D Accepted NeurIPS 2024 paper claimed to be solving a novel problem as first work, but ignores 5 prior works

At NeurIPS 2024 I found a paper that got accepted that positions its main contribution in the form of “Existing algorithms for X ignore Y. We adapt algorithm Z for X to account for Y”.

On OpenReview I see that the reviewers in particular praised the novelty of the work, and recognised Y as an important aspect that had been ignored in the field of X.

Now the interesting bit: co-authors and I published a paper in Springer’s Machine Learning journal in 2023 that also proposes an algorithm for X that account for Y. We were also not the first to study the problem setting of X with Y: our paper’s related work section discusses 4 papers that have all proposed algorithms for X that account for Y. One is even from NeurIPS (2017), and the oldest one dates back to 2012 (an AAAI paper).

The authors of this 2024 NeurIPS paper completely missed all this prior literature and believed they were the first, and so did all the reviewers.

This week I e-mailed the authors of this NeurIPS 2024 paper and they acknowledged that these works (mine + the 4 others) indeed were all working on the same problem setting, mentioned that they

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

Saturday Daily Thread: Resource Request and Sharing! Daily Thread

# Weekly Thread: Resource Request and Sharing 📚

Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!

## How it Works:

1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.

## Guidelines:

Please include the type of resource (e.g., book, video, article) and the topic.
Always be respectful when reviewing someone else's shared resource.

## Example Shares:

1. Book: "Fluent Python" \- Great for understanding Pythonic idioms.
2. Video: Python Data Structures \- Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators \- A deep dive into decorators.

## Example Requests:

1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.

Share the knowledge, enrich the community. Happy learning! 🌟

/r/Python
https://redd.it/1gxm8u3

Python isn't just glue, it's an implicit JIT ecosystem

Writing more Rust recently led me to a revelation about Python. Rust was vital to my original task, but only a few simplifications away, the shorter Python version leapt to almost as fast. I'd stumbled from a cold path to a hot path...

This is my argument that Python, through a number of features both purposeful and accidental, ended up with an implicit JIT ecosystem, well-worn trails connecting optimized nodes, paved over time by countless developers.

I'm definitely curious to hear how this feels to others.
I've been doing Python half my life (almost two decades) and Rust seriously for the last few years.
I love both languages deeply but the pendulum has now swung back towards Python not as I won't use Rust but as I feel my eyes are now open as to how when and how I should use Rust.

Python isn't just glue, it's an implicit JIT ecosystem

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

Junior Dev Looking for Django Collab

Hello , I'm a junior dev wanted to get my hands dirty with some Django projects. If you're interested in teaming up or have a project in mind, drop me a message.

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

Right way to start with Django?

Hey, I know this question may seem obvious but I don't really know where to start.

I work in marketing, I use Python for web crawling and data analysis + I have some experience with HTML and JavaScript creating A/B tests in VWO and implementing tracking tools in GTM. I also have 2+ years of experience in SQL (mainly managing 50+ databases in BigQuery) and creating data transfers in Google Cloud (YT -> BigQuery or Google Ads -> BigQuery and so on).

I would like to focus more on Python and django (e.g. to be able to embed pandas reports in a dashboard for the rest of the team instead of taking screenshots of Jupyter notebooks etc.) but I don't know where to start. I'm quite good at programming console applications etc. in Python but Django seems like a very complicated subject that will require knowledge of additional topics.

So... if you were not a computer science student/programmer but had some knowledge of Python and IT - how would you approach learning Django? Maybe I'm underselling my skills but I don't feel very confident in my skills since I'm primary 40+ marketing guy.

/r/djangolearning
https://redd.it/1gxvxp1

Table

Hi, so far I have been creating my html table manually. I saw that there are various libraries that you can install. I need a table that handles crud options and filters
I am bewildered as there are so many of them. Can you suggest me based on your experience the best one ?
Thanks

/r/django
https://redd.it/1gxx597

Django image storage inside media folder for a freelance project

I’m working on a freelance project for an alumni website that’s expected to have very low traffic. The client chose to deploy it on a very cheap shared Linux server, so performance will likely be slow. The backend is a Django app with features like a gallery section and events, meaning it will need to handle multiple photos. Since we’re not investing in object storage like S3, what are the downsides of storing images directly in the media folder on the server?

/r/django
https://redd.it/1gy8ump

I created free internet clipboard in Flask (for file transfers across devices)

I made it because we needed to share files in university computers & WhatsApp login was taking too long.... So needed a faster approach that does not require login..

Link: Internet Clipboard.

/r/flask
https://redd.it/1gy248r

Bagels - Expense tracker that lives in your terminal (TUI)

Hi r/Python! I'm excited to share Bagels \- a terminal (UI) expense tracker built with the textual TUI library! Check out the git repo for screenshots.

# Target audience

But first, why an expense tracker in the terminal? This is intended for people like me: I found it easier to build a habit and keep an accurate track of my expenses if I did it at the end of the day, instead of on the go. So why not in the terminal where it's fast, and I can keep all my data locally?

# What my project does

Some notable features include:

Keep track of your expenses with Accounts, (Sub)Categories, Splits, Transfers and Records
Templates for recurring transactions
Keep track of who owes you money in the people's view
Add templated records with number keys
Clear and concise table layout with collapsible splits
Transfer to and from non-tracked accounts (outside of wallet)
"Jump Mode" Navigation
Fewer fields to enter per transaction by default input modes
Insights
Customizable config, such as First Day of Week

Comparison: Unlike traditional expense trackers that are accessed by web or mobile, Bagels lives in your terminal. It differs as an expense tracker tool by providing more convenient input fields and a

/r/Python
https://redd.it/1gy0r1v

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

# 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:

1. Show & Tell: Share your current projects, completed works, or future ideas.
2. Discuss: Get feedback, find collaborators, or just chat about your project.
3. 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:

1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
2. Web Scraping: Built a noscript to scrape and analyze news articles. It's helped me understand media bias better.
3. 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! 🌟

/r/Python
https://redd.it/1gydn91

Which is the Best Django Course on YouTube in 2024 for Beginners?

Hey everyone!

I'm looking to dive into Django and start my journey as a Python developer. As a beginner, I'm hoping to find a free, high-quality Django course on YouTube that can walk me through the basics and help me build some beginner-friendly projects.

I've seen some options pop up, but it's hard to decide which one is the most up-to-date and beginner-friendly in 2024. If you've come across any YouTube creators or playlists that do a great job explaining Django from scratch, please let me know!

Bonus points if the course includes:

* Step-by-step tutorials
* Project-based learning
* Clear explanations of concepts like models, views, templates, and databases

Thanks in advance for your suggestions!

/r/django
https://redd.it/1gy7bc0

What is the best source to learn methods in GCBVs?

I find difficulting in understanding why and how methods are being used. I want to learn.

/r/djangolearning
https://redd.it/1gx5peh

Django Hosting

I noticed many people using digitialocean droplets for hosting django, and I wanted to see if anyone recommends hostinger as their VPS deal seems clearly better. $ 5.99 /mo for 24-month term

2 vCPU cores, 8 GB RAM, 100 GB NVMe disk space, 8 TB bandwidth

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

FLASK/SQLite NIGHTMARE - Please help!

(UPDATE: THANK YOU! AFTER HOURS I FIGURED IT OUT)

Hey guys,

So I'm new to the whole web app thing, but I've been following this tutorial on how the basics work: https://www.youtube.com/watch?v=dam0GPOAvVI

Here's the github for the code he's also used:
https://github.com/techwithtim/Flask-Web-App-Tutorial/tree/main

Basically, I feel like I've done GREAT so far, following along well. This is what I have managed to produce so far with working pages, routes, re-directs etc:

https://preview.redd.it/gcb1cy9itn2e1.png?width=1920&format=png&auto=webp&s=31083b872512910c5d445d0d6b19a0f3254ad931

BUT... I've hit a complete and utter stop when it comes to putting this \^ data into the SQ Database.

This is the code I have for this area and all my other files copy the same names, as well as my html files:

u/auth.route('/register', methods='GET', 'POST')
def register():
if request.method == 'POST':
email = request.form.get('email')
username = request.form.get('username')
password1 = request.form.get('password1')
password2 = request.form.get('password2')



/r/flask
https://redd.it/1gy0rv5

ASP.NET and Django. What's the difference?

I'd like to say that I'm not looking for an answer about which one is better, but that's a lie. However, this is subjective for everyone.

If there are anyone here who has experience with both ASP.NET and Django, please share your impressions.

P.S. I searched, but if anyone made a comparison, it was years ago!

/r/djangolearning
https://redd.it/1gv90p8

Django Rest Framework Authentication/Permission tip

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

Benchmark: DuckDB, Polars, Pandas, Arrow, SQLite, NanoCube on filtering / point queryies

While working on the NanoCube project, an in-process OLAP-style query engine written in Python, I needed a baseline performance comparison against the most prominent in-process data engines: DuckDB, Polars, Pandas, Arrow and SQLite. I already had a comparison with Pandas, but now I have it for all of them. My findings:

A purpose-built technology (here OLAP-style queries with NanoCube) written in Python can be faster than general purpose high-end solutions written in C.
A fully index SQL database is still a thing, although likely a bit outdated for modern data processing and analysis.
DuckDB and Polars are awesome technologies and best for large scale data processing.
Sorting of data matters! Do it! Always! If you can afford the time/cost to sort your data before storing it. Especially DuckDB and Nanocube deliver significantly faster query times.

The **full comparison** with many very nice charts can be found in the **NanoCube GitHub repo**. Maybe it's of interest to some of you. Enjoy...

|\#|technology|duration_sec|factor|
|:-|:-|:-|:-|
|0|NanoCube|0.016|1|
|1|SQLite (indexed)|0.133|8.312|
|2|Polars|0.534|33.375|
|3|Arrow|1.933|120.812|
|4|DuckDB|4.171|260.688|
|5|SQLite|12.452|778.25|
|6|Pandas|36.457|2278.56|

The table above shows the duration for 1000x point queries on the car_prices_us dataset (available on kaggle.com) containing 16x columns and 558,837x rows. The query is highly selective, filtering on 4 dimensions (model='Optima', trim='LX', make='Kia', body='Sedan') and aggregating column mmr.

/r/Python
https://redd.it/1gyoi7n

any performance issues for django-parler?

I am looking for i18n packages, django-parler seems good, but are there any cons?? it requires inner join, is it going to affect the performance?? is it negligible if I use select_related or prefect_relateed

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

[OC] (Dooit V3) A very customizable TUI Todo Manager!



**What My Project Does:**

Dooit is a TUI based todo manager app which gives you a nice user interface to organize your tasks. Unlike other applications, dooit runs directly in your terminal!

It tries to be function and customizable at the same time



**Key Features:**

* An interactive & beautiful UI
* Fully customizable, you can configure your bar, your colors and how everything is displayed!
* Extensible, python config file allows you to do as much as you like!
* Vim like keybindings
* Topicwise separated Todo Lists (With branching)


**Target Audience:**


Anyone who uses the terminal!


**Comparison with Existing Alternatives:**

There are definitely a lot of options out there but I didnt find anyone which fulfilled all my requirements



**How to Get Started:**


Github Link: [Dooit](https://github.com/dooit-org/dooit)

Get started with the [Dooit Docs](https://dooit-org.github.io/dooit/)

/r/Python
https://redd.it/1gysoo4

DRF + React

Hello, everyone. I'm planning to build an ecomm over the next few weeks and would appreciate some guidance from more experienced developers. Could you share the best approach to take for building a scalable, efficient ecomm? Additionally, what libraries or tools do you recommend that could help streamline the development process and make things easier along the way?

/r/django
https://redd.it/1gyxp4q

Can't link CSS files to HTML in Flask Blueprints!

I’m a total beginner at (any) development and this is my first flask application. I’m having trouble linking CSS files to HTML when inside a blueprint. It works fine outside a blueprint.

Here's my project file structure -

project_root/
|
├── app.py
├── templates/
│ └── (global templates)
├── static/
│ └── (global static files)
├── auth/ # my blueprint
│ ├── __init__.py
│ ├── routes.py
│ ├── templates/
│ │ └── main.html
│ └── static/
│ └──main.css

I'm trying to link the auth/static/main.css file in the auth/templates/main.html file like this -

`<link rel = 'stylesheet' type="text/css" href="{{url_for('auth.static', filename='main.css')}}">`

I’ve tried changing the `url_for` with “static” or specifying the filename to auth.static.main.ss or static/main.css, but none work. It correctly displays the main.html but without any styling.

I suspect the `url_for` function inside the blueprint is incorrect.

/r/flask
https://redd.it/1gz0sps