Python for Good - Save the Date!

Hey Pythonistas!

Do you:

✅ Get excited about writing Python code?
✅ Want to use your skills for some serious good in the world?
✅ Interested in hanging out with the coolest, kindest, most awesome people in the Python community?
✅ Want to make dozens of new close friends?

If you're nodding enthusiastically right now, block off August 28-31st for Python for Good! Registration opens June 1st, but we wanted to give you a heads-up so you can plan accordingly!

Never heard of Python for Good? Python for Good operates year round but the event is basically summer camp for nerds! And it's ALL-INCLUSIVE (yes, you read that right) - lodging, meals, everything - at a gorgeous retreat space overlooking the Pacific Ocean. By day, we code for awesome causes. By night? We unleash our inner geeks with board games, nature hikes, campfire s'mores, epic karaoke battles, and other community building activities!

This is definitely NOT a hackathon. We work on real problems from real nonprofits (who'll be right there with us!), creating or contributing to existing open source solutions that will continue to make a difference long after the event wraps up.

Sounds like fun? Or maybe something your company would love to support? Hit us up!

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

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/1knn8l8

Better Pythonic Thinking

I've been using Python for a while, but I still find myself writing it more like JS than truly "Pythonic" code. I'm trying to level up how I think in Python.

Any tips, mindsets, patterns, or cheat sheets that helped you make the leap to more Pythonic thinking?

/r/Python
https://redd.it/1knff06

Jinja2

what is Jinja2 template

explain it or any source or youtube video.

/r/flask
https://redd.it/1kn3rhw

python and Flask

I am using Python with Flask to create a secure login portal. Since I have a QA exam, could you tell me what theory and practical questions the QA team might ask?

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

What network/data analysis projects are you building in Python?

I've been working on some tools to analyze detailed API performance data — things like latency, error rates, and concurrency patterns from load tests, mostly using Python, pandas, and notebooks.

Got me wondering: what kinds of network-related data projects are people building these days?

Always up for swapping ideas — or just learning what’s out there.

/r/Python
https://redd.it/1knvl0u

Hi there, I'm new here and I need a partner to learn Django with through discord



/r/djangolearning
https://redd.it/1knv0m8

D presenting a paper virtually in ACL findings - should we?

Hi everyone.

Our paper (mine and colleagues) has been accepted to ACL findings. This is the first paper of mine that got accepted, so i am very excited and happy.

ACL findings papers are not required to be presented. They give you an option to present it, and if you choose to present it you can do it in person or virtually.

Unfortunately none of us are able to do it in person and fly to the conference. So the question becomes "is it worth it to present it virtually?".

I would love to hear what people think and experiences you had when presenting virtually.

Thanks.

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

Which library would you choose Pygame or Arcade?

which library would you guys choose if making a game similar to mini millitia for steam, i see both libraries are good and have community support also , but still which one would you choose or if any other options , do comment

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

SAMESITE='STRICT'

what is SAMESITE='STRICT'

/r/flask
https://redd.it/1knshv2

P TTSDS2 - Multlingual TTS leaderboard

A while back, I posted about my TTS evaluation metric TTSDS, which uses an ensemble of perceptually motivated, FID-like scores to objectively evaluate synthetic speech quality. The original thread is here, where I got some great feedback:
https://www.reddit.com/r/MachineLearning/comments/1e9ec0m/p\_ttsds\_benchmarking\_recent\_tts\_systems/

Since then, I've finally gotten around to updating the benchmark. The new version—TTSDS2—is now multilingual, covering 14 languages, and generally more robust across domains and systems.

⭐ Leaderboard: ttsdsbenchmark.com#leaderboard
📄 Paper: https://arxiv.org/abs/2407.12707

The main idea behind TTSDS2 is still the same: FID-style (distributional) metrics can work well for TTS, but only if we use several of them together, based on perceptually meaningful categories/factors. The goal is to correlate as closely as possible with human judgments, without having to rely on trained models, ground truth transcriptions, or tuning hyperparameters. In this new version, we get a Spearman correlation above 0.5 with human ratings in every domain and language tested, which none of the other 16 metrics we compared against could do.

I've also put in place a few infrastructure changes. The benchmark now reruns automatically every quarter, pulling in new systems published in the previous quarter. This avoids test set contamination. The test sets themselves are also regenerated periodically using a reproducible pipeline. All TTS

/r/MachineLearning
https://redd.it/1knwaf7

RouteSage - Documentation of FastAPI made easy

I have just built RouteSage as one of my side project. Motivation behind building this package was due to the tiring process of manually creating documentation for FastAPI routes. So, I thought of building this and this is my first vibe-coded project.

My idea is to set this as an open source project so that it can be expanded to other frameworks as well and more new features can be also added.

What My Project Does:

RouteSage is a CLI tool that uses LLMs to automatically generate human-readable documentation from FastAPI route definitions. It scans your FastAPI codebase and provides detailed, readable explanations for each route, helping teams understand API behavior faster.

Target Audience:

RouteSage is intended for FastAPI developers who want clearer documentation for their APIs—especially useful in teams where understanding endpoints quickly is crucial. This is currently a CLI-only tool, ideal for development or internal tooling use.

Comparison:

Unlike FastAPI’s built-in OpenAPI/Swagger UI docs, which focus on the structural and request/response schema, RouteSage provides natural language explanations powered by LLMs, giving context and descriptions not present in standard auto-generated docs. This is useful for onboarding, code reviews, or improving overall API clarity.

Your suggestions and validations are welcomed.

Link to project: https://github.com/dijo-d/RouteSage

https://routesage.vercel.app

/r/Python
https://redd.it/1knw6ie

db.init_app(app) Errror

Hi I am a compleat Noob (in flask), i have an Error in my Program that says: TypeError: SQLAlchemy.init\_app() missing 1 required positional argument: 'app' and i dont know what is wrong ):


This is the code pls Help me:

from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from os import path

db = SQLAlchemy
DB_NAME = "database.db"

def create_app():
    app = Flask(__name__)
    app.config['SECRET_KEY'] = 'hjshjhdjah kjshkjdhjs'
    app.config['SQLALCHEMY_DATABASE_URI'] = f'sqlite:///{DB_NAME}'
    db.init_app(app) #this thing makes the problem

    from .views import views #thies are just website things
    from .auth import auth

    app.register_blueprint(views, url_prefix='/')
    app.register_blueprint(auth, url_prefix='/')

    from .models import User, Note #that are moduls for the data base

    with app.app_context():


/r/flask
https://redd.it/1kmg69c

Is free threading ready to be used in production in 3.14?

I am currently using multiprocessing and having to handle the problem of copying data to processes and the overheads involved is something I would like to avoid. Will 3.14 have official support for free threading or should I put off using it in production until 3.15?

/r/Python
https://redd.it/1ko5f3k

How to filter related objects by attribute and pass to Django template?

Im working on a Django app where I have a group model with multiple sections, and each section has multiple items. Each item has a category (using TextChoices). I want to display items that belong to a certain category, grouped by section, in a view/template.

In other hands, i want to control where item is displayed based mainly the category. I want to display this is this kind of way (example):

Section 1 :

Items (that belong to section 1) Category 1

Section 2:

Items (that belong to section 2) from Category 1

Section 1:

Items from Category 3

Section 2:

Items from Category 4

etc..

I tried looking at Django's documentation, as well as asking AI, but i still struggle to understand how to structure this. Assuming I have many categories, i don't know how to assign them to the context.

Here's an example code i generated (and of course, checked) to explain my problem.

# MODELS

from django.db import models

class Item(models.Model):
class ItemCategory(models.TextChoices):
TYPE_A = "A", "Alpha"


/r/djangolearning
https://redd.it/1ko396g

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/1kofmtf

D Who do you all follow for genuinely substantial ML/AI content?

I've been looking for people to follow to keep up with the latest in ML and AI research/releases but have noticed there's a lot of low quality content creators crowding this space.

Who are some people you follow that you genuinely get substantial info from?

/r/MachineLearning
https://redd.it/1ko64s6

Microsoft Fired Faster CPython Team

https://www.linkedin.com/posts/mdboom_its-been-a-tough-couple-of-days-microsofts-activity-7328583333536268289-p4Lp

This is quite a big disappointment, really. But can anyone say how the overall project goes, if other companies are also financing it etc.? Like does this end the project or it's no huge deal?

/r/Python
https://redd.it/1koev5c

What CPython Layoffs Taught Me About the Real Value of Expertise

The layoffs of the CPython and TypeScript compiler teams have been bothering me—not because those people weren’t brilliant, but because their roles didn’t translate into enough real-world value for the businesses that employed them.

That’s the hard truth: Even deep expertise in widely-used technologies won’t protect you if your work doesn’t drive clear, measurable business outcomes.


The tools may be critical to the ecosystem, but the companies decided that further optimizations or refinements didn’t materially affect their goals. In other words, "good enough" was good enough. This is a shift in how I think about technical depth. I used to believe that mastering internals made you indispensable. Now I see that: You’re not measured on what you understand. You’re measured on what you produce—and whether it moves the needle.


The takeaway? Build enough expertise to be productive. Go deeper only when it’s necessary for the problem at hand. Focus on outcomes over architecture, and impact over elegance. CPython is essential. But understanding CPython internals isn’t essential unless it solves a problem that matters right now.

/r/Python
https://redd.it/1kok2e1

Skylos: Another dead code finder, but its better and faster. Source, Trust me bro.

# Skylos: The Python Dead Code Finder Written in Rust

Yo peeps

Been working on a static analysis tool for Python for a while. It's designed to detect unreachable functions and unused imports in your Python codebases. I know there's already Vulture, flake 8 etc etc.. but hear me out. This is more accurate and faster, and because I'm slightly OCD, I like to have my codebase, a bit cleaner. I'll elaborate more down below.

# What Makes Skylos Special?

* **High Performance**: Built with Rust, making it fast
* **Better Detection**: Finds more dead code than alternatives in our benchmarks
* **Interactive Mode**: Select and remove specific items interactively
* **Dry Run Support**: Preview changes before applying them
* **Cross-module Analysis**: Tracks imports and calls across your entire project

# Benchmark Results

|Tool|Time (s)|Functions|Imports|Total|
|:-|:-|:-|:-|:-|
|Skylos|0.039|48|8|56|
|Vulture (100%)|0.040|0|3|3|
|Vulture (60%)|0.041|28|3|31|
|Vulture (0%)|0.041|28|3|31|
|Flake8|0.274|0|8|8|
|Pylint|0.285|0|6|6|
|Dead|0.035|0|0|0|

This is the benchmark shown in the table above.

# How It Works

Skylos uses tree-sitter for parsing of Python code and employs a hybrid architecture with a Rust core for analysis and a Python CLI for the user interface. It handles Python features like decorators, chained method calls, and cross-mod references.

# Target Audience

Anyone with a **.py** file and a huge codebase that needs to kill off dead code? This ONLY

/r/Python
https://redd.it/1koi4fo