and type hints
- Extract text from PDFs (both searchable and scanned), images, and office documents
- Local processing - no API calls needed
- Lightweight - no GPU requirements
- Extensive error handling for easy debugging
## Target Audience:
This library is perfect for developers working on RAG systems, document processing pipelines, or anyone needing reliable text extraction without the complexity of commercial APIs. It's designed to be simple to use while handling a wide range of document formats.
```python
from kreuzberg import extract_bytes, extract_file
# Extract text from a PDF file
async def extract_pdf():
result = await extract_file("document.pdf")
print(f"Extracted text: {result.content}")
print(f"Output mime type: {result.mime_type}")
# Extract text from an image
async def extract_image():
result = await extract_file("scan.png")
print(f"Extracted text: {result.content}")
# Or extract from a byte string
# Extract text from PDF
/r/Python
https://redd.it/1if3axy
My First Python code on NFL Data Visualization
I’m excited to share with you my first Python code: **Football Tracking Data Visualization**. As someone passionate about both programming and sports—especially the NFL—this project has allowed me to combine these interests and dive into real-time data analysis and visualization.
# 🔍 What is the project about?
This repository uses football player tracking data, collected through the NFL Big Data Bowl, to create interactive visualizations. The project allows us to see player movements during plays, interpret stats, and observe player interactions on the field. 🎯
# 🛠 What technologies and tools did I use?
* **Python**: The core of the project, used for data processing and creating visualizations.
* **Pandas and NumPy**: For data manipulation and analysis.
* **Matplotlib and Seaborn**: For creating detailed plots.
* **Plotly**: For interactive visualizations.
* **Jupyter Notebooks**: As the development environment.
# 📊 What can you find in this repository?
1. **Play visualizations on the field**: Watch players move on the field in real-time!
2. **Interactive statistics**: Analysis of plays and key player stats.
3. **Team performance**: Insight into team strategies based on the data from each game.
# [https://github.com/Sir-Winlix/Football-Tracking-Visualization](https://github.com/Sir-Winlix/Football-Tracking-Visualization)
/r/Python
https://redd.it/1ieq2sn
Running a Python flask app 24/7 on a cloud server
I have a Python flask web application that takes the data from a shopify webhook and appends rows to Google sheet. Since it is a webhook, I want it to be running 24/7 as customers can place orders round the clock. I have tested it on my local machine and the code works fine but since then, I have tested it on Render, Railway.app and Pythonanywhere and none of those servers are working with the webhook data or are running 24/7. How can I run the app 24/7 on a cloud server?
The code runs fine on Railway.app and Render and authenticates the OAuth but when the webhooks is tested, it does not generate any response and moreover the app stops running after a while.
I tested the same app on my local machine using ngrok and every time a new order is placed, it does generate the expected results (adds rows to Google sheet).
/r/flask
https://redd.it/1iev22o
I made LLMs work like scikit-learn
Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results.
High-Level Concept FlowYour Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps
Installation:pip install flashlearn
Learning a New “Skill” from Sample Data
Like a fit/predict pattern from scikit-learn, you can quickly “learn” a custom skill from minimal (or no!) data. Below, we’ll create a skill that evaluates the likelihood of buying a product from user comments on social media posts, returning a score (1–100) and a short reason. We’ll use a small dataset of comments and instruct the LLM to transform each comment according to our custom specification.
>from flashlearn.skills.learn_skill import LearnSkill
>from flashlearn.client import OpenAI
>
>\# Instantiate your pipeline “estimator” or “transformer”, similar to a scikit-learn model
>learner = LearnSkill(model_name="gpt-4o-mini", client=OpenAI())
>data = [
>{"comment_text": "I love this product, it's everything I wanted!"},
>{"comment_text": "Not impressed... wouldn't consider buying this."},
>\# ...
>\]
>
>\# Provide instructions and
/r/Python
https://redd.it/1iegszm
Michael Foord has passed away recently
Hi folks,
I'm not sure I saw anything about it on the sub so forgive me if that's the case.
Michael was a singular voice in the Python community, always fighting to help people see things from a different direction. His passion was radiating. He'll be missed.
Here is a beautiful message from Nicholas H.Tollervey.
/r/Python
https://redd.it/1iern75
Trending Django apps in January
https://django.wtf/trending/?trending=30
/r/django
https://redd.it/1ieg0sz
Concerned about django forms
have doubts about the forms of diango, specifically, I do not like the fact that you have to mix the presentation logic to the validation logic, also because it would violate SRP, however to do certain things, the cleaner solution seems this. For example, if I want to place placeholders on a form in an automatic way (without rendering each field individually in the template) I must necessarily put the logic or in the form or in the view, and frankly the cleaner solution seems to me to put it in the form, However, as I said above, it does not seem to me the maximum of the solutions, I seek suggestions.
/r/django
https://redd.it/1ie9oxf
Share Your Django Projects you worked on
Hey,
Share the kind of Django projects you worked on, whether they're personal projects or office projects. It would help people.
/r/django
https://redd.it/1iebnkj
Re-evaluating my Django project
Last week I posted about my Django project but couldn’t get a honest review because of load time & speed problems. The problem has been fixed and I’m here to get another review.
The project: www.vastvids.com
Description: social media platform with a full marketing background implemented!
Tech stack:
Python, Django, CSS, HTML, JAVASCRIPT, AJAX
3rd party services used:
GitHub, Heroku, Namecheap, AWS, PayPal, Google Mail
/r/django
https://redd.it/1ie6o0o
Friday Daily Thread: r/Python Meta and Free-Talk Fridays
# Weekly Thread: Meta Discussions and Free Talk Friday 🎙️
Welcome to Free Talk Friday on /r/Python! This is the place to discuss the r/Python community (meta discussions), Python news, projects, or anything else Python-related!
## How it Works:
1. Open Mic: Share your thoughts, questions, or anything you'd like related to Python or the community.
2. Community Pulse: Discuss what you feel is working well or what could be improved in the /r/python community.
3. News & Updates: Keep up-to-date with the latest in Python and share any news you find interesting.
## Guidelines:
All topics should be related to Python or the /r/python community.
Be respectful and follow Reddit's Code of Conduct.
## Example Topics:
1. New Python Release: What do you think about the new features in Python 3.11?
2. Community Events: Any Python meetups or webinars coming up?
3. Learning Resources: Found a great Python tutorial? Share it here!
4. Job Market: How has Python impacted your career?
5. Hot Takes: Got a controversial Python opinion? Let's hear it!
6. Community Ideas: Something you'd like to see us do? tell us.
Let's keep the conversation going. Happy discussing! 🌟
/r/Python
https://redd.it/1ie1jei
DjangoNinja specific community
Hey folks, I just created this https://www.reddit.com/r/DjangoNinja/ if others are building on django-ninja.
/r/django
https://redd.it/1idwwdh
The creators of ruff and uv are building a new static type checker for Python
Quoting this post on X:
> We’re building a new static type checker for Python, from scratch, in Rust.
> From a technical perspective, it’s probably our most ambitious project yet. We’re about 800 PRs deep!
> Like Ruff and uv, there will be a significant focus on performance.
> The entire system is designed to be highly incremental so that it can eventually power a language server (e.g., only re-analyze affected files on code change).
> Performance is just one of many goals, though.
> For example: we're investing heavily in strong theoretical foundations and a consistent model of Python's typing semantics.
> (We're lucky to have @carljm and @AlexWaygood on the team for many reasons, this is one of them.)
> Another goal: minimizing false positives, especially on untyped code, to make it easier for projects to adopt a type checker and expand coverage gradually over time, without being swamped in bogus type errors from the start.
> Warning: this project is not ready for real-world user testing, and certainly not for production use (yet). The core architecture is there, but we're still lacking support for some critical features.
> Right now, I'd only recommend trying it out if you're looking to contribute.
> For now, we're working towards
/r/Python
https://redd.it/1idk4ko
How to manage multiple files from multiple users?
So I have a server which takes files from the user, process it and return the processed files back to the user.
For example, a user uploads 2 files, server process that 2 files and returns 2 new files back.
Now if there are 10 users using the application at the same time, sending 2 files each, how to make sure that they get back their respective files??
Edit:
One way i can think if is using unique id to store each files in a separate directory or something of sort but is there any more efficient way to achieve this as i need to scale this application to atleast handle 1000 users at a time
/r/flask
https://redd.it/1ibwpqu