I recreated the django admin "green plus popup form" in the frontend with HTMX

/r/django
https://redd.it/1icxl9e

Host your Python app for $1.28 a month

Hey 👋

I wanted to share my technique ( and python code) for cheaply hosting Python apps on AWS.

**https://www.pulumi.com/blog/serverless-api/**

40,000 requests a month comes out to $1.28/month! I'm always building side projects, apps, and backends, but hosting them was always a problem until I figured out that AWS lambda is super cheap and can host a standard container.

💰 The Cost:

Only $0.28/month for Lambda (40k requests)
About $1.00 for API Gateway/egress
Literally $0 when idle!
Perfect for side projects and low traffic internal tools

🔥 What makes it awesome:

1. Write a standard Flask app
2. Package it in a container
3. Deploy to Lambda
4. Add API Gateway
5. Done! ✨

The beauty is in the simplicity - you just write your Flask app normally, containerize it, and let AWS handle the rest. Yes, there are cold starts, but it's worth it for low-traffic apps, or hosting some side projects. You are sort of free-riding off the AWS ecosystem.

Originally, I would do this with manual setup in AWS, and some details were tricky ( example service and manual setup ) . But now that I'm at Pulumi, I decided to convert this all to some Python Pulumi code and get it out on the blog.

How are you currently

/r/Python
https://redd.it/1ics9vi

Planning to shift career From Golang Developer to Python (Django) Developer

Currently working as a Golang Developer In a startup for the past 2 years, Now I have an opportunity from another startup for python fullstack developer role. I'm Fine with Golang but I only know the basics of Python. What are all the things to do to learn Django with htmx..?
I'm on notice period having 30 days to join the other company
Can anybody share the roadmap/ suggestions for this.

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

Performance Benchmarks for ASGI Frameworks

# Performance Benchmark Report: MicroPie vs. FastAPI vs. Starlette vs. Quart vs. LiteStar

# 1. Introduction

This report presents a detailed performance comparison between four Python ASGI frameworks: MicroPie, FastAPI, LiteStar, Starlette, and Quart. The benchmarks were conducted to evaluate their ability to handle high concurrency under different workloads. Full disclosure I am the author of MicroPie, I tried not to show any bias for these tests and encourage you to run them yourself!

Tested Frameworks:

[MicroPie](https://patx.github.io/micropie) \- "an ultra-micro ASGI Python web framework that gets out of your way"
FastAPI \- "a modern, fast (high-performance), web framework for building APIs"
[Starlette](https://www.starlette.io/) \- "a lightweight ASGI framework/toolkit, which is ideal for building async web services in Python"
Quart \- "an asyncio reimplementation of the popular Flask microframework API"
[LiteStar](https://litestar.dev/) \- "Effortlessly build performant APIs"

Tested Scenarios:

/ (Basic JSON Response) Measures baseline request handling performance.
`/compute` (CPU-heavy Workload): Simulates computational load.
/delayed (I/O-bound Workload): Simulates async tasks with an artificial delay.

Test Environment:

CPU: Star Labs StarLite Mk IV
Server: Uvicorn (4 workers)
Benchmark Tool: `wrk`
Test Duration: 30 seconds per endpoint
Connections: 1000 concurrent connections
Threads: 4

# 2. Benchmark Results

# Overall Performance Summary

|Framework|/ Requests/sec|Latency (ms)|Transfer/sec|/compute Requests/sec|Latency (ms)|Transfer/sec|/delayed Requests/sec|Latency (ms)|Transfer/sec|
|:-|:-|:-|:-|:-|:-|:-|:-|:-|:-|
|Quart|1,790.77|550.98ms|824.01 KB|1,087.58|900.84ms|157.35 KB|1,745.00|563.26ms|262.82 KB|
|FastAPI|2,398.27|411.76ms|1.08 MB|1,125.05|872.02ms|162.76 KB|2,017.15|488.75ms|303.78

/r/Python
https://redd.it/1id4vt7

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/1id8oap

D Why is most mechanistic interpretability research only published as preprints or blog articles ?

The more I dive into this topic, the more I see that the common practice is to publish your work on forums as blog articles instead of in peer-reviewed publications.

This makes work less trust-worthy and credible. I see that Anthropic does not publish on conferences as you can't reproduce their work. However, there is still a large amount of work "only" available as blog articles.

/r/MachineLearning
https://redd.it/1icw2pi

Object oriented programming with python

Hello,

I have a bit of hard time understanding OOP in python such as class, instance, method, class variable, instance variable, instantiation, and etc. Are there good video clips where I can conceptualize this logic visually and explain well? I feel like I kinda understand but then I am not 100% sure if I get the concept correctly. It's a bit confusing for me to understand clearly on these topics. I was wondering if there is a resource which explains these concepts very well with line by line interpretation of what they are and what they do in python coding. Thanks in advance!

/r/Python
https://redd.it/1id8t6d

Struggling to Authenticate Google API Creds with Flask & Docker

Hi, I'm new to Flask and have built a simple webapp to parse a schedule in raw text and add it to a google calendar. The app works perfectly in a virtual python environment, but I decided to add rate limiting with Redis and Docker, and since then have been swamped with issues. At first the site wouldn't even load due to issues with Redis. Now it does, but when I attempt to authenticate Google API credentials, I get this error: An error occurred: [Errno 98\] Address already in use. Can anyone here help me solve this?

/r/flask
https://redd.it/1icr3u5

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

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

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

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

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

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

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

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

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

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

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

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

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