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

Posted by AutoModerator@reddit | Python | View on Reddit | 10 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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Straight_Tone_8059@reddit

Hi everyone!!! Earlier this week I was working and testing this app: EasySubber

EasySubber is a Python-based application that extracts audio from video files, transcribes it using Whisper, and generates subtitles in .srt format. It features a GUI built with Tkinter and utilizes FFmpeg for audio processing.

Video demo: https://youtu.be/eKg2ikLaR7w
Source code: https://www.github.com/ignabelitzky/easy-subber

Any feedback is welcome, and please consider following me on GitHub: https://www.github.com/ignabelitzky

chinnu34@reddit

This is pretty cool, I wonder if this can work as a VLC plugin. It might need to generate tokens online so maybe you will encounter new problem but it would be an interesting project.

That's a very cool idea to make a plugin for VLC that generates the tokens on the fly... maybe I'll try in the future.

SmoothTurtle872@reddit

3d model processing + exporting as exe: I'm trying to fix an error with pyinstaller not letting my exe files run, so that I can make an obj to minecraft particle conversion script

Zestyclose_Taro4740@reddit

I watched attack on titans. Feeling lost in shiganshi.

Valer100@reddit

I'm working on winaccent. It is a Python module that allows you to obtain Windows' accent color or a shade of it. It also allows you to listen for accent color changes and update your app's colors accordingly. Works on both Windows 11 and 10 and doesn't require additional dependencies. Useful if you are creating a GUI using Python and you want to style it with the system's accent color. You can install it using `pip install winaccent`. The documentation and the source code is available on GitHub here: https://github.com/Valer100/winaccent . Feedback is greatly appreciated. If you find this module useful, please consider starring it on GitHub.

aardvark_licker@reddit

I'm fairly new to python, so it's just text manipulation.

The premise is to rewrite sentences where the words have all the letters written in random order, except for the first and letters.

Example: (from the film 'Jaws')

"You're gnona need a bgeigr baot."

It's still just barely legible.

I can do it for single words, yet to get it right for sentences...

tbc

realpm_net@reddit

I’ll go. I’m working on something I’m calling “Beets But Worse”. The genesis was this: I have an extensive music library that I prefer to use rather than streaming services. I run a lot and want to be able to create smart playlists based on BPM, genre, tags, and similarity.

I use Plex and, while its smart djs and playlists are decent, there is no bpm. So, what started out as a simple scan of my library and building a simple db to store Plex track data and bpm analysis via librosa, now also includes pulling track and artist metadata from Last.fm, MusicBrainz, Discogs, and Spotify.

I’m hoping to get all my data pulls and db operations done this weekend. After that, I’m going to work on clever ways to use it all to automate the process of making smart, bpm-aware playlists.

There’s no money in this. I might publish a library with all the analysis tools. I’m just a self-taught hobbyist, and I write inefficient code.

EuropeanSumo27@reddit

This is interesting. I was doing something similar however my music is spread all over many drives. Are you manually entering your mp3 metadata into a DB?

All of the track data is automatically inserted into the db through python funcs, and the initial set is exported from Plex, then parsed and inserted into the db. The calls to the other services (eg last.fm etc) either update or add to that initial Plex data.