Django bugfix release issued: 5.1.2
https://www.djangoproject.com/weblog/2024/oct/08/bugfix-releases/

/r/django
https://redd.it/1fz1xdr

Beginner's Guide for Django Deployment

Hey all,

I've noticed beginners struggling with Django deployment, so I wanted to share this free and open-source guide. It is beginner-friendly, explains the process clearly, and helps you get your project deployed quickly.

Any contributions are welcome from the community to improve this guide. If you find it useful, please consider giving the GitHub repo a star ⭐ (it helps a lot!)

Link: Beginner's Guide for Django Deployment

GitHub Repo: https://github.com/bhavya-tech/django-deployment

Feel free to ask questions here, I will be happy to help!

Happy coding!

/r/django
https://redd.it/1fz1t5d

Wednesday Daily Thread: Beginner questions

# Weekly Thread: Beginner Questions 🐍

Welcome to our Beginner Questions thread! Whether you're new to Python or just looking to clarify some basics, this is the thread for you.

## How it Works:

1. Ask Anything: Feel free to ask any Python-related question. There are no bad questions here!
2. Community Support: Get answers and advice from the community.
3. Resource Sharing: Discover tutorials, articles, and beginner-friendly resources.

## Guidelines:

This thread is specifically for beginner questions. For more advanced queries, check out our [Advanced Questions Thread](#advanced-questions-thread-link).

## Recommended Resources:

If you don't receive a response, consider exploring r/LearnPython or join the Python Discord Server for quicker assistance.

## Example Questions:

1. What is the difference between a list and a tuple?
2. How do I read a CSV file in Python?
3. What are Python decorators and how do I use them?
4. How do I install a Python package using pip?
5. What is a virtual environment and why should I use one?

Let's help each other learn Python! 🌟

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

Why Django supports the Open Source Pledge
https://www.djangoproject.com/weblog/2024/oct/08/why-django-supports-the-open-source-pledge/

/r/django
https://redd.it/1fzipz8

so i made a download website LOL

Yeah, so I'll probably get tracked down by the government, but who cares? XD Look at that site!

Basically, it's a download site for movies. They're in zip files, etc.


FBI Comin for me boys

https://javu.xyz/

/r/flask
https://redd.it/1fzn2vq

I Made Spotify Premium, But This Time It's Free

A while ago, I shared how I built a Python noscript to download my Spotify Liked Songs as MP3s. Since then, I decided to take the project one step further. Instead of manually running the noscript every time I added new songs, I’ve now automated the entire process to check for new liked songs every day and download them automatically.

Here’s how it works:

- Extracts my Liked Songs from Spotify using the spotipy library.

- Compares them with the list of songs already downloaded to avoid duplicates.

- Uses youtubesearchpython to find the top YouTube result for any new songs.

- Downloads the audio as an MP3 using yt-dlp and stores them in the Songs directory on my desktop.

It’s simple, but it now saves me even more time. I no longer have to worry about manually managing my favorite songs!

This project was so fun to work on, and now I've made it even smarter, by making it run automatically using the Windows built-in Task Scheduler!


I was thinking of making this like a paid tool, with a small cost of $2, but I figured let's share this with people so they can also benefit :)

Here's the GitHub repo:
https://github.com/aneeb02/SpotiFlopy

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

Routes not getting registered. 404 error

I'm using Flask for the first time, and I'm a baby programmer. This is my base template.

from flask import render_template
from app import app
from app.data_handler import DataHandler

data_handler = DataHandler()

@app.route('/')
def home():
    return render_template('about.html')

@app.route('/about')
def about():
    return render_template('about.html')

@app.route('/my_works')
def my_works():
    projects = data_handler.get_projects()
    print(projects)  # Check what projects are loaded
    return render_template('my_works.html', projects=projects)

@app.route('/project/<int:project_id>')
def project_detail(project_id):
    project = data_handler.get_project(project_id)
    if project is not None:
        return render_template('project_detail.html', project=project)
    else:
        print("Project not found")
        return "Project not found", 404


/r/flask
https://redd.it/1fzi7sd

N The 2024 Nobel Prize in Chemistry goes to the people Google Deepmind's AlphaFold. One half to David Baker and the other half jointly to Demis Hassabis and John M. Jumper.

Announcement: https://twitter.com/NobelPrize/status/1843951197960777760

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

is there a way to make pyright recognize related name fields?

from django.db import models

class A(models.Model):
id = models.IntegerField()

class B(models.Model):
id = models.IntegerField()
fkA = models.ForeignKey(A, ondelete=models.CASCADE, relatedname="fkB")

a = A(id=1)
b = B(id=2, fkA=a)
a.fkB #Here it says it cannot access attribute fkB for class A

take for example the code snippet above. is there a way to make pyright know that fk\B fields for class A exists?

/r/django
https://redd.it/1fzlr75

Do multiple requests create multiple instances of a middleware object?

For example, let's say you have some middleware that does something with process_view(), to run some code before a view is rendered. If you have you Django app deployed with Guincorn and Nginix, does every client request get its own instantiation of that middleware class? Or do they all share the same instantiation of that object in memory wherever your code is deployed? (or does each of Gunicorn's workers create its own instantiation?)

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

What personal challenges have you solved using Python? Any interesting projects or automations?

Hey everyone! I'm curious—what have you used Python for in your daily life? Are there any small, repetitive tasks you've automated that made things easier or saved you time? I'd love to hear about it!


I stumbled upon an old article on this Python a while ago. I think it's worth revisiting this topic about it again.



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

N Jurgen Schmidhuber on 2024 Physics Nobel Prize

The NobelPrizeinPhysics2024 for Hopfield & Hinton rewards plagiarism and incorrect attribution in computer science. It's mostly about Amari's "Hopfield network" and the "Boltzmann Machine."



1. The Lenz-Ising recurrent architecture with neuron-like elements was published in 1925 . In 1972, Shun-Ichi Amari made it adaptive such that it could learn to associate input patterns with output patterns by changing its connection weights. However, Amari is only briefly cited in the "Scientific Background to the Nobel Prize in Physics 2024." Unfortunately, Amari's net was later called the "Hopfield network." Hopfield republished it 10 years later, without citing Amari, not even in later papers.

2. The related Boltzmann Machine paper by Ackley, Hinton, and Sejnowski (1985) was about learning internal representations in hidden units of neural networks (NNs) S20. It didn't cite the first working algorithm for deep learning of internal representations by Ivakhnenko & Lapa. It didn't cite Amari's separate work (1967-68) on learning internal representations in deep NNs end-to-end through stochastic gradient descent (SGD). Not even the later surveys by the authors nor the "Scientific Background to the Nobel Prize in Physics 2024" mention these origins of deep learning. (BM also did not cite relevant prior work by Sherrington & Kirkpatrick &

/r/MachineLearning
https://redd.it/1fzw5b1

PEP 760 – No More Bare Excepts

PEP 760 – No More Bare Excepts

This PEP proposes disallowing bare except: clauses in Python’s exception-handling syntax.

- https://peps.python.org/pep-0760/
- https://discuss.python.org/t/pep-760-no-more-bare-excepts/

/r/Python
https://redd.it/1fzxwj3

Speeding up unit tests in CI/CD

I have a large Django project that currently takes ca. 30 minutes to run all the unit tests serially in our CI/CD pipeline and we want speed this up as it's blocking our releases.

I have a Ruby background and am new to Python - so I'm investigating the options available in the Python ecosystem to speed this up. So far I've found:

[pytest-xdist](https://pypi.org/project/pytest-xdist/)
pytest-split
[pytest-parallel](https://pypi.org/project/pytest-parallel/)
pytest-run-parallel
[tox](https://tox.wiki/en/latest/index.html) parallel (not exactly what I need, as I only have one environment)
CircleCI's test splitting - I've used this for Ruby, and it didn't do so well when some classes had a lot of tests in them

I'd love to hear your experiences of these tools and if you have any other suggestions.

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

How should I get started with Django?

I recently started to work with Django but I'm completely utterly humbled and devastated at the same time whenever I try to add a new function with an API call into my react project. I really don't understand the magic behind it and usually need to get help from other colleagues.
The Django documents are (I'm sorry) terrible. The more I read into it the more questions arise.
Are there any sources that can give me a better insight on how to work with API in Django and maybe API in general?

I appreciate any sources given (except Django docs)

/r/djangolearning
https://redd.it/1g02p1b

in 2024 learn flask or django?

hi everyone, i was wonder which one of these frameworks is better and worth to learn and make money? flask? django? or learn both?

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

Static files serving - S3 bucket alternative

Hello guys. I wanted to build an app with angular in frontend and Django in backend. The client must be able to click on a link and download a pdf. But the user must login to enter the app. How can I serve these pdfs? A friend told me about an S3 bucket. But is there any open source alternative for this? Is there any better solution? How to better integrate this solution with my Django authentication?

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

Thursday Daily Thread: Python Careers, Courses, and Furthering Education!

# Weekly Thread: Professional Use, Jobs, and Education 🏢

Welcome to this week's discussion on Python in the professional world! This is your spot to talk about job hunting, career growth, and educational resources in Python. Please note, this thread is not for recruitment.

---

## How it Works:

1. Career Talk: Discuss using Python in your job, or the job market for Python roles.
2. Education Q&A: Ask or answer questions about Python courses, certifications, and educational resources.
3. Workplace Chat: Share your experiences, challenges, or success stories about using Python professionally.

---

## Guidelines:

- This thread is not for recruitment. For job postings, please see r/PythonJobs or the recruitment thread in the sidebar.
- Keep discussions relevant to Python in the professional and educational context.

---

## Example Topics:

1. Career Paths: What kinds of roles are out there for Python developers?
2. Certifications: Are Python certifications worth it?
3. Course Recommendations: Any good advanced Python courses to recommend?
4. Workplace Tools: What Python libraries are indispensable in your professional work?
5. Interview Tips: What types of Python questions are commonly asked in interviews?

---

Let's help each other grow in our careers and education. Happy discussing! 🌟

/r/Python
https://redd.it/1g05xw8

D Why is there so little statistical analyses in ML research?

Why is it so common in ML research to not do any statistical test to verify that the results are actually significant? Most of the times, a single outcome is presented, instead of doing multiple runs and performing something like a t-test or Mann Whitney U Test etc. Drawing conclusions based on a single sample would be impossible in other disciplines, like psychology or medicine, why is this not considered a problem in ML research?


Also, can someone recommend a book for exactly this, statistical tests in the context of ml?

/r/MachineLearning
https://redd.it/1fznaa9

ParScrape v0.4.6 Released

# What My project Does:

Scrapes data from sites and uses AI to extract structured data from it.

# Whats New:

Added more AI providers
Updated provider pricing data
Minor code cleanup and bug fixes
Better cleaning of HTML

# Key Features:

Uses Playwright / Selenium to bypass most simple bot checks.
Uses AI to extract data from a page and save it various formats such as CSV, XLSX, JSON, Markdown.
Has rich console output to display data right in your terminal.

# GitHub and PyPI

PAR Scrape is under active development and getting new features all the time.
Check out the project on GitHub or for full documentation, installation instructions, and to contribute: [https://github.com/paulrobello/par\_scrape](https://github.com/paulrobello/par_scrape)
PyPI https://pypi.org/project/par\_scrape/

# Comparison:

I have seem many command line and web applications for scraping but none that are as simple, flexible and fast as ParScrape

# Target Audience

AI enthusiasts and data hungry hobbyist

/r/Python
https://redd.it/1g06arb

What to use instead of callbacks?

I have a lot of experience with Python, but I've also worked with JavaScript and Go and in some cases, it just makes sense to allow the caller to pass a callback (ore more likely a closure). For example to notify the caller of an event, or to allow it to make a decision. I'm considering this in the context of creating library code.

Python lambdas are limited, and writing named functions is clumsier than anonymous functions from other languages. Is there something - less clumsy, more Pythonic?

In my example, there's a long-ish multi-stage process, and I'd like to give the caller an opportunity to validate or modify the result of each step, in a simple way. I've considered class inheritance and mixins, but that seems like too much setup for just a callback. Is there some Python pattern I'm missing?

/r/Python
https://redd.it/1g02dtg