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Separate package

apps = ['silk']
if settings.DEBUG and all(app in settings.INSTALLED_APPS for app in apps):
urlpatterns += [
path('silk/', include('silk.urls', namespace='silk')),
]

It worked fine, but is this the correct approach?

/r/django
https://redd.it/1hy1oql
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/1hyivpf
How Much Should I Charge for Developing a Custom ERP System?

**Hi everyone,**

I’m currently building a web-based ERP system for a small manufacturing company in India. Here are some of the features I’ll be including:

1. **Production Module**
* **Step-by-Step Process Management**:
* Tracks production steps with barcode scanning.
* Input/output validation for each step.
* Automatically progresses to the next step after scanning.
* **Real-Time Monitoring**: Provides an overview of ongoing production processes.
* **Defect Tracking**: Logs and reports defective items at each step.
2. **Stock Monitoring**
* **Real-Time Inventory Tracking**: Automatically updates stock levels as materials are used or replenished.
* **Low Stock Alerts**: Sends notifications for stock reaching minimum thresholds.
* **Department-Wise Inventory Management**: Manages separate stock data for each department.
3. **Reporting Capability**
* **Production Reports**: Detailed insights into completed and ongoing production.
* **Inventory Reports**: Tracks usage and availability trends.
* **Financial Reports**: Summarizes costs, revenue, and invoicing.
* **Customizable Reports**: Exportable to Excel or PDF.
4. **Invoicing Module**
* Generates and manages customer invoices.
* Tracks payment statuses.


/r/django
https://redd.it/1hyoi69
[Dataset][R] 19,762 Garbage Images for Building AI Recycling Solutions

Hi ML community!

I’m excited to share the **Garbage Classification V2 Dataset**, featuring **19,762 high-quality images** of garbage categorized into **10 distinct classes** (e.g., metal, plastic, clothes, and paper).

# Why this matters:

* Train AI models for **automated waste sorting and recycling**.
* Develop **waste segregation apps** or sustainability-focused tools.
* Create innovative **computer vision projects** for environmental impact.

🔗 **Dataset Link:** [Garbage Classification V2](https://www.kaggle.com/datasets/sumn2u/garbage-classification-v2/)

This dataset has been used in the research paper, *"Managing Household Waste Through Transfer Learning,"* proving its utility in real-world applications.

Looking forward to seeing how you can use it to promote sustainability!

/r/MachineLearning
https://redd.it/1hyfaoc
Are there any actual use cases of Python in Excel?

I’m trying to understand how useful it really is/ having not really touched it at all, I imagine someone versed in Python could optimize some of their workflow were they forced to work in excel. But given the fundamental processing limitations of excel I can’t imagine how scalable this is. Has anyone had practical experience using the Python - excel plugin to accomplish things easier than you could in either excel or Python alone and if so, what?

/r/Python
https://redd.it/1hylc50
Long time listener, first time caller

I have been using Django for the last few years and always wanted to check flask out.

2 days ago i started playing around with it.... I love it.

Compared to Django development has been so fast and way more flexible (which can be good and bad)

I have built a basic app with user auth and org level and test deployed using mongodb, gunicorn, docker on google cloud run all within a day basically

Great job devs 👍

Sorry for the useless post but thought id share my experience

/r/flask
https://redd.it/1hxu65g
Open source Contribution

Can anyone guide me through the steps of contributing to Django?

/r/django
https://redd.it/1hyw6nv
PyGAD 3.4.0 Released: Python library for optimization using the genetic algorithm.

PyGAD is a Python library for solving general-purpose optimization problems using the genetic algorithm.

GitHub repository: https://github.com/ahmedfgad/GeneticAlgorithmPython

Documentation: https://pygad.readthedocs.io

Quick release notes:

1. The delay_after_gen parameter is removed from the `pygad.GA` class constructor.
2. The plot_pareto_front_curve() method added to the pygad.visualize.plot.Plot class to visualize the Pareto front for multi-objective problems.
3. Created a new method called unique_float_gene_from_range() inside the pygad.helper.unique.Unique class to find a unique floating-point number from a range.
4. The Matplotlib library is only imported when a method inside the pygad/visualize/plot.py script is used.
5. While making prediction using the pygad.torchga.predict() function, no gradients are calculated.
6. The gene_type parameter of the pygad.helper.unique.Unique.unique_int_gene_from_range() method accepts the type of the current gene only instead of the full gene_type list.
7. More bug fixes.

/r/Python
https://redd.it/1hyxjqi
Docker + uv - virtual environments

# Why?

uv uses an existing virtual environment(.venv) or creates one if it doesn't exist. But, using a Python virtual environment inside a Docker container is generally unnecessary and can even be counterproductive. As a container itself provides an isolated environment and does not need further isolation using virtual environments. When you create a Docker image, it includes its own filesystem, libraries, and dependencies. Using a virtual environment in container adds unneeded steps and unnecessary complexity. You'd need to create and activate the virtual environment during container startup. We can avoid this.

# How?

we can use uv for package installation in Docker without a virtual environment using "--system" flag

uv pip install --system <package>

uv pip install --system -r requirements.txt

NOTE: "uv run" and **"uv add"**NOTE: "uv run" and "uv add" commands will create virtual environment(.venv), if it doesn't exist. So, you will not be using those command inside the container. But, use them with in your local development virtual environment.

RUN uv add gunicorn
CMD "uv", "run", "app.py"

Instead use only "uv pip install --system" and simple "python" commands

RUN uv pip

/r/django
https://redd.it/1hz0s59
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[P] Built a Snake game with a Diffusion model as the game engine. It runs in near real-time 🤖 It predicts next frame based on user input and current frames.

/r/MachineLearning
https://redd.it/1hz1l2j
I built a django based crowdfunding platform - Fundly 🎊

Hey everyone! I wanted to share a crowdfunding platform I built using Django 5 and Bootstrap. It's a versatile platform that can be used for any type of fundraising campaigns - from creative projects to personal causes.

GitHub: https://github.com/manjurulhoque/fundly

Key Features:

🔐 User Management:

User registration & authentication
Profile management with avatars
Account settings & password management

💰 Campaign Management:

Create & manage fundraising campaigns
Rich text editor for descriptions
Campaign categorization & status tracking
Progress tracking & image uploads
Social sharing functionality

💳 Donation System:

Anonymous donation option
Donation tracking & statistics
Donation comments

📊 Dashboard Features:

User campaign dashboard
Campaign statistics
Donation history
Performance metrics
Admin dashboard with full CRUD

🔍 Search & Discovery:

Category-based browsing
Search functionality
Featured campaigns
Recent campaigns showcase
Campaign filtering

Tech Stack:

Backend: Python 3.x, Django 5.x, SQLite
Frontend: Bootstrap 4, jQuery, Font Awesome
Additional: TinyMCE Editor, Chartjs


The platform is fully responsive and includes features like campaign progress tracking, member management, and detailed analytics. Perfect for anyone looking to start their own crowdfunding website!

Would love to hear your thoughts and feedback! Feel free to check out the repo, star it if you like it, or contribute if you're interested.

/r/django
https://redd.it/1hz4w6c
I made a storage management app using flask

/r/flask
https://redd.it/1hz6x5e
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 script 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/1hz9oaq
Building My First Ecommerce with Django

I wanted to share my journey building a custom ecommerce site for a client. While I have experience creating enterprise tools and APIs for inventory management and ecommerce integrations (like Shopify), this project was unique because the client specifically wanted a fully custom-built platform tailored to their needs. It’s my first time creating a complete ecommerce site with Django, and the learning experience has been incredible.

The project, [GetVases](https://www.getvases.com), is an online boutique for selling vases. It needed to be visually appealing, user-friendly, and reliable. Balancing these requirements while diving into features like payment integration and stock management was both exciting and challenging.

# Technical Challenges

1. **Integrating Payments with Stripe**: Secure payment processing was a priority for the client. I initially started with PayPal, but its confusing documentation and webhook handling led to weeks of frustration. Switching to Stripe was a game-changer:
* I used the `stripe` library to handle payment requests.
* Webhooks were set up to update order statuses in real time.
* I’m still refining security measures for these endpoints—any best practices you can share?
2. **Real-Time Stock Management**: The client required dynamic inventory updates as customers placed orders. I implemented this using Django

/r/django
https://redd.it/1hz7xgd
Django + htmx

Hello is there people making theirs own saas web apps with django + htmx if yes how is the experience is it as fast as going with a js framework like next js , nuxt js ..
i m struggling to choose to learn python + django or going for react + next js to build my own saas apps
Thnks for the feedback

/r/django
https://redd.it/1hzal6h