MStock: The Tool I Built to Track Macy’s Restocks 🛍️

Hey everyone 👋



I wanted to share a personal project I made: MStock. I kept running into the same problem—I wanted multiple items from Macy’s that were out of stock, and I was tired of constantly checking for updates. So, I built this tool to notify me the moment something comes back in stock!



What My Project Does

MStock is a Python tool that:

• Monitors Macy’s Product Pages: Tracks multiple items at once.

• Sends Notifications: Alerts me via email or SMS (through iMessage on macOS).

• Provides Product Details: Like price, ratings, and reviews, so I don’t miss out on key info.

• Handles Failures Gracefully: Uses smart caching to keep product info even if a check fails.


Target Audience

If you frequently shop at Macy’s and hate missing out on restocks, MStock is perfect for you. It’s especially useful for anyone tracking multiple products or looking for a hands-off way to monitor stock status.



Why I Built It

There were a few items I really wanted, but they were sold out for weeks. I didn’t want to miss them when they came back, so I made MStock to handle the tracking for me. Now, I get a notification as soon as something is available again, and

/r/Python
https://redd.it/1i5b6su

MathSpell v0.1.0: Expanded Features and Test cases!

Hello everyone!


A couple of weeks ago I shared my first ever python package MathSpell \- a context-aware number-to-word conversion library built on the `spaCy` and `num2words` python library. After receiving valuable feedback I started working on some improvements. I really thought I could update it in a day, but days turned into weeks. Well, I've released an update with v0.1.0.

# What’s New in v0.1.0?

Expanded Features:

More Contexts Handled:
Quantities: "5 m/s" is now "five meter per second". Used the `unit_parse` library (which also uses `pint` under the hood) to achieve this.
Currencies: "$3.25" converts to "three dollars and twenty five cents".
Exponential Notation: "3e8" becomes "three times ten to the power of eight".
Fractions: "1/2" converts to "one over two". Also preprocessed to avoid datetime format (dd/mm/yyyy) confusion with the mathematical division sign.
Test Cases:
Added 26 new test cases with edge cases\~
I also added docstrings for better understanding!



# Target Audience:

Mainly me. But I was really happy to see that it was positively received last time! The main use case of this library is for data preprocessing tasks for applications such as

/r/Python
https://redd.it/1i5apa9

Problem Understanding Django-allauth's headless social login ( Skill Issue)

I'm trying to implement django-allauth and learn about its headless URLs for social login and implement it django-ninja. However, when following the social login section of the documentation, I keep getting a 409 response. Can someone guide me in the right direction?

/r/django
https://redd.it/1i5ugnb

Where can I learn complete django from the basics ??

Hey , I am new to programming with a basic syntax knowledge of python, what should I do now to learn django. I need sort of a roadmap on the topics and the concepts.It would be great if you guys suggest me few.

/r/django
https://redd.it/1i5m139

Built this on scratch using Django+Bootstrap.

/r/django
https://redd.it/1i5wvtb

Flask - Hosting - Requests

Hey, I am currently using a simple Flask app with a basic database connection to store various inputs (spread across 5 tables). The app also includes an admin login with user authentication and database queries for logging in.

The app is hosted on a VPS with 2 vCores and 2GB of RAM using Docker, Nginx, and Gunicorn.

This project originated during my studies and is now being used for the first time. Approximately 200 requests (in the worst case, simultaneously) are expected.

I would like to test how many requests the server can handle and determine whether 2 vCores and 2GB of RAM are sufficient for handling \~200 requests. I’ve noticed there are various tools for load testing, but since the VPS is hosted by a third-party provider, I would need to request permission before conducting such tests (even if the load is minimal).

Perhaps I am overthinking this, as 200 requests might not actually be a significant load at all ? If you need any additional information, feel free to ask, I didn’t want to go into every tiny detail here.

Thanks for taking the time to read this!

/r/flask
https://redd.it/1i5pcgv

XSS in django-allauth <0.63.6 when using Facebook provider with js_sdk method
https://stsewd.dev/posts/xss-in-django-allauth-fb-provider/

/r/django
https://redd.it/1i5v8bv

django course

would you guys suggest me the best free course for learning django for someone who has worked with laravel before



/r/django
https://redd.it/1i640y9

Tuesday Daily Thread: Advanced questions

# Weekly Wednesday Thread: Advanced Questions 🐍

Dive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.

## How it Works:

1. **Ask Away**: Post your advanced Python questions here.
2. **Expert Insights**: Get answers from experienced developers.
3. **Resource Pool**: Share or discover tutorials, articles, and tips.

## Guidelines:

* This thread is for **advanced questions only**. Beginner questions are welcome in our [Daily Beginner Thread](#daily-beginner-thread-link) every Thursday.
* Questions that are not advanced may be removed and redirected to the appropriate thread.

## Recommended Resources:

* If you don't receive a response, consider exploring r/LearnPython or join the [Python Discord Server](https://discord.gg/python) for quicker assistance.

## Example Questions:

1. **How can you implement a custom memory allocator in Python?**
2. **What are the best practices for optimizing Cython code for heavy numerical computations?**
3. **How do you set up a multi-threaded architecture using Python's Global Interpreter Lock (GIL)?**
4. **Can you explain the intricacies of metaclasses and how they influence object-oriented design in Python?**
5. **How would you go about implementing a distributed task queue using Celery and RabbitMQ?**
6. **What are some advanced use-cases for Python's decorators?**
7. **How can you achieve real-time data streaming in Python with WebSockets?**
8. **What are the

/r/Python
https://redd.it/1i656sb

IP banning followup. My site is now being continuously scraped by robots.txt violating bots.

TL;DR: I need advice on:

How to implement a badbot honeypot.

How to implement an "are you human" check on account creation.

Any idea on why this is happening all of a sudden.

---

I posted a few days ago about banning a super racist IP, and implemented the changes. Since then there has been a wild amount of webscraping being done by a ton of IPs that are not displaying a proper user agent. I have no idea whether this is connected.

It may be that "Owler (ows.eu/owler)" is responsible, as it is the only thing that displays a proper useragent, and occationally checks Robots.txt, but the sheer numbers of bots hitting the site at the same time clearly violates the robots file, and I've since disallowed Owler's user agent, but it continues to check robots.txt.

These bots are almost all coming from "Hetzner Online GmbH" while the rest are all Tor exit nodes. I'm banning these IP ranges as fast as I can, but I think I need to automate it some how.

Does anyone have a good way to gather all the offending IP's without actually collecting normal user traffic? I'm tempted to just write a honeypot to collect robots.txt violating IP's, and just

/r/flask
https://redd.it/1i5d2gs

is ReactJS necessary ?

I have build many projects in Django, but in old school way like simply django as backend and html,css,js as frontend, but for good scalability ( for not having any trouble like facebook ghost message) i need to learn react, but the doc is so extensive and confusing for me right now.

so please suggest me how can i cope up with this, and let say i able to learn react then how i am able to connect by django with react.

i'll be waiting for your valuable suggestions .

Thank You

/r/django
https://redd.it/1i5tgtq

Magnetron is a minimalist machine learning framework built entirely from scratch.

What My Project Does



Magnetron is a minimalist machine learning framework built entirely from scratch. It’s meant to be to PyTorch what MicroPython is to CPython—compact, efficient, and easy to hack on. Despite having only 48 operators at its core, Magnetron supports cutting-edge ML features such as multithreading with dynamic scaling. It automatically detects and uses the most optimal vector runtime (SSE, AVX, AVX2, AVX512, and various ARM variants) to ensure performance across different CPU architectures, all meticulously hand-optimized. We’re actively working on adding more high-impact examples, including LLaMA 3 inference and a simple NanoGPT training loop.

GitHub: https://github.com/MarioSieg/magnetron

Target Audience

• ML Enthusiasts & Researchers who want a lightweight, hackable framework to experiment with custom operators or specialized use cases.

• Developers on constrained systems or anyone seeking minimal overhead without sacrificing modern ML capabilities.

• Performance-conscious engineers interested in exploring hand-optimized CPU vectorization that adjusts automatically to your hardware.

Comparison

• PyTorch/TensorFlow: Magnetron is significantly lighter and easier to understand under-the-hood, making it ideal for experimentation and embedded systems. We don’t (yet) have the breadth of official libraries or the extensive community, but our goal is to deliver serious performance in a minimal package.

• Micro frameworks: While some smaller ML projects exist, Magnetron stands out by

/r/Python
https://redd.it/1i63rmk

D Understanding predictive coding networks

Hi all,

I'm trying to understand predictive coding networks like described in Rao & Ballard.

So far I understand that training the network is done through setting the input (and output if training is supervised) and first modifying the activity of the neurons to reduce prediction errors, then modifying the synaptic weights.

What I don't understand is that it seems the activity of a hidden layer "r" seems to be a function of the difference between the prediction and the input (see figure 1.b), it seems implied here that `r` is the product of the transposed weights U^(T) and the prediction error which confuse me : I understand that we want to propagate the prediction error to the next layer, but how can we minimize (I - f(Ur)) if r = U^(T) (I - f(Ur))?

I think I still haven't fully grasped the overall architecture and would really appreciate if someone could help.

/r/MachineLearning
https://redd.it/1i6h40i

My First Big Django App - Blogino (Not Completed Yet)

Hey everyone,

I’ve been working on my first big Django project called Blogino, and I wanted to share my progress so far. It’s still a work in progress, but I’m excited to get feedback from the community!

https://github.com/MLankaoui/blogino

/r/djangolearning
https://redd.it/1i4ww7o

How much would you guys charge for this? (My first paid gig)

Friend’s business is gonna hire me to automate some admin work. Wants to automate getting their invoices for current day from all ~20 of their vendors portal then download and print them. Should save 30 minutes 3 times a week and he says his personal hourly rate is $60 so if I’m saving him $4500/year in his time assuming 50 working weeks out of the year, is $1000 a fair price to charge him? He’s getting his time back for a fraction of the cost and I’m getting $100/hr assuming roughly 10 hours of work.

/r/Python
https://redd.it/1i6iubh

How to Visualize your Project's Dependency Graph

https://www.gauge.sh/blog/how-to-visualize-your-python-projects-dependency-graph


I built a tool that helps you visualize your Python's dependency graph, as well as enforce state on it! Would love thoughts / comments / feedback. Source code here: https://github.com/gauge-sh/tach





/r/Python
https://redd.it/1i6n3zl

🌈 I created a modern Python logging utility: Tamga

What My Project Does
Tamga is a Python logging package that provides colorful console output and supports multiple logging formats (file, JSON, MongoDB, etc.). It makes Python logging more visually appealing and easier to use.

Target Audience
I originally created this for my FlaskBlog project and kept reusing it in other projects. After copying the code multiple times, I decided to turn it into a package. Anyone who wants prettier and more flexible logging in their Python projects might find it useful.

Comparison
While there are many logging solutions available, Tamga offers colorful output using Tailwind CSS colors and combines multiple features like MongoDB support, email notifications, and file rotation in a simple package.

Quick example:

from tamga import Tamga

logger = Tamga()
logger.info("This is an info message")
logger.warning("This is a warning")
logger.success("This is a success message")

https://github.com/dogukanurker/tamga

/r/Python
https://redd.it/1i5uncl

Python Fixed-Point Converter

Hey everyone, [PyFi](https://github.com/CesarPiresSevero/pyfi) is a library that helps converting fixed-point to floating-point and vice-versa.

* What My Project Does: Converts floating and fixed-point implementations
* Target Audience: Algorithm developers
* Comparison: Simpler solution with only one class and method

It can be very hand for someone doing fixed-point algorithm implementations. Here is an example:

>PYTHON FIXED POINT CONVERTER

>Configuration:
-Type of conversion: Floating to fixed point
-Signedness: Signed
-Total bits: 32
-Fractional bits: 31

>WARNING: 1.0 can not be represented, 0.99999999977 will be used instead ( index: 0 )

>Converted values:

>-Dec (Input): 0.99999999977,-0.50000000000

>-Hex (Output): 0x7fffffff,0xc0000000

>-Bin (Output): 0b01111111111111111111111111111111,0b1100000000000000000000000000000

/r/Python
https://redd.it/1i6qeh7

Docker + Django: Containerize the Right Way with Nginx, Postgresql & Gunicorn
https://youtu.be/1v3lqIITRJA

/r/django
https://redd.it/1i6tkok

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/1i6xdhu

I don’t understand models

Hello, I’m new to Django and am kinda struggling with understanding models and their structure. If anyone could provide information that would be appreciated.

/r/djangolearning
https://redd.it/1i4yull