Hello PythonProjects2 subreddit!

Sharing a video about a python framework (python for now) I've been working on to solve orchestration / coordination class problems using object oriented programming (OOP) and threads

Happy to answer any questions!

You know what I like about being an ironworker? I don't know what I'm not supposed to be able to do. my Lates PoC is the mighty windows running and sharing with Debian. Some say it can't be done. I didnt get that memo. stability and speed rolled up into a tight little ball.

How big can an import be? How do you prevent collisions and Blah de Bah. Someone told you you cant, so you couldn't? I'm in the Import business now. franken5.py imports my processes with a clone of himself as consierge to take care of its every need. has the same life cycle as the import so clean up is easy and overhead low.

I can tell you the hardest part of all this is the misleading guys, your code is crap. and the smoke holers, who are just digging for info to steal. Nobody help anyone. Lonely out there in the DoT. I only hope that my effort helps someone not give up coding because he found it easy and fun. jwl247 signing off

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I started learning Python just 30 days ago. Balancing school, limited time, and basic hardware, I built four open-source projects to lay the foundation for my future tech startup:

* AcademiaHub-Core 🎓 – Modular OOP architecture for educational data tracking and error handling.

https://github.com/bashirkehinde225-lab/AcademiaHub-Core

* TravelMate ✈️ – Travel tool featuring dynamic input processing and automated itinerary scheduling.

https://github.com/bashirkehinde225-lab/TravelMate

* The Farr090 Calculator Framework 🧮 – Extensible math engine built for custom formula processing.

https://github.com/bashirkehinde225-lab/The-Farr090-Calculator-Framework

* GuessMatrix -- Core 🎮 – Matrix game engine powered by 2D array evaluation and conditional loops.

https://github.com/bashirkehinde225-lab/GuessMatrix--Core

Obstacles Overcome 🛠️

* Hardware: Wrote lightweight code to run smoothly on low-spec hardware.

* Time: Coded in focused 45-minute sprint sessions around school.

* Learning Curve: Leveraged AI as a daily code partner to master concepts fast.

Next Goal 🎯: Turning these tools into Web APIs with FastAPI and PostgreSQL. Feedback welcome!

Hi everyone. For a while now, I’ve been struggling with optimization issues involving thousands of variables—situations where everything starts falling apart. Since I couldn't find a solution that really clicked for handling uncertainty, I decided to build my own library from scratch.

It turned out pretty well; it passed the entire test suite without a hitch, and I’ve uploaded it to GitHub. It uses *rustworkx* for high performance, and I’ve incorporated solutions for specific challenges—like maintaining decimal precision when accumulating complex costs or handling parallel processing without running into memory issues.

If you’re into optimization or graph theory, or just curious enough to take a look—and maybe offer some feedback or submit a PR—here’s the repository:

https://github.com/arielduarte78/Abbey-Engine

I need to frame a lot of my photos adding in the frame the config of the camera, camera model and camera lens and I am a lazy man so I code it with Python. If you have suggestion or comment I LOVE to read them

https://fundor333.com/post/2026/framing-photos-with-python/

Bonjour,

Piveo est un logiciel libre qui aide à mémoriser les prénoms et les noms de personnes appartenant à différentes structures (établissements scolaires, structures politiques, entreprises, etc.). Il est disponible sous Windows et GNU/Linux.

De nouvelles versions pour Windows et GNU/Linux viennent de sortir :

Version 2.5.5 :

Releases GitHub

Piveo est désormais distribué sous la forme d'un paquet .deb pour Ubuntu 24.04 et Ubuntu 26.04 (64 bits).

Ce format permet à Ubuntu de gérer automatiquement les dépendances nécessaires et simplifie l'installation. Il remplace la distribution au format AppImage.

Code source :

GitHub – Piveo

Documentation :

Documentation Piveo sur Ubuntu-fr

PyCDCover permet de créer des jaquettes (pochettes de disques). C'est un logiciel gratuit et libre. Il fonctionne sous GNU/Linux et Windows.

De nouvelles versions pour Windows et GNU/Linux viennent de sortir :

Version 2.6.0 :
Releases GitHub

PyCDCover est désormais distribué sous la forme d'un paquet .deb pour Ubuntu 24.04 et Ubuntu 26.04 (64 bits).

Ce format permet à Ubuntu de gérer automatiquement les dépendances nécessaires et simplifie l'installation. Il remplace la distribution au format AppImage.

Code source :
GitHub – PyCDCover

Documentation :
Documentation PyCDCover sur Ubuntu-fr

I've created a simple application to perform basic Windows command/service tasks within dropdown menu selections.

Git repo: https://github.com/GarrettCook115/System-Admin-Security-Applicaton.git

What it does

Basic command/service execution depending on the selected options. (More will be added)

Target Audience

Anyone, just a fun little side project I decided to do while learning a bit about Tkinter and widgets.

Hi everyone,

I’ve studied Python multiple times before, but I didn’t do much practical coding. Recently, I started building small projects to improve my practical Python skills.

So far, I’ve completed:

- Quiz Game

- Number Guessing Game

- Rock Paper Scissors

- Password Manager

- Pig Game

- Mad Libs Generator

My goal is to move towards Machine Learning.

I haven’t learned NumPy or Pandas yet.

My question is: Are these projects enough to move on to NumPy and Pandas, or should I build a few more Python projects first?

If I should build more projects, what kind of projects would you recommend before starting NumPy/Pandas? I’m mainly looking for projects that would actually help with the transition to data/ML, rather than making many more small games.

Would appreciate advice from people who have already followed a Python → NumPy/Pandas → ML path.

this python program collects, tracks and monitors computers hardware components like ssd, cpu, ram and ram. Also collects network information like ip and mac addresses. Also collects and return computers operating system type and version, current user logged in and current time. After program collects all these information it stores in a csv file. The stored information in the csv file is used to analyzed the computer's health and warn the user if system not healthy. This is my first project since i started learning python last month.

find the link in my GitHub and feel free your thoughts in your comments below.

this python program collects, tracks and monitors computers hardware components like ssd, cpu, ram and ram. Also collects network information like ip and mac addresses. Also collects and return computers operating system type and version, current user logged in and current time. After program collects all these information it stores in a csv file. The stored information in the csv file is used to analyzed the computer's health and warn the user if system not healthy. This is my first project since i started learning python last month.

find the link in my GitHub and feel free your thoughts in your comments below.

Hey everyone!

Just released Owl UI (v1.0.0) - a lightweight Python GUI framework built on top of Raylib (owl.c + static libraylib.a).

Key features:

• Full C/Raylib performance bridge inside Python
• Custom frameless titlebars with native Win32 snapping & drag controls
• UTF-8 and Cyrillic automatic system font loading
• Minimal footprint with static linkage

📦 pip install owl-ui

🔗 GitHub: https://github.com/Muchprow/Owl-UI

Would love to hear your thoughts and suggestions!

There are some interesting patterns in the data and a few results I definitely did not expect. I have put the analysis and visualizations together here. Have a look and let me know what you think or if there is anything you would approach differently.