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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
How can I crat a heartbeat type thread in Flask-MQTT
EDIT: crat s/b create
I have a working flask-MQQT app. But I want it to have a background thread always running that can check and react to outside events, such as broker on other machine is disconnected or a GPIO pin is high/low on the host Raspberry Pi.
I just want this thread to work full time and have it's own sleep(n) step. i would like it to be able to call functions in he main program.
Is this possible? Or..... Any suggestions?
/r/flask
https://redd.it/1l5oze2
Topographic Map to 3D Model Converter
What my project does
Takes an image of a topographic map and converts it into a .obj model.
Target audience
This is a pretty simple project with a lot of room to grow, so I'd say this is more of a beginner project seeing as how little time it took to produce.
Comparison I created this project because I couldn't really find anything else like it, so I'm not sure there is another project that does the same thing (at least, not one that I have found yet).
I created this for my Social Studies class, where I needed to have a 3D model of Israel and the Gaza strip. I plan on reusing this for future assignments as well.
However, it is kind of unfinished. As of posting this, any text in the map will be flipped on the final model, I don't have a way to upload the model to SketchFab (which is what you need in order to embed a 3D model viewer on a website), and a few other quality of life things that I'd like to implement.
But hey, I thought it turned out decently, so here is the repo:
https://github.com/dastarruer/terrain-obj
/r/Python
https://redd.it/1l5p78h
Closing the gap: strict CSP in the Django world | Wagtail CMS
https://wagtail.org/blog/closing-the-gap-strict-csp-compatibility/
/r/django
https://redd.it/1l4dbi8
A simple file-sharing app built in Python with GUI, host discovery, drag-and-drop.
Hi everyone! 👋
This is a Python-based file sharing app I built as a weekend project.
**What My Project Does**
* Simple GUI for sending and receiving files over a local network
* Sender side:
* Auto-host discovery (or manual IP input)
* Transfer status, drag-and-drop file support, and file integrity check using hashes
* Receiver side:
* Set a listening port and destination folder to receive files
* Supports multiple file transfers, works across machines (even VMs with some tweaks)
**Target Audience**
This is mainly a **learning-focused, hobby project** and is ideal for:
* Beginners learning networking with Python
* People who want to understand sockets, GUI integration, and file transfers
It's not meant for production, but the logic is clean and it’s a great foundation to build on.
**Comparison**
There are plenty of file transfer tools like Snapdrop, LAN Share, and FTP servers. This app differs by:
* Being **pure Python**, no setup or third-party dependencies
* Teaching-oriented — **great for learning sockets, GUIs, and local networking**
Built using **socket**, **tkinter**, and standard Python libraries. Some parts were tricky (like VM discovery), but I learned a lot along the way. Built this mostly using GitHub Copilot + debugging manually - had a lot of fun in doing so.
🔗
/r/Python
https://redd.it/1l5bjyr
Why Django?
No seriously (purely an educational post since idrk).
If you want to do enterprise -> spring boot
If you want to microservice -> Golang backend frameworks
If you want to do prototypes -> Fastapi
If you want to do a startup level scheme -> Supabase auth or wtv + flask
So why django?
/r/django
https://redd.it/1l57obn
HttpOnly cookies in Django and React
Has anyone implemented JWT authentication using HttpOnly cookies in Django and React ? Are there any resources or videos that can help.
/r/django
https://redd.it/1l4vd6f
Want to Speed Up My Web Dev Process Without Losing the Learning
I’ve been developing apps with Django for about a year now. I’m mostly self-taught and would say I’m pretty decent with it, especially on the backend. I usually rely on AI or online templates for the frontend since I have very little experience with CSS.
Lately, I’ve noticed I’m really slow when building apps. For example, there’s this one app I’ve been working on since February. I feel tired and burned out, but I can’t drop it because someone is interested in it. The problem is—it’s holding me hostage. I’ve got other ideas and projects I want to start, but I feel stuck.
I want to speed up my development process without sacrificing learning. I’m aiming to really master Django deeply—not just use it, but understand how it works under the hood.
So how do you balance learning with building efficiently?
/r/django
https://redd.it/1l4pc3a
Built with Django
https://builtwithdjango.com/projects/
/r/django
https://redd.it/1l4tntt
Recent Noteworthy Package Releases
In the last 7 days, there were these big upgrades.
**scikit-learn 1.7.0**
**delta-spark 4.0.0**
**compressed-tensors v0.10.0**
**langfuse 3.0.0**
**crewai 0.126.0**
**LanceDB v0.23.0**
**opentelemetry-sdk 1.34.0**
**wandb v0.20.0**
**deepspeed v0.17.0**
**py7zr 1.0.0**
**ffmpy 0.6.0**
/r/Python
https://redd.it/1l4oy6a
Django Migration rollbacks in production
Hi everybody,
What's everyone's strategy for rolling back migrations in production? Let's assume a bug was not caught in dev or QA, and somehow made it onto production and we need to revert back to stable. How do you handle the migrations that need to be unapplied?
I know you can certainly do it the hard way of manually unapplying for each app, but I'm looking for an automated and scalable way. Thanks for your time!
/r/django
https://redd.it/1l4bk1z
Python Discord Event: Project Show-and-Tell
Python Discord (partnered with r/Python) is excited to announce our first Project Showcase event!
This will be an opportunity for members of the community to do a live show-and-tell of their Python projects in one of our stage channels. If you have a project that you're interested to present, submit it here!
Submitted projects must be written primarily in Python, must have the code in a publicly accessible place such as GitHub, and must not be monetized (excluding donations such as GitHub Sponsors).
The call for proposals will end in 2 days (8th June 04:00 UTC, subject to extension), at which time our staff will look at the submissions and decide which ones will get to present. We'll announce which proposals have been accepted in advance of the event.
The event will take place at 14 June 2025 at 15:00 UTC. We plan to hold future iterations of the event at different times to accommodate different timezones and schedules.
If you wish to demo a project or watch the event live, please make sure you have joined as a member at discord.gg/python! Not all showcases will be recorded!
/r/Python
https://redd.it/1l4c4rn
p99.chat - quickly measure and compare the performance of Python snippets in your browser
Hi, I am Adrien, co-founder of CodSpeed
We just launched p99.chat, a performance assistant in your browser that allows you to quickly measure, visualize and compare the performance of your code in your browser.
It is free to use, the code runs in the cloud, the measurements are done using the pytest-codspeed crate and our runner.
Here is example chat of comparing the performance of bubble sort and quicksort.
Let me know what you think!
/r/Python
https://redd.it/1l3zzn4
django-components v0.140 – Major API improvements, slot-aware caching, and more!
I'm happy to announce [**django-components v0.140**](https://django-components.github.io/django-components/latest/release_notes/#v01400) – our biggest step towards v1 yet! This release brings a ton of improvements, API polish, and some breaking changes, so please read on before upgrading.
We've got django-components to a point where it works really well with GenAI - in a single file you can define the page component, declare its inputs, define user views, or REST API. And to make sure the generated components work well, you can use Pydantic for input validation.
I'm yet to add a section with example to the docs, but that's where we're at.
In the meantime, here's an overview of what's new in [django-components v0.140](https://django-components.github.io/django-components/latest/release_notes/#v01400):
**Highlights:**
* **Overhauled typing system:** Component input types are now defined as class attributes, not generics. This makes your code more readable and aligns with Django’s class-based conventions.
* **Middleware removed:** No more `ComponentDependencyMiddleware`! JS and CSS dependencies are now handled automatically when rendering templates. You can control this with the new `DJC_DEPS_STRATEGY` context key.
* **Slot-aware caching:** Component caching can now (optionally) take slot content into account.
* **Slots API polished:** The slots API is now more robust, with better function signatures, escaping, and metadata. Passing slots as strings, functions, or from templates is now first-class and cache-friendly.
*
/r/django
https://redd.it/1l41xgp
Closing the gap: strict CSP in the Django world | Wagtail CMS
https://wagtail.org/blog/closing-the-gap-strict-csp-compatibility/
/r/django
https://redd.it/1l3u7dq
CBSAnalyzer - Analyze Chase Bank Statement Files
# CBS Analyzer
Hey r/Python! 👋
I just published the first release of a personal project called **CBS Analyzer.** A simple Python library that processes and analyzes Chase Bank statement PDFs. It extracts *both* transaction histories and monthly summaries and turns them into clean, analyzable pandas DataFrames.
# What My Project Does
CBS Analyzer is a fully self-contained tool that:
* Parses one or multiple **Chase** PDF statements
* Outputs structured **DataFrames** for transactions and summaries
* Lets you perform **monthly, yearly, or daily** financial analysis
* Supports exporting to **CSV, Excel, JSON, or Parquet**
* Includes built-in savings rate and cash flow analysis
# 🎯 Target Audience
This is built for:
* People who want insight into their personal finances without manual spreadsheets
* Data analysts, Python learners, or engineers automating financial workflows
* Anyone who uses Chase PDF statements and wants to track patterns
* People who want quick answers towards their financial spending rather paying online subscriptions for it.
# 🆚 Comparison
Most personal finance tools stop at CSV exports or charge monthly fees. CBS Analyzer gives you:
* True Chase PDF parsing: no manual uploads or scraping
* Clean, structured DataFrames ready for analysis or export
* Full transparency and control: all processing is local
* JPMorgan (Chase) stopped the use for
/r/Python
https://redd.it/1l3nc2u
How to efficiently combine Redis-based recommendation scoring with Django QuerySet for paginated feeds?
I'm building a marketplace app and trying to implement a personalized recommendation feed. I have a hybrid architecture question about the best way to handle this:
Current Setup:
- Django backend with PostgreSQL for product data
- Redis for user preferences, actions, and computed recommendation scores
- Celery for background recommendation generation
The Challenge:
I need to serve a paginated feed where the order is determined by Redis-based scoring (user preferences, trending items, etc), but the actual product data comes from Django models.
My Current Approach:
1. Celery task generates ordered list of product IDs based on Redis metrics
2. Cache this ordered list in Redis (e.g., [123, 456, 789, ...])
3. For each page request, slice the cached ID list
4. Use Django's Case/When to maintain the Redis-determined order:
Questions:
1. Is using Case/When with enumerate() the most efficient way to preserve Redis-determined order in Django?
2. Should I be caching the actual product data in Redis instead of just IDs?
3. Any better patterns for this Redis scoring + Django data combination?
4. How do you handle the "cold start" problem when recommendations aren't ready yet?
The feed needs to handle —10k products with real-time scoring updates. Any architecture advice or alternative approaches would be greatly appreciated!
Tech Stack: Django 4.2, Redis, Celery, PostgreSQL, DRF
/r/django
https://redd.it/1l5n3n9
Pydantic / Celery Seamless Integration
I've been looking for existing pydantic - celery integrations and found some that aren't seamless so I built on top of them and turned them into a 1 line integration.
[https://github.com/jwnwilson/celery\_pydantic](https://github.com/jwnwilson/celery_pydantic)
**What My Project Does**
* Allow you to use pydantic objects as celery task arguments
* Allow you to return pydantic objecst from celery tasks
**Target Audience**
* Anyone who wants to use pydantic with celery.
**Comparison**
* [This blog post](https://benninger.ca/posts/celery-serializer-pydantic/) is the majority of the code above, but it requires registering each model manually, which I didn't want to do.
* [Celery’s official Pydantic integration](https://docs.celeryq.dev/en/v5.5.2/userguide/tasks.html?ref=blog.dosu.dev#argument-validation-with-pydantic) only accepts plain dicts in arguments, not pydantic models. It also only returns dicts.
You can also steal this file directly if you prefer:
[https://github.com/jwnwilson/celery\_pydantic/blob/main/celery\_pydantic/serializer.py](https://github.com/jwnwilson/celery_pydantic/blob/main/celery_pydantic/serializer.py)
There are some performance improvements that can be made with better json parsers so keep that in mind if you want to use this for larger projects. Would love feedback, hope it's helpful.
/r/Python
https://redd.it/1l5m6s5
Am I dumb? Why does Flask just refuse to work?
https://preview.redd.it/obujwa5y8f5f1.png?width=387&format=png&auto=webp&s=b859848ca12288d53f574c0fa9810ed474093a36
https://preview.redd.it/rcbu2df29f5f1.png?width=645&format=png&auto=webp&s=015e5cd5b4d548e2ec6517207440ab14c3ceb6d5
https://preview.redd.it/u3fulu8k9f5f1.png?width=751&format=png&auto=webp&s=0c492372a70f2ef7bd9ffb7de7c13edba72aa643
https://preview.redd.it/gei7k73m9f5f1.png?width=652&format=png&auto=webp&s=94ec9027991c72ca0c8bb2144e78b34a173dd2f8
https://preview.redd.it/nwzgds3p9f5f1.png?width=610&format=png&auto=webp&s=6328322de11734fdfeef5f43d96bb1c3319ff124
https://preview.redd.it/7uxhip5x9f5f1.png?width=836&format=png&auto=webp&s=d82d28b7c3f6b6c43f7b2b392a8fd1906e24cead
https://preview.redd.it/n3r92vqqaf5f1.png?width=1279&format=png&auto=webp&s=416858a0d81f87fd20d325256b9e78f58ee4cc8f
I have no clue why the site doesn't display anything. Like I think the index function is just not called for some reason. i've tried putting print statements within the index function and they never print anything.
When I click on the link, nothing appears, its just perpetual loading. i've checked a trillion times that the folder has the python file and then a templates folder with index.html inside.
I've tried tutorials, I've copy pasted 1:1 programs that are meant to work, everything leads to the same exact result, so i don't know if its my code anymore. I've tried reinstalling python, reinstalling flask, and nothing ever works. It's not just my device, my school one is also experiencing the same issue.
does anyone know what i can do?? if you need any more details please tell me. i'm kinda not good so apologies if im doing or missing something horribly obvious
/r/flask
https://redd.it/1l5b52d
R LLMs are Locally Linear Mappings: Qwen 3, Gemma 3 and Llama 3 can be converted to exactly equivalent locally linear systems for interpretability
https://arxiv.org/abs/2505.24293
https://github.com/jamesgolden1/llms-are-llms
Hello all, I'd like to share my new research describing an alternative approach to LLM interpretability. I show that transformer decoder LLMs can be made locally linear at inference time without changing outputs or weights.
Result: LLMs can be converted into nearly exactly equivalent linear systems that reconstruct the next-token output for any given input text sequence. Instead of 25+ layers of nonlinear computations, this method computes a single set of matrix multiplications that linearly operates on the input embedding vectors and nearly exactly reconstructs the output embedding for a single token prediction.
Method: A "linear path" through the transformer is identified, the nonlinear components are detached from the gradient, and the Jacobian with respect to the input embeddings is computed. This yields the "detached Jacobian", which is the set of matrices that operate linearly on input embeddings to reproduce the predicted output embedding with \~10⁻⁶ error for float32 models.
Interpretability: This method provides nearly-exact token attribution rather than approximate attention weights - tools from linear algebra like the SVD are used to understand which concepts drive predictions
Scope: Works across Qwen 3, Gemma 3, Llama 3, Phi 4, Ministral and OLMo 2 (tested up to 70B parameters at q4).
Practical: The method works on
/r/MachineLearning
https://redd.it/1l4rpe2
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/1l57cfo
CRUDAdmin - Modern and light admin interface for FastAPI built with FastCRUD and HTMX
Hey, guys, for anyone who might benefit (or would like to contribute)
Github: https://github.com/benavlabs/crudadmin
Docs: https://benavlabs.github.io/crudadmin/
CRUDAdmin is an admin interface generator for FastAPI applications, offering secure authentication, comprehensive event tracking, and essential monitoring features.
Built with FastCRUD and HTMX, it's lightweight (85% smaller than SQLAdmin and 90% smaller than Starlette Admin) and helps you create admin panels with minimal configuration (using sensible defaults), but is also customizable.
Some relevant features:
Multi-Backend Session Management: Memory, Redis, Memcached, Database, and Hybrid backends
Built-in Security: CSRF protection, rate limiting, IP restrictions, HTTPS enforcement, and secure cookies
Event Tracking & Audit Logs: Comprehensive audit trails for all admin actions with user attribution
Advanced Filtering: Type-aware field filtering, search, and pagination with bulk operations
There are tons of improvements on the way, and tons of opportunities to help. If you want to contribute, feel free!
https://github.com/benavlabs/crudadmin
/r/Python
https://redd.it/1l4yh0g
Best Django Open Source Repository
Hi everyone!
I’m currently looking for a high-quality, open-source Django project repository to explore and learn from. I strongly believe that studying real-world, production-grade codebases is one of the best ways to deepen understanding and improve as a developer.
Ideally, I’m looking for a repository that:
• Follows industry best practices
• Has a well-structured project architecture
• Includes features like testing, CI/CD, Docker support, authentication, API design, etc.
• Is actively maintained or at least well-documented
If you know of any such Django-based projects that have helped you or are known for their clean and scalable architecture, I’d love your recommendations!
Thanks in advance 🙌
/r/django
https://redd.it/1l4mkm3
How to setup a Jupyter Enterprise Gateway for my server?
Hey there. I'm new to setting up clusters and working on a backend of this complexity so let me explain what I'm trying to do here:
I'm trying to set up a framework in my lab for people to access our GPU server from their own local devices, ideally a jupyter notebook. When needed, I would like for them to run their code and utilize the server's gpu instead of their own local compute. For this i asked deep research and it gave me two options, based on JupyterHUB or JupyterEnterprise Gateway.
In the Jupyter Enterprise Gateway method it suggested, i would run jupyter notebooks locally but those notebooks will run on the kernels that are containerized on the server. I understood this approach broadly but have no idea if this is even feasible. I would like an explainer on how i would even start setting up this framework.
I will attach link to the conversation in ChatGPT. Please do tell me if it makes sense. If so, please be kind enough to explain how this works.
Conversation Link: **https://chatgpt.com/share/68431361-2650-8005-9373-97d13e8bcb77**
/r/IPython
https://redd.it/1l4wf65
Sold an App made with the help of AI
I sold an App ( Django Python JS) for 7K USD mostly using AI, I have done small projects for about 2 -3Ks, but since I don’t Like Front End that much I never tried more complex Apps, so I had the opportunity jump on this project inventory - buy orders - authentication - and some strange requirements from the owner of a car workshop where JS was a must, and I basically did the front end with AI, and part of the backend too, I just coded like 20% and using my old projects as base.
I understand the code and can make changes, if needed, but somehow I felt like this is just all? Or now is just work smarter not harder? I’m sure this project that took me 2 months, would have take 8 months or more without AI.
The App have been in use for some months and had no issues at all. I mean you need to understand things and what they do, but still this felt soo strange.
/r/django
https://redd.it/1l4inux
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/1l4ej2e
Just for fun: looking for Django devs to collaborate on a community-driven open source e-commerce project
Hey everyone!
I'm a Django developer with about 2 years of experience, and I've never created or contributed to an open source project before — so I thought, why not start one with the community?
The idea is simple: build a basic but scalable e-commerce project with Django, just for fun and learning, without relying on large frameworks like Django Oscar. I’ve used Oscar before, and while it’s powerful, it can feel too big, too slow, and a bit overengineered for small to mid-size projects.
So I’m putting together a lightweight, modular e-commerce base that’s easy to understand, extend, and hack on. Something the community can shape and improve over time.
There's no official roadmap yet, just a general goal:
Keep it clean and simple
Make it scalable and flexible
Focus on real-world usability, not overengineering
Learn, share, and have fun with Django
If anyone's interested, just shoot me a message or let me know — happy to have you on board!
/r/djangolearning
https://redd.it/1l45ubr
What are your favorite modern libraries or tooling for Python?
Hello, after a while of having stopped programming in Python, I have come back and I have realized that there are new tools or alternatives to other libraries, such as uv and Polars. Of the modern tools or libraries, which are your favorites and which ones have you implemented into your workflow?
/r/Python
https://redd.it/1l43i8z
How can I deploy my full-stack Flask + MongoDB app on Vercel?
Hey everyone,
I’ve already deployed my Flask back-end successfully, but this is my first time deploying a full-stack app that also includes MongoDB. What steps should I follow to connect my Flask front-end and back-end, configure environment variables on Vercel, and ensure my database operations don’t run into cold-start or timeout issues? Any tips would be much appreciated.
/r/flask
https://redd.it/1l3ziyg
What are the best resources to learn django
/r/djangolearning
https://redd.it/1l2l06a
OpenGrammar (Open Source)
Title: 🖋️ I built an open-source AI grammar checker as an alternative to Grammarly
GitHub Link: https://github.com/muhammadmuneeb007/opengrammar
🚀 OpenGrammar - AI-Powered Writing Assistant & Grammar Checker A free and open-source grammar checking tool that provides real-time writing analysis, style enhancement, and readability metrics using Google's Gemini AI.
🎯 What My Project Does This tool analyzes your writing in real-time to detect grammar errors, suggest style improvements, and provide detailed readability metrics. It offers comprehensive writing assistance without any subscription fees or usage limits.
✨ Key Features
🎯 Real-time grammar and spelling analysis powered by AI
🎨 Style enhancement suggestions and writing improvements
📊 Readability scores (Flesch-Kincaid, SMOG, ARI)
🔤 Smart corrections with one-click acceptance
📚 Synonym suggestions for vocabulary enhancement
📈 Writing analytics including word count and sentence structure
📄 Supports documents up to 10,000 characters
💯 Completely free with no usage restrictions
🆚 Comparison/How is it different from other tools? Most grammar checkers like Grammarly, ProWritingAid, and Ginger require expensive subscriptions ($12-30/month). OpenGrammar leverages Google's free Gemini AI to provide professional-grade grammar checking without any cost, API keys, or account creation required.
🎯 How's the accuracy? OpenGrammar uses Google's advanced Gemini AI model, which provides highly accurate grammar detection and contextual suggestions. The AI understands
/r/Python
https://redd.it/1l3vhc6
