D Simple Questions Thread

Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead!

Thread will stay alive until next one so keep posting after the date in the title.

Thanks to everyone for answering questions in the previous thread!

/r/MachineLearning
https://redd.it/1meysr1

Why I Chose Django Instead of Microservices for My Cloud Dev Platform

Hey everyone,

I wanted to share my experience building Onix Enviro, a cloud development platform that lets users run full development environments directly in the browser. It provides container-based workspaces, port forwarding, templates for popular stacks like Flask or Node.js, and a browser-based VS Code editor.

At first, I thought microservices were the right approach. So I built the first version using:

* **FastAPI** for backend services
* **Svelte** for the frontend
* **Keycloak** for authentication
* **REST APIs** for communication between services
* **Kubernetes** for orchestrating everything, even in local development
* Everything deployed with Docker containers

Technically it worked, but it quickly became a nightmare.

* **Authentication was one of the hardest parts**: I went through a lot of trial and error trying to secure services. OAuth2 proxies were clunky and hard to manage across multiple apps.
* **Dev workflow**: Local development required running Kubernetes clusters, which made the setup heavy and slow. Just spinning things up could take 5 to 10 minutes.
* **Debugging pain**: Every issue meant digging through logs across multiple pods and services to find the root cause.
* **Slower iteration**: Even small features like template selection required updates across several services and configs.
* **Too much infrastructure**: I spent more time maintaining the system than improving

/r/django
https://redd.it/1mf951v

I have a django website that allows tutors to schedule sessions for later dates with students who can then book the sessions,am using celery workers to create and schedule tasks that changes a sessions is_expired to true after the date and time that was set by the tutor

I have noticed that everytime i start my development sever i also have to manually start my celery workers inorder to have that effect,what will i need to do when my website is in production mode and do u guys have or know of any other alternative ways to do this?

/r/django
https://redd.it/1mf0i4a

several users saving records to the database

I have a small internal service in company built on Django, and now more people are using it (up to 20). It's run by gunicorn on Linux. Recently, I've been receiving reports that, despite saving a form, the record isn't in the database. This is a rare occurrence, and almost every user has reported this. Theoretically, there's a message confirming the record was created, but as with people, I don't trust them when they say there was a 100% message. Can this generally happen, and does the number of users matter? If several users use the same form from different places, can there be any collisions and, for example, a record for user A was created but a message appeared for user B? Could it be due to different browsers? in other words, could the reason lie somewhere else than in the django service?

def new_subscription_with_fake_card(request):
plate = ""
content = {}
# Check if the "create new subscription" button was pressed
if request.POST.get("button_create_new_subscription") is not None:


/r/django
https://redd.it/1me6kqu

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/1mfc9h3

🐍 [Feedback] DJ Maker – Generate Full Django CRUD Apps & DRF APIs with One Command!

Hey Django community! 👋

I’m excited to share an open-source tool that has greatly improved my Django workflow:

🚀 [**DJ Maker – GitHub**](https://github.com/giacomo/dj-maker)
A lightweight yet early powerful Django code generator that instantly creates full apps – including models, views, URLs, templates, and even **Django REST Framework APIs** – right from the command line.

# 🔧 Why DJ Maker?

**✨ Key Features:**

* 🔁 Full **CRUD** app scaffolding (models, views, urls, templates)
* ⚙️ Support for **api, default and advanced routes**
* 🎨 Auto-generated **Bootstrap 5** HTML templates
* 💻 Beautiful CLI with interactive prompts (powered by Rich and Typer)
* 🧪 Preview and `--dry-run` modes to visualize before generating
* ✅ **91% test coverage**, built with best practices in mind
* 📦 Built-in API namespacing, versioning, and DRF router support


I'd love to hear your feedback, get a star ⭐, or even see a PR! Got feature ideas or suggestions? Drop a comment – I’m actively maintaining it 😄

**I hope you'll join this adventure – give it a spin and let me know what you think!**


**PyPI package:** [https://pypi.org/project/dj-maker/](https://pypi.org/project/dj-maker/)

/r/django
https://redd.it/1mfq7xr

Help For Resource

Hii everyone I'm a working professional and I just joined a company where i neeed to work on Django and I come from JS and Express ecosystem can someone tell me best resources to learn Django in a fast and effective way ,,,FYI. I know basic python already

/r/djangolearning
https://redd.it/1mf7zvr

Sunday Daily Thread: What's everyone working on this week?

# Weekly Thread: What's Everyone Working On This Week? 🛠️

Hello /r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!

## How it Works:

1. Show & Tell: Share your current projects, completed works, or future ideas.
2. Discuss: Get feedback, find collaborators, or just chat about your project.
3. Inspire: Your project might inspire someone else, just as you might get inspired here.

## Guidelines:

Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome.
Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here.

## Example Shares:

1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
2. Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
3. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier!

Let's build and grow together! Share your journey and learn from others. Happy coding! 🌟

/r/Python
https://redd.it/1mg53kt

Anyone using GPT-4o + RAG to generate Django ORM queries? Struggling with hallucinations

Hi all,
I'm working on an internal project at my company where we're trying to connect a large language model (GPT-4o via OpenAI) to our Django-based web application. I’m looking for advice on how to improve accuracy and reduce hallucinations in the current setup.

Context:
Our web platform is a core internal tool developed with Django + PostgreSQL, and it tracks the technical sophistication of our international teams. We use a structured evaluation matrix that assesses each company across various criteria.

The platform includes data such as:
• Companies and their projects
• Sophistication levels for each evaluation criterion
• Discussion threads (like a forum)
• Tasks, attachments, and certifications

We’re often asked to generate ad hoc reports based on this data.
The idea is to build a chatbot assistant that helps us write Django ORM querysets in response to natural language questions like:

“How many companies have at least one project with ambition marked as ‘excellent’?”

Eventually, we’d like the assistant to run these queries (against a non-prod DB, of course) and return the actual results — but for now, the first step is generating correct and usable querysets.

What we’ve built so far:

• We’ve populated OpenAI’s vector store with the Python files from our Django app (mainly the

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

I built webpath to eliminate API boilerplate

I built webpath for myself. I did showcase it here last time and got some feedback. So i implemented the feedback. Anyway, it uses httpx and jmespath under the hood.

So, why not just use requests or httpx \+ jmespath separately?

You can, but this removes all the long boilerplate code that you need to write in your entire workflow.

Instead of manually performing separate steps, you chain everything into a command:

1. Build a URL with / just like pathlib.
2. Make your request.
3. Query the nested JSON from the res object.

Before (more procedural, stpe 1 do this, step 2 do that, step 3 do blah blah blah)

response = httpx.get("https://api.github.com/repos/duriantaco/webpath")

response.raiseforstatus()
data = response.json()
owner = jmespath.search("owner.login", data)
print(f"Owner: {owner}")

After (more declarative, state your intent, what you want)

owner = Client("https://api.github.com").get("repos", "duriantaco", "webpath").find("owner.login")

print(f"Owner: {owner}")

It handles other things like auto-pagination and caching also. Basically, i wrote this for myself to stop writing plumbing code and focus on the data.

Less boilerplate.

# Target audience

Anyone dealing with apis

If you like to contribute or

/r/Python
https://redd.it/1mg61fl

Venv in vscode

/r/djangolearning
https://redd.it/1mf1a92

But really, why use ‘uv’?

Overall, I think uv does a really good job at accomplishing its goal of being a net improvement on Python’s tooling. It works well and is fast.

That said, as a consumer of Python packages, I interact with uv maybe 2-3 times per month. Otherwise, I’m using my already-existing Python environments.

So, the questions I have are: Does the value provided by uv justify having another tool installed on my system? Why not just stick with Python tooling and accept ‘pip’ or ‘venv’ will be slightly slower? What am I missing here?

Edit: Thanks to some really insightful comments, I’m convinced that uv is worthwhile - even as a dev who doesn’t manage my project’s build process.

/r/Python
https://redd.it/1mfd3ww

Built Fixie: AI Agent Debugger using LangChain + Ollama

Just finished building **Fixie**, an AI-powered debugging assistant that uses multiple specialized agents to analyze Python code, detect bugs, and suggest fixes. Thought I'd share it here for feedback and to see if others find it useful! It's fast, private (runs locally), and built with modularity in mind.

**What My project does:**

* **Multi-agent workflow**: Three specialized AI agents (SyntaxChecker, LogicReasoner, FixSuggester) work together
* **Intelligent bug detection**: Finds syntax errors, runtime issues, and identifies exact line numbers
* **Complete fix suggestions**: Provides full corrected code, not just hints
* **Confidence scoring**: Tells you how confident the AI is about its fix
* **Local & private**: Uses Ollama with Llama 3.2 - no data sent to external APIs
* **LangGraph orchestration**: Proper agent coordination and state management

🎯 **Target Audience**

Fixie is aimed at:

* Intermediate to advanced Python developers who want help debugging faster
* Tinkerers and AI builders exploring multi-agent systems
* Anyone who prefers **local, private AI tools** over cloud-based LLM APIs

It’s functional enough for light production use, but still has some rough edges.

🔍 **Comparison**

Unlike tools like GitHub Copilot or ChatGPT plugins:

* Fixie runs **entirely locally** — no API calls, no data sharing
* Uses a **multi-agent architecture**, with each agent focusing on a specific task

# Example output:

--- Fixie AI Debugger ---


/r/Python
https://redd.it/1mg6cew

Snob: Only run tests that matter, saving time and resources.

What the project does:

Most of the time, running your full test suite is a waste of time and resources, since only a portion of the files has changed since your last CI run / deploy.

Snob speeds up your development workflow and reduces CI testing costs dramatically by analyzing your Python project's dependency graph to intelligently select which tests to run based on code changes.

Target audience:

Python developers tired of long iteration cycles / CI runs.

Comparison:

I don't know of any real alternatives to this that aren't testrunner specific.

Github: https://github.com/alexpasmantier/snob

/r/Python
https://redd.it/1mgf5mu

ANN django‑smart‑ratelimit v0.8.0: Circuit Breaker Pattern for Enhanced Reliability

Major Features

Circuit Breaker Pattern: automatic failure detection and recovery for all backends
Exponential Backoff: smart recovery timing that increases delay on repeated failures
Built‑in by Default: all rate limiting automatically includes circuit breaker protection
Zero Configuration: works out‑of‑the‑box with sensible defaults
Full Customization: global settings, backend‑specific config, or disable if needed

Quality & Compatibility

50+ new tests covering scenarios & edge cases
Complete mypy compliance and thread‑safe operations
Minimal performance overhead and zero breaking changes

Install
pip install django‑smart‑ratelimit==0.8.0

Links
GitHub → https://github.com/YasserShkeir/django-smart-ratelimit

Looking forward to your feedback and real‑world performance stories!

/r/django
https://redd.it/1mgf25x

Seo in django means

I came to know that django is a search engine optimised oriented framework.
What does that means and why is called like that

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

D Self-Promotion Thread

Please post your personal projects, startups, product placements, collaboration needs, blogs etc.

Please mention the payment and pricing requirements for products and services.

Please do not post link shorteners, link aggregator websites , or auto-subscribe links.

\--

Any abuse of trust will lead to bans.

Encourage others who create new posts for questions to post here instead!

Thread will stay alive until next one so keep posting after the date in the title.

\--

Meta: This is an experiment. If the community doesnt like this, we will cancel it. This is to encourage those in the community to promote their work by not spamming the main threads.

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

Bash user here, am I missing something with not using python?

Hello, I'm managing a couple of headless servers, and I use bash scripts heavily to manage them. I manage mostly media files with ffmpeg, other apps, copying and renaming... and other apps.

However, whenever I see someone else creating scripts, most of them are in python using api instead of direct command lines. Is python really that better for these kind of tasks compared to bash?

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

DSF member of the month - Jake Howard
https://www.djangoproject.com/weblog/2025/aug/03/dsf-member-of-the-month-jake-howard/

/r/django
https://redd.it/1mgm1zv

Monday Daily Thread: Project ideas!

# Weekly Thread: Project Ideas 💡

Welcome to our weekly Project Ideas thread! Whether you're a newbie looking for a first project or an expert seeking a new challenge, this is the place for you.

## How it Works:

1. **Suggest a Project**: Comment your project idea—be it beginner-friendly or advanced.
2. **Build & Share**: If you complete a project, reply to the original comment, share your experience, and attach your source code.
3. **Explore**: Looking for ideas? Check out Al Sweigart's ["The Big Book of Small Python Projects"](https://www.amazon.com/Big-Book-Small-Python-Programming/dp/1718501242) for inspiration.

## Guidelines:

* Clearly state the difficulty level.
* Provide a brief description and, if possible, outline the tech stack.
* Feel free to link to tutorials or resources that might help.

# Example Submissions:

## Project Idea: Chatbot

**Difficulty**: Intermediate

**Tech Stack**: Python, NLP, Flask/FastAPI/Litestar

**Description**: Create a chatbot that can answer FAQs for a website.

**Resources**: [Building a Chatbot with Python](https://www.youtube.com/watch?v=a37BL0stIuM)

# Project Idea: Weather Dashboard

**Difficulty**: Beginner

**Tech Stack**: HTML, CSS, JavaScript, API

**Description**: Build a dashboard that displays real-time weather information using a weather API.

**Resources**: [Weather API Tutorial](https://www.youtube.com/watch?v=9P5MY_2i7K8)

## Project Idea: File Organizer

**Difficulty**: Beginner

**Tech Stack**: Python, File I/O

**Description**: Create a script that organizes files in a directory into sub-folders based on file type.

**Resources**: [Automate the Boring Stuff: Organizing Files](https://automatetheboringstuff.com/2e/chapter9/)

Let's help each other grow. Happy

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