Turn your desktop into your todo list

This is my second project ever and I thought I'd make something I wanted personally.

**What my project does:** This little script will take your todo.txt file and make an image out of it. Then it will set it as your background wallpaper image.

This currently only works for Linux, I'm on Mint XFCE, but it should be really easy to configure to work with other distros or os.I included instructions in the readme on how to add an alias to your bash file so you can just run 'todo' in the terminal and have the wallpaper image update after making changes to your txt file.

**Target Audience:** Anyone looking for help being productive. Anyone like me that gets sidetracked easily when trying to keep multiple small tasks in my head during the day.

**Comparison:** I couldn't find anything like this for Linux that fit my needs, so I can't compare to any other programs honestly.

This is simple and silly but I thought I'd share it in case anyone else wanted something like this.

check it out: https://github.com/CHaagFernandez/Desktop-Todo.git

/r/Python
https://redd.it/1hr9bah

Appropriate framework for thesis

Hi everyone!

I'm currently working on my bachelor's thesis in Computer and systems sciences. The focus of my thesis is a comparison of Java and Python in terms of performance and scalability when implementing REST APIs.

For this, I’m using Spring Boot on the Java side. However, I’m unsure which Python framework would be the best equivalent for this comparison. Ideally, it should support REST API development, have a strong community, and be well-suited for performance and scalability testing. So far, I’ve considered Django and Flask, but I’m open to suggestions.

I already know a bit of Flask, but it feels like Flask is a bit too small to offer a fair comparison to Spring Boot.

What do you guys think is the most suitable Python framework to compare with Spring Boot?

/r/Python
https://redd.it/1hrko7z

BLIP CAM: Live Image Captioning - Real-Time Video Stream Description Using AI

Showcase

Hey everyone! I've developed a real-time image captioning system that uses your webcam to generate live descriptions of what it sees. It's powered by BLIP (Bootstrapping Language-Image Pre-training) model, and it overlays the captions right on your video feed in real-time.

What My Project Does: This is a Python application that turns on your webcam and starts describing what it sees in real-time. It uses Salesforce's BLIP model to analyze each frame and generate natural language descriptions. The system shows you the caption, frame rate, and even GPU usage right on the screen. You can save frames with their captions, pause the description whenever you want, and it's all optimized to run smoothly on your computer.

Target Audience: This project is perfect for:

Developers working on accessibility tools for visually impaired users
Anyone interested in computer vision and natural language processing
People building smart security systems or educational tools
Developers looking to add automated scene description to their applications

Technical Details: The system uses a multi-threaded architecture to handle video streaming and caption generation separately, ensuring smooth performance. It supports GPU acceleration if you have an NVIDIA card, and you can easily configure things like resolution and caption update frequency. All the core

/r/Python
https://redd.it/1hrnv69

Ask Reddit: Has anyone used the Frappe Framework?

Hey everyone.

I normally use Django / FastAPI but recently came across Frappe Framework and it seems like a nice way to build internal apps, although it's quite opinionated.

Was just wondering if anyone has any tales operating Frappe apps (outside of ERPNext context)?

/r/Python
https://redd.it/1hrq8qn

D Monthly Who's Hiring and Who wants to be Hired?

For Job Postings please use this template

>Hiring: [Location\], Salary:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] and [Brief overview, what you're looking for\]

For Those looking for jobs please use this template

>Want to be Hired: [Location\], Salary Expectation:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] Resume: [Link to resume\] and [Brief overview, what you're looking for\]

​

Please remember that this community is geared towards those with experience.

/r/MachineLearning
https://redd.it/1hq5o1z

I tried to compare FastAPI and Django

Hi there, I’ve written a blog post comparing FastAPI and Django. It’s not about starting a fight, just providing points to help you choose the right one for your next project.

Hope you find it helpful!

/r/django
https://redd.it/1hrs2c3

Calling APscheduler during flask initiation

Hi Everyone,

I am using apscheduler inside my flask application.

Note: I am not using Flask\-APScheduler(flask extension). I am using its standalone library(pip install APScheduler)

========Let me give the context of my application ======================

i am starting my scheduler in create_app() function in application/__init__.py file. My code looks something like this

inside statusPollingScheduler.py file
def getStatusUpdatePollingScheduler():
   
    executors={
        'default':ThreadPoolExecutor(1)
    }
   
    scheduler = BackgroundScheduler(executors=executors)
    scheduler.addjob(
        controllerThread,
        'interval',
        seconds=15,
        maxinstances=1,  
        coalesce=True,
        args=(60,) #(timeout,)
    )
   
    return scheduler

inside application/init.py file

def startPollingScheduler():
    from .statusPollingScheduler import getStatusUpdatePollingScheduler
   

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

A library for multi-objective community detection

Hello everyone, I've been working on a project for about three months to create an evolutionary algorithm for detecting communities in graphs (as in the example on the link below). I first chose Rust because of its speed, but I ended up exporting it to Python because I didn't see any implementation of this specific tool and I thought it would be interesting to contribute to this project.

My project tries to find communities in graphs using a function that maximizes internal links and minimizes external ones, different from algorithms like Leiden or Louvain that have only one objective function, the target audience is the data science community.

Well, I'm here sharing the library (it's in beta, has some debug prints and is far from being optimized for the Python GIL environment). However, I would like suggestions for what I can improve before releasing a stable version.Lib: https://github.com/0l1ve1r4/re-mocd

/r/Python
https://redd.it/1hrzj5e

Help with secretkey

I know I have to set the secret\key using environment variables. I know how to do it. The only problem is that if I were to host my web application on a server, os.environ.get(variable) will no longer know where the variable is present locally on my machine.
Maybe I'm taking the wrong approach or do I need to create some sort of connection from the server to my PC? (although this way I would have to leave it on all the time, and it wouldn't make sense).

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

How to calculate the resources used by my entire django project

I want to know a way to calculate the resources (cpu and ram) my django project uses; I need that information to know the infrastructure requirements of the server where I will deploy.

/r/django
https://redd.it/1hs8usz

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/1hs8l05

Model vs AbstractUser vs AbstractBaseUser

I'm building a web app that deals with the usual CRUD. A user should be able to sign in, it's data stored in posgresql, and perform login with email and passoword, afterwards. Also, there would be foreign keys as expected and the user might be able to upload files such as images, csv tables and other forms of data science information.

Creating a class model with models.Model is more common, so finding examples and bug soutions are easy. But at same time, people advise against it for new projects, especially with different auth methods (such as using email instead of username for login).

So basically AbstractBaseUser gives more freedom, but it's more complex and easier to make mistakes. And so I'll get much more bugs than now.

Finally, AbstractUser \~\~ Model, I guess. Wich option would be more appropriate and simple to use to build a website as above?

/r/django
https://redd.it/1hs7wzb

Question about folder structure!

Hello everyone, how are you?

What is the best approach to a folder structure in a Django project?

The project will grow gradually and I would like a concise structure that allows for this growth, while not being a mess and making it easy for other people to start coding in this structure if necessary.

The project will be a system for schools, with two "fronts", basically a class management system, where teachers will be able to publish classes. There are more things regarding the application, but this is its core.

This would be the first "front", the second "front" is the part of the students, who will enter the portal and be able to see these classes.

I'm using Django as FullStack, with Templates and using Bootstrap for styling, PostgreSQL as database.

Could anyone tell me a good folder structure for a project like this that will grow?

Cheers!

/r/django
https://redd.it/1hs30it

How to make Django Manager and Model's interactions follow the Open/Closed Principle?

I am designing models for my Django App and am concerned with decoupling the caller's logic from the model's implementation, so that future changes to the model itself do not require changes downstream in the codebase. In short adhering to the Open/Closed Principle (OCP).

I am wondering what is a best practice to implement this while leveraging Django's framework best.

Conceptually, I believe it would make sense to do the following:

from django.db import models

class FooManager(models.Manager):
    def is_active(self):
        return self.filter(is_active=True)

class Foo(models.Model):
    _bar = models.CharField(max_length=100, db_column="bar")
    is_active = models.BooleanField(default=True)

    objects = FooManager()

    @property
    def bar(self):
        return self._bar
    
    @bar.setter
    def bar(self, value):
        if not self._bar:
            self._bar = value
        else:
            #some setter logic
            pass

1. Custom Manager

/r/django
https://redd.it/1hsh1rz

Discussion How is LLM changing your job as a ML engineer

I just watched Andrew Ng’s talk on AI agents. He talked about how traditional ML tasks could take 6 months but now it only needs a weekend with LLMs.

It’s at 2-4mins into this talk. https://youtu.be/KrRD7r7y7NY?si=XDCAm7NFTMO3ayn3

Specifically, I guess he’s saying you can do zero shot learning with LLMs instead of gathering large amounts of labelled data, build and deploy a model. He used the example of sentiment analysis tasks.

I wonder if any one is experiencing this shift in productivity at work as a ML scientist.

My experience is companies don’t want to use chatGPT directly and try to build their own in house LLMs, I guess for data privacy and cost concerns.

Please share your experience.

/r/MachineLearning
https://redd.it/1hs41pt

Should I go for Django?

Hey everyone, I am in 2nd Year of My bachelor's degree in Computer Science. I have been using Flask for the past 1 year. Many people have told me that there is no future of Flask. I know that Django is feature rich whereas Flask provides a minimalist approach where you only install what you need. But the problem arises is that I am concerned about my skills in the long run. Is Flask used at the production level? My goal is to crack Big Tech company. Is it really worth the hassle to move towards Django or should I move with Flask?

I hope to hear from the community.


#django #learndjango #python #drf #rest #api

/r/django
https://redd.it/1hsi5cz

need help with linking

hello everyone
i am a first year engineering student and we have a group project and ive been assigned the linking part
we have the backend in python and front end in html(css and js) and i want to know how should i link them. I did a bit of research and learnt about flask but i cant find the right resource to learn it


the project is
This project leverages multiple APIs and NLPs to deliver a personalized learning experience. The system uses the YouTube data API to recommend videos based on user-entered keywords. Video content is transcribed using YouTube transcribe API and refined with NLP to provide concise summaries.


An interactive quiz model helps users test their knowledge. Additionally, a daily goals calendar allowing users to set, track, and manage their objectives. Also a database to log user data and let user save notes from the searched content.

The system combines seamless backend integration with a user-friendly interface, offering personalized insights and efficient learning support.


the backend is already done by my team member and we are working on the frontend
i do not have any knowledge about linking so any

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

For those that use Python in their job: Do you like Python?

I'm just curious about whether you like it less or more than other programming languages you've used in your career. Does anything about Python annoy you? Is there anything that continues to feel satisfying to code?

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

Wanna tag along a professional Django project?

I’m a Sr Backend Developer and I’m about to start a brand new Django project for a little side gig I have.

I lurk a lot here and I see many of the same questions over and over. I figured some of you would like to tag along a professional (but small) Django project.

Note: this is gonna be completely free, but I’m not going to actively teach; more like stream and comment during my development process. Maybe answer a few questions here and there.

The project will involve celery, celery beat, PostgreSQL, and one or more LLMs yet to be chosen.

Probably no frontend, and I’ll do everything with Django-unfold customising the admin panel. And no, you won’t be able to use any of the code for commercial purposes.

Comment if interested and we’ll see the feasibility. I am in CET.

UPDATE:
Okay I wasn't expecting this much traction. I just created a Discord server to manage this. Apologies in advance, I suck at social media and Discord. I'm gonna f*ck something up. [Join here](https://discord.gg/tMNecyeU)

I will plan there the sessions. They will probably be mostly during weekends because I have a full time job to attend to.

UPDATE 2: since many have DM’d me in this regard,

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

SciPy 1.15.0 released: Full sparse array support, new differentiation module, Python 3.13t support

# SciPy 1.15.0 Release Notes

SciPy 1.15.0 is the culmination of 6 months of hard work. It contains
many new features, numerous bug-fixes, improved test coverage and better
documentation. There have been a number of deprecations and API changes
in this release, which are documented below. All users are encouraged to
upgrade to this release, as there are a large number of bug-fixes and
optimizations. Before upgrading, we recommend that users check that
their own code does not use deprecated SciPy functionality (to do so,
run your code with python -Wd and check for DeprecationWarning s).
Our development attention will now shift to bug-fix releases on the
1.15.x branch, and on adding new features on the main branch.

This release requires Python 3.10-3.13 and NumPy 1.23.5 or greater.

# Highlights of this release

Sparse arrays are now fully functional for 1-D and 2-D arrays. We recommend that all new code use sparse arrays instead of sparse matrices and that developers start to migrate their existing code from sparse matrix to sparse array: [`migration_to_sparray`](https://scipy.github.io/devdocs/reference/sparse.migration_to_sparray.html). Both `sparse.linalg` and `sparse.csgraph` work with either sparse matrix or sparse array and work internally with sparse array.
Sparse arrays now provide basic support for n-D arrays in the COO format including add, subtract, reshape, transpose, matmul, dot, tensordot and others. More functionality is

/r/Python
https://redd.it/1hsqtz1