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Daily Python News Question, Tips and Tricks, Best Practices on Python Programming Language Find more reddit channels over at @r_channels
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
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
API request logging built for privacy and performance (works with Flask)
https://apitally.io/blog/request-log-release-announcement
/r/flask
https://redd.it/1hy2jag
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
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
[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
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
Can you suggest correct model to make for given problem?
I am assigned with a task of adding a reward/penalty type function to our work site. its a point based system.
here is what the system already has.
Employees: Users
Tasks: employees/managers create and assign task, task detail, task deadline etc., you can mark task complete, amend deadline(if self assigned), update status (ongoing, pending, completed, on hold)
points function: points added if task marked complete before deadline, points removed if missed deadline. A manager can override points like negate penalty if there is a valid reason. managers can manually add or deduct points for other things like positive for finding bugs and negative for AWOL or submitting buggy code repeatedly etc. Task based points are calculated automatically while other types are assigned manually. Managers can override points awarded automatically given valid reason. eg: If -3 points are added for missing a deadline but the employee missed it due to being hospitalised then manager would just add/award +3 points to cancel it out. So all manually given points are called manual_adjustment_points.
so I am trying to make a model as the first step. But I keep feeling I am missing something. My current model is as following.
Model: Rewards:
/r/djangolearning
https://redd.it/1hxduv3
I created a linter for your dependencies (requirements.txt file!)
Hey there. I've been working on a dependencies-related product for the last year. A lot of engineering teams that I've seen are building their own internal tooling to check on dependencies.
In short, people either update too frequently or don't update at all.
So, I decided to create a simple linter that checks all the main issues and best practices, comes with sensible defaults, and allows you to adjust it to your needs.
It supports npm/yarn, Go, pip, and Cargo. Any feedback is welcome!
Link: https://github.com/DepsHubHQ/depshub
What My Project Does
Checks your requirements.txt file on 20+ rules.
Target Audience
Mostly developers running it locally or on the CI. Still in beta.
Comparison
There are no popular linters for dependencies at all. The most popular tool to deal with dependencies is dependabot but it works in a completely different way.
/r/Python
https://redd.it/1hy1q3n
Django Developer Job at Spotter
Hi everyone! I recently applied for a Django Developer position at Spotte (Spotter Labs). After passing an initial screening, I was told to complete a coding assessment with the promise of a $100 USD reward upon successful completion.
Has anyone else done this task and actually moved forward in the process? Did you get paid and proceed to the next stage, or do you think this might be a scam? I know some might say "why not try," but I’m really stressed with my current work and don’t have the time to invest in this. If I end up spending time on it and nothing comes of it, that would be pretty disappointing.
/r/django
https://redd.it/1hy36cz
My django based, open source PDF manager and viewer now supports editing and markdown notes
Hi r/django,
I am the developer of PdfDing. You can find the repo [here](https://github.com/mrmn2/PdfDing). Last time I posted about PdfDing, there were a couple of features that were requested quite often. As they are now implemented I just wanted to do a quick follow up post. PdfDing now has the following features:
* it is now possible to edit PDFs by adding annotations, highlighting and drawings
* you can organize your PDFs with multi-level tags as simple tags did not work for many people
* you can add markdown notes to store additional information about your PDFs
* there is now a live demo instance. You can try PdfDing [here](https://demo.pdfding.com) without pulling the docker image.
* very soon you will be able to star and archive PDFs
If you like PdfDing I would be really happy over a star on [GitHub](https://github.com/mrmn2/PdfDing). If anyone wants to contribute you are welcome to do so!
/r/django
https://redd.it/1hy0931
obliquetree: Advanced Decision Tree Implementation
# obliquetree
`obliquetree` is an advanced decision tree library designed to offer high-performance and interpretable models. It supports both classification and regression tasks, enabling a wide range of applications. By leveraging both traditional and oblique splits, `obliquetree` provides flexibility and improved generalization, particularly in shallow trees, making it a powerful alternative to conventional decision trees.
You can access the project from here: [ObliqueTree GitHub Repository](https://github.com/sametcopur/obliquetree)
What `obliquetree` Does:
* **Oblique Splits for Better Patterns**: Utilizes linear combinations of features for splitting, capturing complex patterns effectively.
* **Traditional Splits for Simplicity**: Supports axis-aligned splits, maintaining simplicity and interpretability.
* **Performance Optimization**: Ensures high speed and efficiency while supporting categorical features and missing value handling.
* **Scalability and Interpretability**: Excels at providing interpretable models with fewer splits.
# Key Features
* **Oblique Splits**: Use linear combinations of features to capture complex data patterns.
* **Axis-Aligned Splits**: Supports conventional decision tree behavior for simplicity.
* **Categorical Feature Handling**: Works seamlessly with categorical data, requiring only label encoding.
* **Optimized Performance**: Up to 50% faster for float columns and 200% faster for integer columns compared to `scikit-learn`.
* **Feature Constraints**: Limit the number of features used in oblique splits for simpler, interpretable trees.
* **Missing Value Handling**: Automatically assigns missing values (`NaN`) to optimal leaves.
* **Seamless Integration**: Guarantees
/r/Python
https://redd.it/1hxaa85
I added a prediction results page to my Python football (Premier League soccer) prediction page.
A while ago I made a football predictor in Python to predict Premier League football results.
Original thread
The page would show predictions for the next 30 days of football matches and stay updated throughout the season. It uses a Gaussian Naive Bayes model to predict results based on past data. It uses the data from the 2021-2024 seasons.
Tonight I've added a page that shows how well the predictor has been performing over the season. It pulls the season's results from the BBC and compares its predictions to the results. You can see on the site the correct predictions in green and incorrect predictions in red.
Prediction results page: https://www.jimmyrustles.com/football/results
Original prediction page: https://www.jimmyrustles.com/football
Github repo: https://github.com/sgriffin53/footballpredictorflask
What My Project Does
The original project shows football predictions for the current season. This page shows how well the predictor is performing for the current season. It allows me to see which results were correct at a glance as it's colour coded.
Target Audience (e.g., Is it meant for production, just a toy project, etc.
This is mostly for me and my friend Jay, as we've been using it to bet on games (though its accuracy isn't great). The football prediction page gets about 10-15 human visitors a day, so
/r/Python
https://redd.it/1hxtc13
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/1hxr7g3
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
I made a storage management app using flask
/r/flask
https://redd.it/1hz6x5e
[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
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
Open source Contribution
Can anyone guide me through the steps of contributing to Django?
/r/django
https://redd.it/1hyw6nv
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
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
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
Calling all drf repo owners - I'll do your work for you for free
Ok, slightly click-bait-ey title, but hear me out.
I'm a senior dev with over a decade of django experience, and nearly 2 decades working in AI. I have created a django specific AI to work as a mid level developer and I'd like to get some feedback on it's performance 'in the wild'.
The easiest way to do this at the moment is for me to manage it and to let it have a branch of it's own (so it's easy for you to optionally ignore anything it does). I use OpenAI and I'll cover all the costs. I'm happy to be effectively interviewed, share details of past projects (privately) etc., whatever processes you need to go through to validate this being worthwhile.
The repo can be open source or private, it can work with django, but it's not great at UI design, thus DRF, but I'm willing to try it on a django repo if there is appetite.
I use this in my current job, I'm head of department and thus able to make the call myself. I've also allowed friends to use it with their work and in general it's a positive experience - fire the request off, grab a drink and
/r/django
https://redd.it/1hydw9e
Django APIs combined with iOS learning resources.
I've been learning Django and started building an iOS app as a first project. I followed a few iOS tutorials and used ChatGPT to get help whenever i get stuck. I struggle to fully grasp the communication and sending data between iOS and Django. I was just wondering if anyone know any good courses or resources for learning more about the Django REST API and building iOS apps that interact with Django and a database.
/r/django
https://redd.it/1hy1rpy
how much time to learn Django ?
i have a project on django (ERP app) in which i need to understand app already developed , add new features , mantain app.. i need to estimate workload of this. Knowing that i have an intermediate level of python, what is the range of time that this project would take ?
/r/django
https://redd.it/1hy4z8q
Handling embedded iframe player (PlayerJS - bunny.net) in Django template
I am trying to create a custom video player using PlayerJS within my Django app (Plain htmx template), have tested the general setup on a static website with no problem, but the player events/methods are not working properly in Django. Feel like I am missing something obvious.
The "ready" event fires on load
player.on("ready", () => {
console.log("Player ready");
})
But all other methods/events don't fire/ have no effect. The video shows normally and I can start/stop it using the player controls provided by bunny.net. However the "play" event is not firing. I am slo getting no error messages.
player.on("play", () => {
console.log("Video is playing");
})
Console
My template
{% extends 'base.html' %}
{% load customtags %}
{% block content %}
<h1>Videos index</h1>
<iframe
id="bunny-stream-embed"
src="https://iframe.mediadelivery.net/embed/{% settingsvalue "BUNNYCDNLIBRARYID" %}/{{ object.bunnyvideoid }}"
/r/djangolearning
https://redd.it/1hxuzb1
Senior Developer Live Coding
Hey everyone,
I’m a senior software engineer with 10 years of experience, and I’m currently building a fitness app to help users achieve their goals through personalized workout plans and cutting-edge tech.
Here’s what the project involves:
* **AI-Powered Customization**: The app will use AI (via ChatGPT) to help users design workout plans tailored to their goals and preferences, whether they're beginners or seasoned lifters.
* **Full-Stack Development**: The project features a Django backend and a modern frontend, all built within a monorepo structure for streamlined development.
* **Open Collaboration**: I’m hosting weekly live coding sessions where I’ll be sharing the process, tackling challenges, and taking feedback from the community.
To bring you along for the journey, I’ll be hosting **weekly live coding sessions** on Twitch and YouTube. These sessions will cover everything from backend architecture and frontend design to integrating AI and deployment workflows. If you're interested in software development, fitness tech, or both, this is a chance to see a real-world app being built from the ground up.
**Next stream details:**
* **When**: Friday January 10th around 12pm Eastern
* **Where**: Twitch ([https://www.twitch.tv/soccer\_head\_](https://www.twitch.tv/soccer_head_)) and YouTube (\[[soccerhead9525" rel="nofollow">https://www.youtube.com/@soccerhead9525](soccerhead9525" rel="nofollow">https://www.youtube.com/@soccerhead9525)\])
I’d love for you to join the stream, share your ideas, and maybe even help me debug a thing or two. Follow
/r/django
https://redd.it/1hxrz2k
Automating video reframing in python
So I'm on a quest to automate video editing for my youtube channel as much as possible. Currently I'm trying to build a program that would basically auto reframe a horizontal video to a vertical one (from 16:9 to 9:16) while also keeping the speakers head in the frame. I tried resolving this with openCv library with the help of claude and chatgpt but it leads to a dead end. I'm simply stuck and don't know any alternatives because there's not much info on this problem.
Do you guys know a library i could use for this that I maybe haven't heard of? Maybe I'm overcomplicating and there's a software that does this for free, I find filmora's automatic reframing perfect but not sure if they'll block it off once my trial runs out.
/r/Python
https://redd.it/1hxnpki
I have a question
is there a way when writing the helper text to make text associated with an argument show bold when that argument is active? for example :param option_id: integer or string representation of an integer for an option ID in the picture shown here
https://preview.redd.it/mi75onaig1ce1.png?width=777&format=png&auto=webp&s=de7916246ce4b51efbfef4e255626834a62dc975
/r/django
https://redd.it/1hxo5ub
