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

Posted by AutoModerator@reddit | Python | View on Reddit | 12 comments

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:

Show & Tell: Share your current projects, completed works, or future ideas.
Discuss: Get feedback, find collaborators, or just chat about your project.
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:

Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
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! 🌟

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ottawadeveloper@reddit

I've been fine tuning my dependency injection system lately - it runs on decorators and type hints to inject objects into instance properties and function arguments, though you can also just call it to get an object. It supports global (cross-thread) and per-thread objects (as well as building contextual objects through contextvars).

It doesn't play nicely with the future annotations package right now, so I'm improving how string annotations are handled at the moment for the next release. I also had another use case I might add - adding call-time resolved objects (which is basically what this is).

latkde@reddit

It doesn't play nicely with the future annotations package right now

Note that from __future__ import annotations is essentially a dead end, and might be removed in the future. Instead, Python 3.14 / PEP-649 has implemented lazy evaluation of annotations, which may or may not require changes in your code to deal with forward references correctly.

jee_op@reddit

i built a webscrapper for getting leetcode questions solved info using selenium. i built one for getting news titles from google news and show it in tkinter

macjaf@reddit

Python package: tokencap - Token budget encforcement for AI agents.

https://github.com/pykul/tokencap

Working on it because I didn't find a good way to enforce token budgets in agent code, especially in multi-agent setups.

AssociateEmotional11@reddit

What I'm working on: PyNeat 2.0 - An AST-based formatter built on LibCST specifically designed to clean up "AI-generated Python noise".

Why it's cool: It's not a linter like Ruff. It actually auto-fixes structural anti-patterns (like flattening arrow-pattern ifs or removing LLM tautologies like str(str(x))) while preserving 100% of your comments and formatting. Just passed stress tests against the Anthropic SDK and Pydantic core!

Currently adding batch processing and native pyproject.toml support before releasing the new version. Would love to hear what specific AI-coding habits annoy you the most!

nahuel990@reddit

Claude trying to add "Coauthored by Anthropic" whenever you ask for help in a PR 😅

Oh shet i only read the title , iam so sorry

I was just adding what annoys me when I do AI coding 😶

Wdym? My project? Uh it need more time and i am trying to fix it real quick may be 2 more days it will work

AWS emulator (Ministack https://ministack.org) We added a new AWS 101 section to help people understand how AWS works and how can be tested without paying a single $ 🤗

Candid_Complaint_925@reddit

Been building **TradeSight** — a fully self-hosted Python trading strategy lab that runs AI strategy tournaments overnight while you sleep.The core idea: instead of hand-tuning one strategy, you let multiple strategies compete against each other in simulated backtests, the winner gets promoted to paper trading via Alpaca, losers get retired. All local, no cloud subscription.What's in it:- 15+ technical indicators (MACD, RSI, Bollinger, EMA crossovers, ATR)- Automated nightly cron that evolves strategies and updates a Flask dashboard- Paper trades real market data against your Alpaca paper account- 169 unit tests, MIT licensedIt started as a weekend project to stop paying for algo trading SaaS. Now it's become something I actually use for learning market mechanics.GitHub: https://github.com/rmbell09-lang/tradesight

ImprovementLoose9423@reddit

Course website: I built a website using flask where you take a quiz and it generate a full custom coding course for you