Looking for Inspiration & Recommendations for My Upcoming POS Project
Hey everyone! 👋
I'm planning to build a Point of Sale (POS) system using Django, and I’m looking for recommendations and inspiration. I want to make it efficient, user-friendly, and scalable.
Are there any open-source POS projects in Django that you'd recommend for reference?
/r/django
https://redd.it/1iyks73
Hey everyone! 👋
I'm planning to build a Point of Sale (POS) system using Django, and I’m looking for recommendations and inspiration. I want to make it efficient, user-friendly, and scalable.
Are there any open-source POS projects in Django that you'd recommend for reference?
/r/django
https://redd.it/1iyks73
Reddit
From the django community on Reddit
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Advice on model designs
Hello good people of Django-land!
I need some help with designing my models.
I'm building a web app where people can submit structured poetry called "pantun" where the number of lines must be even. So you can submit poems having from 2 up to 16 lines.
My question is which design is better?
My interests are keeping the database size as small as possible for as long as possible, ease of adding features and also ease of code maintainability.
1. Have a BasePantun model and then create descendants inheriting from it?
2. Have a monolith Pantun model where you keep fields named "Line10", "Line11" etc. empty? (This is my current implementation)
My current observation from users using the app is that most of them tend to submit mostly 4-line pantuns.
Another question I have is that I'm planning to implement an award system. For certain achievements, users can get certain awards.
Again same interests as above, which design is better?
1. My current implementation
​
class Award(models.Model):
name = models.CharField(max_length=50)
winners = models.ManyToManyField(User, related_name="pemenang_anugerah", blank=True)
...
2. Another implementation idea
class Award(models.Model):
/r/django
https://redd.it/1iyl64y
Hello good people of Django-land!
I need some help with designing my models.
I'm building a web app where people can submit structured poetry called "pantun" where the number of lines must be even. So you can submit poems having from 2 up to 16 lines.
My question is which design is better?
My interests are keeping the database size as small as possible for as long as possible, ease of adding features and also ease of code maintainability.
1. Have a BasePantun model and then create descendants inheriting from it?
2. Have a monolith Pantun model where you keep fields named "Line10", "Line11" etc. empty? (This is my current implementation)
My current observation from users using the app is that most of them tend to submit mostly 4-line pantuns.
Another question I have is that I'm planning to implement an award system. For certain achievements, users can get certain awards.
Again same interests as above, which design is better?
1. My current implementation
​
class Award(models.Model):
name = models.CharField(max_length=50)
winners = models.ManyToManyField(User, related_name="pemenang_anugerah", blank=True)
...
2. Another implementation idea
class Award(models.Model):
/r/django
https://redd.it/1iyl64y
Reddit
From the django community on Reddit
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After moving Database URI to an environment variable I get "Either 'SQLALCHEMY_DATABASE_URI' or 'SQLALCHEMY_BINDS' must be set."
My app was working fine before. I host it on Heroku.
I realized that hardcoding the database uri with password isn't the most secure thing. Heroku has a thing called Config Vars where you can put the URI there as an environment variable that is separate from your code.
I did it. and it worked. This is how my code looks like:
app = Flask(__name__)
app.config['SECRET_KEY'] = os.environ.get('SECRET_KEY')
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ.get('SQLALCHEMY_DATABASE_URI')
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['pool_size']= 10
app.config['poolclass'] = QueuePool
app.config['pool_pre_ping'] = True
app.config['SQLALCHEMY_POOL_RECYCLE'] = 35
app.config['SQLALCHEMY_POOL_TIMEOUT'] = 7
mail = Mail(app)
db = SQLAlchemy(app)
ma = Marshmallow(app)
bcrypt=Bcrypt(app)
login_manager = LoginManager(app)
CORS(app)
As you can see I access the Config vars using os.environ.get.
This all worked fine. App works great. Later on I decided to add another table and then update it using alembic.
/r/flask
https://redd.it/1iymufo
My app was working fine before. I host it on Heroku.
I realized that hardcoding the database uri with password isn't the most secure thing. Heroku has a thing called Config Vars where you can put the URI there as an environment variable that is separate from your code.
I did it. and it worked. This is how my code looks like:
app = Flask(__name__)
app.config['SECRET_KEY'] = os.environ.get('SECRET_KEY')
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ.get('SQLALCHEMY_DATABASE_URI')
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
app.config['pool_size']= 10
app.config['poolclass'] = QueuePool
app.config['pool_pre_ping'] = True
app.config['SQLALCHEMY_POOL_RECYCLE'] = 35
app.config['SQLALCHEMY_POOL_TIMEOUT'] = 7
mail = Mail(app)
db = SQLAlchemy(app)
ma = Marshmallow(app)
bcrypt=Bcrypt(app)
login_manager = LoginManager(app)
CORS(app)
As you can see I access the Config vars using os.environ.get.
This all worked fine. App works great. Later on I decided to add another table and then update it using alembic.
/r/flask
https://redd.it/1iymufo
Reddit
From the flask community on Reddit
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Django.Social - Community Hosting Platform
Asking for some help.
I'm getting sick of having to use Meetup.com for hosting the Django.Social community.
I started this group almost 3 years ago for the Django community to try and bring people together regularly. However the last 6 monthly bill we received was over $1,600 and Meetup is proving pretty limited in terms of its functionality and VFM.
Some of our best events have been around Django Conferences getting people to socialise the night before the conference starts.
In all, we have almost 2,000 members across 7 groups in 7 countries and want this to grow further but without having to charge members or the groups having to find sponsors.
We have a discord channel with a handful of users and not much activity which would be an obvious place to host the community and then publicise events using free tools like eventbrite.
Are there any other options out there that people use for their groups/communities?
Please share any suggestions and help us out so we can keep this all going.
#DjangoSocial #DjangoMeetup #DjangoEvent #DjangoCon #DjangoConEurope #Django #DjangoPeople #DjangoCommunity
/r/django
https://redd.it/1iypnzp
Asking for some help.
I'm getting sick of having to use Meetup.com for hosting the Django.Social community.
I started this group almost 3 years ago for the Django community to try and bring people together regularly. However the last 6 monthly bill we received was over $1,600 and Meetup is proving pretty limited in terms of its functionality and VFM.
Some of our best events have been around Django Conferences getting people to socialise the night before the conference starts.
In all, we have almost 2,000 members across 7 groups in 7 countries and want this to grow further but without having to charge members or the groups having to find sponsors.
We have a discord channel with a handful of users and not much activity which would be an obvious place to host the community and then publicise events using free tools like eventbrite.
Are there any other options out there that people use for their groups/communities?
Please share any suggestions and help us out so we can keep this all going.
#DjangoSocial #DjangoMeetup #DjangoEvent #DjangoCon #DjangoConEurope #Django #DjangoPeople #DjangoCommunity
/r/django
https://redd.it/1iypnzp
Meetup
Meetup | Find Local Groups, Events, and Activities Near You
Find Meetup events, join groups, or start your own. Make new friends and connect with like-minded people. Meet people near you who share your interests.
Integrating django api with whatsapp chatbot
Hi,
Any experience in integrating our own api with whatsapp chatbot. Like for frontend part whatsapp chatbot will be used instead of application. Any reference document or tutorial for the same. Kindly help
/r/django
https://redd.it/1iygdce
Hi,
Any experience in integrating our own api with whatsapp chatbot. Like for frontend part whatsapp chatbot will be used instead of application. Any reference document or tutorial for the same. Kindly help
/r/django
https://redd.it/1iygdce
Reddit
From the django community on Reddit
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Python gave me the chance to finally execute a personal project for something I actually needed
Not sure if this kind of post is allowed here but just wanted to celebrate this because it feels like a major milestone for me.
I've been a software dev for about 10 years but in that time I have never come up with ideas of problems at home that I could solve with code. If I had an idea, there was already a solution out there or it felt like it would take way too much effort to build and implement in Typescript/.NET, which is what I use for my job.
I recently picked up Python at work for a non-GUI data manipulation project and I was really surprised at how simple it is to set up and get going on. Feels like with the other languages I've tried out, you have to do so much configuration and build to even get off the ground, to the point where I've struggled in the past with tutorial courses because something doesn't work in configuring the IDE or installing packages, etc.
Well the other day I was poking around with my home network software, trying to figure out if there was a way to get a notification when a certain device connects to the
/r/Python
https://redd.it/1iyorr7
Not sure if this kind of post is allowed here but just wanted to celebrate this because it feels like a major milestone for me.
I've been a software dev for about 10 years but in that time I have never come up with ideas of problems at home that I could solve with code. If I had an idea, there was already a solution out there or it felt like it would take way too much effort to build and implement in Typescript/.NET, which is what I use for my job.
I recently picked up Python at work for a non-GUI data manipulation project and I was really surprised at how simple it is to set up and get going on. Feels like with the other languages I've tried out, you have to do so much configuration and build to even get off the ground, to the point where I've struggled in the past with tutorial courses because something doesn't work in configuring the IDE or installing packages, etc.
Well the other day I was poking around with my home network software, trying to figure out if there was a way to get a notification when a certain device connects to the
/r/Python
https://redd.it/1iyorr7
Reddit
From the Python community on Reddit
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New feature for Explain Like I am five.
Hey everyone new feature!
You can now choose between different types of explanation modes so it can either be concise or Like You are five.
Also it should no longer return no response.
Feel free to check it out here: https://teachmelikefive.com/ and give me any feedback you have
Thanks in advance
/r/flask
https://redd.it/1iyydp3
Hey everyone new feature!
You can now choose between different types of explanation modes so it can either be concise or Like You are five.
Also it should no longer return no response.
Feel free to check it out here: https://teachmelikefive.com/ and give me any feedback you have
Thanks in advance
/r/flask
https://redd.it/1iyydp3
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/1iz29bk
# 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/1iz29bk
Reddit
From the Python community on Reddit
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Building a new Django Framework
I'm not much a poster so please don't be rough on me. I enjoy this subreddit and the community built/building within here. I think most the comments here are extremely helpful and nice to most of the posts, even when they ask the same questions over and over (ie what front end should I use with Django?). But because of this community I’ve been building a lot of my APIs with Django Ninja now. I'm making this post to crowdsource opinions and since this is a new thing for me to work on I would appreciate feedback/opinions on what I should think about/consider and features that could be cool.
With that being said, I’ve decided to create my own Django dev tool. For now it will be a personal project for internal use. My overall idea was to create something challenging for fun and things I would add in my own personal API development workflow. Before LLMs I wouldn’t have considered this because the planning alone seems like a big undertaking that I don’t think I would’ve had the capacity to do but I’ve been exponentially more productive since utilizing AI within my workflow. I don’t think of myself as some
/r/django
https://redd.it/1iyzx8d
I'm not much a poster so please don't be rough on me. I enjoy this subreddit and the community built/building within here. I think most the comments here are extremely helpful and nice to most of the posts, even when they ask the same questions over and over (ie what front end should I use with Django?). But because of this community I’ve been building a lot of my APIs with Django Ninja now. I'm making this post to crowdsource opinions and since this is a new thing for me to work on I would appreciate feedback/opinions on what I should think about/consider and features that could be cool.
With that being said, I’ve decided to create my own Django dev tool. For now it will be a personal project for internal use. My overall idea was to create something challenging for fun and things I would add in my own personal API development workflow. Before LLMs I wouldn’t have considered this because the planning alone seems like a big undertaking that I don’t think I would’ve had the capacity to do but I’ve been exponentially more productive since utilizing AI within my workflow. I don’t think of myself as some
/r/django
https://redd.it/1iyzx8d
GitHub
GitHub - mattjaikaran/django-matt: Creating a brand new Django Framework to my specifications
Creating a brand new Django Framework to my specifications - mattjaikaran/django-matt
Anyone interested in creating a sports complex management system with me backend(Django + Django Rest Framework (Python) → Handles all data, users, payments, reservations)learning together
/r/django
https://redd.it/1iyz0hg
/r/django
https://redd.it/1iyz0hg
Why not just plot everything in numpy?! P.2.
Thank you all for overwhelmingly positive feedback to my last post!
I've finally implemented what I set out to do there: https://github.com/bedbad/justpyplot (docs)
A single plot() function API:
You can now overlay, mask, transform, render full plots everywhere you want with single rgba plot() API
It
Still runs faster then matplotlib, 20x-100x times:timer "full justpyplot + rendering": avg 382 µs ± 135 µs, max 962 µs
Flexible, values are your stacked points and grid_options, figure_options are json-style dicts that lets you control all the details of the graph parts design without bloating the 1st level interface
Composable - works well with OpenCV, Jupyter Notebooks, pyqtgraph - you name it
Smol - less then 20k memory and 1000 lines of core vectorized code for plotting, because it's
No dependencies. Yes, really, none except numpy. If you need plots in Jupyter you have Pillow or alike to display ports, if you need graphs in OpenCV you just install cv2 and it has adaptors to them but no dependencies standalone, so you don't loose much at all installing it
Fully vectorized - yes it has no single loop in core code, it even has it's own text literals rendering, not to mention grid, figures,
/r/Python
https://redd.it/1iz0qxe
Thank you all for overwhelmingly positive feedback to my last post!
I've finally implemented what I set out to do there: https://github.com/bedbad/justpyplot (docs)
A single plot() function API:
plot(values:np.ndarray, grid_options:dict, figure_options:dict, ...) -> (figures, grid, axis, labels)You can now overlay, mask, transform, render full plots everywhere you want with single rgba plot() API
It
Still runs faster then matplotlib, 20x-100x times:timer "full justpyplot + rendering": avg 382 µs ± 135 µs, max 962 µs
Flexible, values are your stacked points and grid_options, figure_options are json-style dicts that lets you control all the details of the graph parts design without bloating the 1st level interface
Composable - works well with OpenCV, Jupyter Notebooks, pyqtgraph - you name it
Smol - less then 20k memory and 1000 lines of core vectorized code for plotting, because it's
No dependencies. Yes, really, none except numpy. If you need plots in Jupyter you have Pillow or alike to display ports, if you need graphs in OpenCV you just install cv2 and it has adaptors to them but no dependencies standalone, so you don't loose much at all installing it
Fully vectorized - yes it has no single loop in core code, it even has it's own text literals rendering, not to mention grid, figures,
/r/Python
https://redd.it/1iz0qxe
Reddit
From the Python community on Reddit: Why not just get your plots in numpy?!
Explore this post and more from the Python community
Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS
https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6
/r/IPython
https://redd.it/1iz4f2y
https://blog.jupyter.org/real-time-collaboration-and-collaborative-editing-for-gis-workflows-with-jupyter-and-qgis-d25dbe2832a6
/r/IPython
https://redd.it/1iz4f2y
Medium
Real-time collaboration and collaborative editing for GIS workflows with Jupyter and QGIS
The QGIS open-source project is a cornerstone in the geosciences ecosystem, providing robust tools for spatial data analysis and…
P Train your own Reasoning model - GRPO works on just 5GB VRAM
Hey r/machinelearning folks! Thanks so much for the support on our GRPO release 2 weeks ago! We managed to make GRPO work on just 5GB of VRAM for Qwen2.5 (1.5B) - down from 7GB in the previous Unsloth release: https://github.com/unslothai/unsloth
GRPO is the RL recipe behind DeepSeek-R1 Zero's reasoning, and you can now do it with 90% less VRAM via Unsloth + LoRA / QLoRA!
1. Due to our newly added Efficient GRPO algorithms, this enables 10x longer context lengths while using 90% less VRAM vs. every other GRPO LoRA/QLoRA implementations with 0 degradation in accuracy.
2. With a standard GRPO setup, Llama 3.1 (8B) training at 20K context length demands 510.8GB of VRAM. However, Unsloth’s 90% VRAM reduction brings the requirement down to just 54.3GB in the same setup.
3. We leverage our gradient checkpointing algorithm which we released a while ago. It smartly offloads intermediate activations to system RAM asynchronously whilst being only 1% slower. This shaves a whopping 372GB VRAM since we need num\\_generations = 8. We can reduce this memory usage even further through intermediate gradient accumulation.
4. Use our GRPO notebook with 10x longer context using Google's free GPUs: Llama 3.1 (8B) on Colab-GRPO.ipynb)
Blog for more
/r/MachineLearning
https://redd.it/1iyv12c
Hey r/machinelearning folks! Thanks so much for the support on our GRPO release 2 weeks ago! We managed to make GRPO work on just 5GB of VRAM for Qwen2.5 (1.5B) - down from 7GB in the previous Unsloth release: https://github.com/unslothai/unsloth
GRPO is the RL recipe behind DeepSeek-R1 Zero's reasoning, and you can now do it with 90% less VRAM via Unsloth + LoRA / QLoRA!
1. Due to our newly added Efficient GRPO algorithms, this enables 10x longer context lengths while using 90% less VRAM vs. every other GRPO LoRA/QLoRA implementations with 0 degradation in accuracy.
2. With a standard GRPO setup, Llama 3.1 (8B) training at 20K context length demands 510.8GB of VRAM. However, Unsloth’s 90% VRAM reduction brings the requirement down to just 54.3GB in the same setup.
3. We leverage our gradient checkpointing algorithm which we released a while ago. It smartly offloads intermediate activations to system RAM asynchronously whilst being only 1% slower. This shaves a whopping 372GB VRAM since we need num\\_generations = 8. We can reduce this memory usage even further through intermediate gradient accumulation.
4. Use our GRPO notebook with 10x longer context using Google's free GPUs: Llama 3.1 (8B) on Colab-GRPO.ipynb)
Blog for more
/r/MachineLearning
https://redd.it/1iyv12c
GitHub
GitHub - unslothai/unsloth: Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3…
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM. - unslothai/unsloth
Ai Agents for Django
Hey guys,
I understand most of you here use Langchain and LangGraph for building agents and using them in Django projects. But the problem is Langchain has its own learning curve and it is too much wrapped code on LLMs makes it very heavy.
So in search of a simple tool, I ended up creating my own. I felt, I need a simple tool that should be very much flexible to use wherever I want in django project (Views, Background Tasks, etc) and access to popular LLMs and should be able to switch them easily, So I built a simple pip installable package that can do below
* Define agents with specific roles and instructions
* Assign models to agents (e.g., OpenAI models)
* Equip agents with tools for performing tasks
* Seamlessly orchestrate interactions between multiple agents
# Here are supported Models
* OpenAI
* Grok
* DeepSeek
* Anthropic
* Llama
Please check it out and show some love giving stars and feedback.
[https://github.com/sandeshnaroju/agents\_manager](https://github.com/sandeshnaroju/agents_manager)
/r/django
https://redd.it/1iza51h
Hey guys,
I understand most of you here use Langchain and LangGraph for building agents and using them in Django projects. But the problem is Langchain has its own learning curve and it is too much wrapped code on LLMs makes it very heavy.
So in search of a simple tool, I ended up creating my own. I felt, I need a simple tool that should be very much flexible to use wherever I want in django project (Views, Background Tasks, etc) and access to popular LLMs and should be able to switch them easily, So I built a simple pip installable package that can do below
* Define agents with specific roles and instructions
* Assign models to agents (e.g., OpenAI models)
* Equip agents with tools for performing tasks
* Seamlessly orchestrate interactions between multiple agents
# Here are supported Models
* OpenAI
* Grok
* DeepSeek
* Anthropic
* Llama
Please check it out and show some love giving stars and feedback.
[https://github.com/sandeshnaroju/agents\_manager](https://github.com/sandeshnaroju/agents_manager)
/r/django
https://redd.it/1iza51h
Matrixfuncs – A Fast and Flexible Python Package for Matrix Functions
🚀 New Release: matrixfuncs – A Fast and Flexible Python Package for Matrix Functions
Hey everyone,
# Target Audience
I just released a new version of
The project is still in beta, but I’ve added an example (
Samples a random function and determines the recurrence relation between the sampled points.
Uses
📊 Example Plot: Example
# 🔍 Comparison
An equivalent solution could be implemented with
1️⃣ Memory & Speed Optimizations
The library uses a special representation that allows changing the order of function computation and matrix multiplication.
This means in expressions like
As a result, it requires less memory and scales better if you need to evaluate many functions at the same matrix , since it avoids storing large matrices.
# ⚡ What My Project Does As Well
Supports Arbitrary Functions
SciPy provides matrix functions for common cases (
/r/Python
https://redd.it/1izf8wd
🚀 New Release: matrixfuncs – A Fast and Flexible Python Package for Matrix Functions
Hey everyone,
# Target Audience
I just released a new version of
matrixfuncs, a lightweight Python package for computing matrix functions efficiently. The target audiences are researchers and computer scientists. If you work with linear algebra, numerical methods, or recurrence relations, this might be useful for you!The project is still in beta, but I’ve added an example (
examples/many_frequencies.py) that:Samples a random function and determines the recurrence relation between the sampled points.
Uses
matrixfuncs to generate a function that solves the recurrence relation anywhere—including between sampled data points.📊 Example Plot: Example
# 🔍 Comparison
An equivalent solution could be implemented with
scipy.linalg.fractional_matrix_power, but matrixfuncs has two key advantages:1️⃣ Memory & Speed Optimizations
The library uses a special representation that allows changing the order of function computation and matrix multiplication.
This means in expressions like
A @ f(M), you can evaluate @ before computing f(M).As a result, it requires less memory and scales better if you need to evaluate many functions at the same matrix , since it avoids storing large matrices.
# ⚡ What My Project Does As Well
Supports Arbitrary Functions
SciPy provides matrix functions for common cases (
expm, logm, sqrtm,/r/Python
https://redd.it/1izf8wd
Imgur
Discover the magic of the internet at Imgur, a community powered entertainment destination. Lift your spirits with funny jokes, trending memes, entertaining gifs, inspiring stories, viral videos, and so much more from users.
Ajuda com hospedagem flask + mongo db
galera alguem pode me dizer onde eu consigo hosperdar um site que o back and são esses dois?? to desesperado, sou meio que iniciante e vou ter que entregar meu primeiro freela, alguem pfv se puder me ajudar
/r/flask
https://redd.it/1izgau7
galera alguem pode me dizer onde eu consigo hosperdar um site que o back and são esses dois?? to desesperado, sou meio que iniciante e vou ter que entregar meu primeiro freela, alguem pfv se puder me ajudar
/r/flask
https://redd.it/1izgau7
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Most Efficient Way To Deploy Flask app on Ubuntu Server
So currently my backend code is done with AWS lambdas, however I have a project in flask that I need to deploy.
Before using python for pretty much everything backend, I used to use PHP at the time (years ago) and it was always easy to just create an ubuntu server instance somewhere and ssh into it to install apache2. After a lil bit of config everything runs pretty smooth.
However with Flask apps going the apache route feels a little less streamlined.
What is currently the smoothest and simplest way to deploy a flask app to a production server running ubuntu server and not using something like Digital Ocean App platform or similar?
/r/flask
https://redd.it/1iy6179
So currently my backend code is done with AWS lambdas, however I have a project in flask that I need to deploy.
Before using python for pretty much everything backend, I used to use PHP at the time (years ago) and it was always easy to just create an ubuntu server instance somewhere and ssh into it to install apache2. After a lil bit of config everything runs pretty smooth.
However with Flask apps going the apache route feels a little less streamlined.
What is currently the smoothest and simplest way to deploy a flask app to a production server running ubuntu server and not using something like Digital Ocean App platform or similar?
/r/flask
https://redd.it/1iy6179
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What happened to Python Weekly newsletter?
I used to love Python weekly newsletter, but a few months (?) ago it changed dramatically.
Now it has ads (!), referrals, I apparently have an "account" at something called "beehive". There's X, Facebook and Linkedin social icons, which I can only assume are tracking delivery...
Disappointed. Although the core content seems unchanged, I'm unsubscribing. What happened?
/r/Python
https://redd.it/1izky8q
I used to love Python weekly newsletter, but a few months (?) ago it changed dramatically.
Now it has ads (!), referrals, I apparently have an "account" at something called "beehive". There's X, Facebook and Linkedin social icons, which I can only assume are tracking delivery...
Disappointed. Although the core content seems unchanged, I'm unsubscribing. What happened?
/r/Python
https://redd.it/1izky8q
Reddit
From the Python community on Reddit
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Django Rest Framework Status
Does anyone know the status of DRF these days? I see the Github repo is still getting commits, but they removed the Issues and Discussion pages (which sucks, because I wanted to look into an issue I was hitting to see if anyone else had hit it). They now have a Google Groups page for support, which seems to be littered with spam.
I'm not sure what's going on, but this is not very reassuring given I just lead an effort to refactor our API to use DRF recently.
/r/django
https://redd.it/1izmvln
Does anyone know the status of DRF these days? I see the Github repo is still getting commits, but they removed the Issues and Discussion pages (which sucks, because I wanted to look into an issue I was hitting to see if anyone else had hit it). They now have a Google Groups page for support, which seems to be littered with spam.
I'm not sure what's going on, but this is not very reassuring given I just lead an effort to refactor our API to use DRF recently.
/r/django
https://redd.it/1izmvln
Reddit
From the django community on Reddit
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I Built a Simple Yet Effective SMS Spam Classifier Without Neural Networks
Hey everyone,
I just wanted to share a project I recently completed for SMS text classification. While everyone seems to be jumping to neural networks for text problems these days, I took a different approach and am pretty happy with the results.
What My Project Does: My SMS classifier distinguishes between legitimate messages ("ham") and spam with high accuracy. It analyzes message content using a combination of natural language processing and custom features designed specifically for SMS spam detection. The model processes text messages and outputs a classification (spam or ham) along with a probability score.
Target Audience: This project is intended for:
Developers looking to implement lightweight spam filtering in messaging applications
Data science students learning about text classification alternatives to neural networks
Anyone interested in practical NLP solutions that don't require extensive computing resources
While it's production-ready in terms of accuracy, it's currently packaged as an educational tool rather than a complete service.
Comparison to Alternatives:
vs. Neural Networks: My approach trains in seconds, not hours, requires far less data (thousands vs. millions of examples), and is completely interpretable
vs. Rule-based Systems: More flexible and generalizable than hard-coded rules, with better ability to handle novel spam patterns
vs. Commercial Solutions: Provides comparable accuracy
/r/Python
https://redd.it/1izepi6
Hey everyone,
I just wanted to share a project I recently completed for SMS text classification. While everyone seems to be jumping to neural networks for text problems these days, I took a different approach and am pretty happy with the results.
What My Project Does: My SMS classifier distinguishes between legitimate messages ("ham") and spam with high accuracy. It analyzes message content using a combination of natural language processing and custom features designed specifically for SMS spam detection. The model processes text messages and outputs a classification (spam or ham) along with a probability score.
Target Audience: This project is intended for:
Developers looking to implement lightweight spam filtering in messaging applications
Data science students learning about text classification alternatives to neural networks
Anyone interested in practical NLP solutions that don't require extensive computing resources
While it's production-ready in terms of accuracy, it's currently packaged as an educational tool rather than a complete service.
Comparison to Alternatives:
vs. Neural Networks: My approach trains in seconds, not hours, requires far less data (thousands vs. millions of examples), and is completely interpretable
vs. Rule-based Systems: More flexible and generalizable than hard-coded rules, with better ability to handle novel spam patterns
vs. Commercial Solutions: Provides comparable accuracy
/r/Python
https://redd.it/1izepi6
Reddit
From the Python community on Reddit: I Built a Simple Yet Effective SMS Spam Classifier Without Neural Networks
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