FastAPI-NiceGUI-Template: A full-stack project starter for Python developers to avoid JS overhead.
This is a reusable project template for building modern, full-stack web applications entirely in Python, with a focus on rapid development for demos and internal tools.
### What My Project Does
The template provides a complete, pre-configured application foundation using a modern Python stack. It includes:
Backend Framework: FastAPI (ASGI, async, Pydantic validation)
Frontend Framework: NiceGUI (component-based, server-side UI)
Database: PostgreSQL (managed with Docker Compose)
ORM: SQLModel (combines SQLAlchemy + Pydantic)
Authentication: JWT token-based security with pre-built logic.
Core Functionality:
Full CRUD API for items.
User management with role-based access (Standard User vs. Superuser).
Dynamic UI that adapts based on the logged-in user's permissions.
Automatic API documentation via Swagger UI and ReDoc.
The project is structured with a clean separation between
### Target Audience
This template is intended for Python developers who:
Need to build web applications with interactive UIs but want to stay within the Python ecosystem.
Are building internal tools, administrative
/r/Python
https://redd.it/1p04iie
This is a reusable project template for building modern, full-stack web applications entirely in Python, with a focus on rapid development for demos and internal tools.
### What My Project Does
The template provides a complete, pre-configured application foundation using a modern Python stack. It includes:
Backend Framework: FastAPI (ASGI, async, Pydantic validation)
Frontend Framework: NiceGUI (component-based, server-side UI)
Database: PostgreSQL (managed with Docker Compose)
ORM: SQLModel (combines SQLAlchemy + Pydantic)
Authentication: JWT token-based security with pre-built logic.
Core Functionality:
Full CRUD API for items.
User management with role-based access (Standard User vs. Superuser).
Dynamic UI that adapts based on the logged-in user's permissions.
Automatic API documentation via Swagger UI and ReDoc.
The project is structured with a clean separation between
backend and frontend code, making it easy to navigate and build upon.### Target Audience
This template is intended for Python developers who:
Need to build web applications with interactive UIs but want to stay within the Python ecosystem.
Are building internal tools, administrative
/r/Python
https://redd.it/1p04iie
Reddit
From the Python community on Reddit
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ferreusrbf - a fast, memory efficient global radial basis function (RBF) interpolation library
**What My Project Does**
ferreus\rbf is a fast and memory efficient global radial basis function (RBF) interpolation library for Python, with a Rust backend.
Radial basis function (RBF) interpolation is a flexible, mesh‑free approach for approximating scattered data, but direct solvers require O(N²) memory and O(N³) work, which becomes impractical beyond modest problem sizes.
This library provides a scalable alternative by combining:
Domain decomposition preconditioning for the global RBF system, and
A black box fast multipole method (BBFMM) evaluator for fast matrix–vector products,
reducing the overall complexity to roughly O(N log N) and enabling global interpolation on millions of points in up to three dimensions.
The library also offers the ability to generate isosurfaces (in 3D) from RBF interpolation.
Target Audience
ferreus_rbf is intended for people, such as geologists and data scientists, who:
Work with large datasets that can't utilise traditional RBF interpolation method.
Want to generate an isosurface in 3D from RBF interpolation.
Aren't familiar with C++ and its build systems.
Comparison
SciPy.interpolation.RBFInterpolator
Scipy is very mature and robust for ndimensional RBF interpolation
Due to memory constraints, Scipy can only interpolate with larger datasets using the 'neighbours' option, which greatly reduces the accuracy of the solve and introduces undesirable artifacts when
/r/Python
https://redd.it/1p06stb
**What My Project Does**
ferreus\rbf is a fast and memory efficient global radial basis function (RBF) interpolation library for Python, with a Rust backend.
Radial basis function (RBF) interpolation is a flexible, mesh‑free approach for approximating scattered data, but direct solvers require O(N²) memory and O(N³) work, which becomes impractical beyond modest problem sizes.
This library provides a scalable alternative by combining:
Domain decomposition preconditioning for the global RBF system, and
A black box fast multipole method (BBFMM) evaluator for fast matrix–vector products,
reducing the overall complexity to roughly O(N log N) and enabling global interpolation on millions of points in up to three dimensions.
The library also offers the ability to generate isosurfaces (in 3D) from RBF interpolation.
Target Audience
ferreus_rbf is intended for people, such as geologists and data scientists, who:
Work with large datasets that can't utilise traditional RBF interpolation method.
Want to generate an isosurface in 3D from RBF interpolation.
Aren't familiar with C++ and its build systems.
Comparison
SciPy.interpolation.RBFInterpolator
Scipy is very mature and robust for ndimensional RBF interpolation
Due to memory constraints, Scipy can only interpolate with larger datasets using the 'neighbours' option, which greatly reduces the accuracy of the solve and introduces undesirable artifacts when
/r/Python
https://redd.it/1p06stb
Reddit
From the Python community on Reddit: ferreus_rbf - a fast, memory efficient global radial basis function (RBF) interpolation library
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Editorial System in Django?
Hello, I want to build a editorial system in my Django project with Roles (Author, Editor) and transition rules (switch from Draft to Published etc.). Do you have any suggestions for existing packages?
/r/djangolearning
https://redd.it/1p0d339
Hello, I want to build a editorial system in my Django project with Roles (Author, Editor) and transition rules (switch from Draft to Published etc.). Do you have any suggestions for existing packages?
/r/djangolearning
https://redd.it/1p0d339
Reddit
From the djangolearning community on Reddit
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Pre-PEP: Rust for CPython
@emmatyping, @eclips4 propose introducing the Rust programming language to CPython. Rust will initially only be allowed for writing optional extension modules, but eventually will become a required dependency of CPython and allowed to be used throughout the CPython code base.
Discuss thread: https://discuss.python.org/t/pre-pep-rust-for-cpython/104906
/r/Python
https://redd.it/1p0e1yj
@emmatyping, @eclips4 propose introducing the Rust programming language to CPython. Rust will initially only be allowed for writing optional extension modules, but eventually will become a required dependency of CPython and allowed to be used throughout the CPython code base.
Discuss thread: https://discuss.python.org/t/pre-pep-rust-for-cpython/104906
/r/Python
https://redd.it/1p0e1yj
Discussions on Python.org
Pre-PEP: Rust for CPython
Introduction We (@emmatyping, @eclips4) propose introducing the Rust programming language to CPython. Rust will initially only be allowed for writing optional extension modules, but eventually will become a required dependency of CPython and allowed to be…
PY ImageMapper - HTML Image Map Generator
PY ImageMapper is a Windows desktop app for creating HTML image maps. Load an image, draw clickable areas (rectangles, circles, polygons), set properties (links, alt text, IDs, CSS classes, data attributes), and export HTML with <img> and <map><area> tags. It includes zoom/pan, grid/snap, color preferences, project save/load, and hover highlighting in the exported HTML.
https://github.com/non-npc/PY-ImageMapper/
/r/Python
https://redd.it/1p0jl23
PY ImageMapper is a Windows desktop app for creating HTML image maps. Load an image, draw clickable areas (rectangles, circles, polygons), set properties (links, alt text, IDs, CSS classes, data attributes), and export HTML with <img> and <map><area> tags. It includes zoom/pan, grid/snap, color preferences, project save/load, and hover highlighting in the exported HTML.
https://github.com/non-npc/PY-ImageMapper/
/r/Python
https://redd.it/1p0jl23
Reddit
From the Python community on Reddit
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PyCharm Fundraiser extended- ending TOMORROW November 19th
I just wanted to make a request that the Django Software Foundation's largest fundraiser of the year is tomorrow, and we are currently below goals.
It's the easiest charity in the world, because it's "forcing" a willing company to donate for you. You just buy their product (PyCharm Pro) and 100% of the cost you pay goes to the DSF.
https://www.jetbrains.com/pycharm/promo/support-django/?utm\_campaign=pycharm&utm\_content=django25&utm\_medium=referral&utm\_source=dsf-banner
If you are already a current PyCharm user but want to help another way, we take donations through our website: https://www.djangoproject.com/fundraising/ where if you want you can get a name and link on the donations page. Or on github https://github.com/sponsors/django where you can have it displayed there if you want. If your company is able to make a larger donation, I can help you talk to them about corporate sponsorship (application here: https://www.djangoproject.com/foundation/corporate-membership/join/ )
/r/django
https://redd.it/1p0epdx
I just wanted to make a request that the Django Software Foundation's largest fundraiser of the year is tomorrow, and we are currently below goals.
It's the easiest charity in the world, because it's "forcing" a willing company to donate for you. You just buy their product (PyCharm Pro) and 100% of the cost you pay goes to the DSF.
https://www.jetbrains.com/pycharm/promo/support-django/?utm\_campaign=pycharm&utm\_content=django25&utm\_medium=referral&utm\_source=dsf-banner
If you are already a current PyCharm user but want to help another way, we take donations through our website: https://www.djangoproject.com/fundraising/ where if you want you can get a name and link on the donations page. Or on github https://github.com/sponsors/django where you can have it displayed there if you want. If your company is able to make a larger donation, I can help you talk to them about corporate sponsorship (application here: https://www.djangoproject.com/foundation/corporate-membership/join/ )
/r/django
https://redd.it/1p0epdx
JetBrains
Support the Django Software Foundation by buying PyCharm at a 30% Discount
During this campaign, buy PyCharm Pro with a 30% discount code and all money raised will go to the DSF’s general fundraising and Django Fellowship program
cqrs file structure and business logic
Hi, first time posting here so please don't bite me.
Anyone using cqrs pattern in django? Like selectors for fetching and services for pushing?
I looked into HackSoftware's django style and Kraken's. They seem to be quite into the idea of separating pure retrieval and state change.
Then this question hit me: where do I put actual business logic that combine selectors and services?
Putting some module like usecases or steps sound doable but at the same time is it necessary? Let me know what you guys think.
/r/django
https://redd.it/1p0ucg0
Hi, first time posting here so please don't bite me.
Anyone using cqrs pattern in django? Like selectors for fetching and services for pushing?
I looked into HackSoftware's django style and Kraken's. They seem to be quite into the idea of separating pure retrieval and state change.
Then this question hit me: where do I put actual business logic that combine selectors and services?
Putting some module like usecases or steps sound doable but at the same time is it necessary? Let me know what you guys think.
/r/django
https://redd.it/1p0ucg0
Reddit
From the django community on Reddit
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Skylos: Code quality library
Hello everyone,
Summary
Skylos is a code health scanner that finds dead code, secrets, quality issues(although limited coverage for now) and dangerous patterns in your repo, then displays them in your CLI. We do have a CI gate as well as a VSC extension.
The VSC extension runs all the flags meaning it will continuously scan for dead code, secrets, quality issues and dangerous patterns. Once you hit save, it will highlight anything that is being flagged with the warning on the same line as the issue. You can turn off the highlights in the settings. The CLI on the other hand, is a flag-based approach meaning that it will just be purely dead code unless you add the flags as shown in the quick start.
How it works
We build an AST-level map of all your functions, defs, classes, variables etc, then applies the rule engine to see where each symbol is referenced
Quick start
To flag everything:
skylos /path/to/your/project --danger --quality --secrets
To flag only danger:
skylos /path/to/your/project --danger
To flag only dead code:
skylos /path/to/your/project
For the VSC extension, just go to marketplace and look for
The current version for the CLI is
/r/Python
https://redd.it/1p0wck6
Hello everyone,
Summary
Skylos is a code health scanner that finds dead code, secrets, quality issues(although limited coverage for now) and dangerous patterns in your repo, then displays them in your CLI. We do have a CI gate as well as a VSC extension.
The VSC extension runs all the flags meaning it will continuously scan for dead code, secrets, quality issues and dangerous patterns. Once you hit save, it will highlight anything that is being flagged with the warning on the same line as the issue. You can turn off the highlights in the settings. The CLI on the other hand, is a flag-based approach meaning that it will just be purely dead code unless you add the flags as shown in the quick start.
How it works
We build an AST-level map of all your functions, defs, classes, variables etc, then applies the rule engine to see where each symbol is referenced
Quick start
To flag everything:
skylos /path/to/your/project --danger --quality --secrets
To flag only danger:
skylos /path/to/your/project --danger
To flag only dead code:
skylos /path/to/your/project
For the VSC extension, just go to marketplace and look for
SkylosThe current version for the CLI is
2.5.0 while the current/r/Python
https://redd.it/1p0wck6
Reddit
From the Python community on Reddit: Skylos: Code quality library
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Apple AIML Residency Program 2026 R
Haven't seen a 2026 post - wanted to use this to consolidate info from everyone on the process. Anyone have any idea when they start sending out info session updates?
/r/MachineLearning
https://redd.it/1p0lart
Haven't seen a 2026 post - wanted to use this to consolidate info from everyone on the process. Anyone have any idea when they start sending out info session updates?
/r/MachineLearning
https://redd.it/1p0lart
Reddit
From the MachineLearning community on Reddit
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[P] Human Action Classification: Reproducible baselines for UCF-101 (87%) and Stanford40 (88.5%) with training code + pretrained models
# Human Action Classification: Reproducible Research Baselines
Hey r/MachineLearning! I built reproducible baselines for human action recognition that I wish existed when I started.
# 🎯 What This Is
**Not an attempt to beat or compare with SOTA.** This is a reference baseline for research and development. Most repos I found are unmaintained with irreproducible results, with no pretrained models. This repo provides:
* ✅ Reproducible training pipeline
* ✅ Pretrained models on HuggingFace
* ✅ Complete documentation
* ✅ Two approaches: Video (temporal) + Image (pose-based)
# 📊 Results
**Video Models (UCF-101 - 101 classes):**
* MC3-18: **87.05%** accuracy (published: 85.0%)
* R3D-18: **83.80%** accuracy (published: 82.8%)
**Image Models (Stanford40 - 40 classes):**
* ResNet50: **88.5%** accuracy
* Real-time: 90 FPS with pose estimation
# 🎬 Demo (Created using test samples)
https://i.redd.it/diopygguk72g1.gif
# 🔗 Links
* GitHub: [https://github.com/dronefreak/human-action-classification](https://github.com/dronefreak/human-action-classification)
* HuggingFace Models:
* MC3-18: [https://huggingface.co/dronefreak/mc3-18-ucf101](https://huggingface.co/dronefreak/mc3-18-ucf101)
* R3D-18: [https://huggingface.co/dronefreak/r3d-18-ucf101](https://huggingface.co/dronefreak/r3d-18-ucf101)
* Stanford40 Models: [https://huggingface.co/dronefreak/human-action-classification-stanford40](https://huggingface.co/dronefreak/human-action-classification-stanford40)
# 💡 Why I Built This
Every video classification paper cites UCF-101, but finding working code is painful:
* Repos abandoned 3+ years ago
* Tensorflow 1.x dependencies
* Missing training scripts
* No pretrained weights
This repo is what I needed: a clean starting point with modern PyTorch, complete training code, and published pre-trained models.
# 🤝 Contributions Welcome
Looking for help with:
* Additional datasets (Kinetics, AVA, etc.)
* Two-stream
/r/MachineLearning
https://redd.it/1p16kqx
# Human Action Classification: Reproducible Research Baselines
Hey r/MachineLearning! I built reproducible baselines for human action recognition that I wish existed when I started.
# 🎯 What This Is
**Not an attempt to beat or compare with SOTA.** This is a reference baseline for research and development. Most repos I found are unmaintained with irreproducible results, with no pretrained models. This repo provides:
* ✅ Reproducible training pipeline
* ✅ Pretrained models on HuggingFace
* ✅ Complete documentation
* ✅ Two approaches: Video (temporal) + Image (pose-based)
# 📊 Results
**Video Models (UCF-101 - 101 classes):**
* MC3-18: **87.05%** accuracy (published: 85.0%)
* R3D-18: **83.80%** accuracy (published: 82.8%)
**Image Models (Stanford40 - 40 classes):**
* ResNet50: **88.5%** accuracy
* Real-time: 90 FPS with pose estimation
# 🎬 Demo (Created using test samples)
https://i.redd.it/diopygguk72g1.gif
# 🔗 Links
* GitHub: [https://github.com/dronefreak/human-action-classification](https://github.com/dronefreak/human-action-classification)
* HuggingFace Models:
* MC3-18: [https://huggingface.co/dronefreak/mc3-18-ucf101](https://huggingface.co/dronefreak/mc3-18-ucf101)
* R3D-18: [https://huggingface.co/dronefreak/r3d-18-ucf101](https://huggingface.co/dronefreak/r3d-18-ucf101)
* Stanford40 Models: [https://huggingface.co/dronefreak/human-action-classification-stanford40](https://huggingface.co/dronefreak/human-action-classification-stanford40)
# 💡 Why I Built This
Every video classification paper cites UCF-101, but finding working code is painful:
* Repos abandoned 3+ years ago
* Tensorflow 1.x dependencies
* Missing training scripts
* No pretrained weights
This repo is what I needed: a clean starting point with modern PyTorch, complete training code, and published pre-trained models.
# 🤝 Contributions Welcome
Looking for help with:
* Additional datasets (Kinetics, AVA, etc.)
* Two-stream
/r/MachineLearning
https://redd.it/1p16kqx
GitHub
GitHub - dronefreak/human-action-classification: Modern human action classification system using MediaPipe pose estimation and…
Modern human action classification system using MediaPipe pose estimation and PyTorch deep learning, achieving 47x faster inference than the original TensorFlow implementation. Supports 100+ model ...
Pyrefly Beta Release (fast language server & type checker)
As of v0.42.0, Pyrefly has now graduated from Alpha to Beta.
At a high level, this means:
- The IDE extension is ready for production use right now
- The core type-checking features are robust, with some edge cases that will be addressed as we make progress towards a later stable v1.0 release
Below is a peek at some of the goodies that have been shipped since the Alpha launch in May:
Language Server/IDE:
- automatic import refactoring
- Jupyter notebook support
- Type stubs for third-party packages are now shipped with the VS Code extension
Type Checking:
- Improved type inference & type narrowing
- Special handling for Pydantic and Django
- Better error messages
For more details, check out the release announcement blog: https://pyrefly.org/blog/pyrefly-beta/
/r/Python
https://redd.it/1p1axnq
As of v0.42.0, Pyrefly has now graduated from Alpha to Beta.
At a high level, this means:
- The IDE extension is ready for production use right now
- The core type-checking features are robust, with some edge cases that will be addressed as we make progress towards a later stable v1.0 release
Below is a peek at some of the goodies that have been shipped since the Alpha launch in May:
Language Server/IDE:
- automatic import refactoring
- Jupyter notebook support
- Type stubs for third-party packages are now shipped with the VS Code extension
Type Checking:
- Improved type inference & type narrowing
- Special handling for Pydantic and Django
- Better error messages
For more details, check out the release announcement blog: https://pyrefly.org/blog/pyrefly-beta/
/r/Python
https://redd.it/1p1axnq
GitHub
GitHub - facebook/pyrefly: A fast type checker and language server for Python
A fast type checker and language server for Python - facebook/pyrefly
Django 6.0 release candidate 1 released
https://www.djangoproject.com/weblog/2025/nov/19/django-60-rc-released/
/r/django
https://redd.it/1p1a7q4
https://www.djangoproject.com/weblog/2025/nov/19/django-60-rc-released/
/r/django
https://redd.it/1p1a7q4
Django Project
Django 6.0 release candidate 1 released
Posted by Natalia Bidart on Nov. 19, 2025
Twenty years of Django releases
On November 16th 2005 - Django got its first release: 0.90 (don’t ask). Twenty years later, today we just shipped the first release candidate of [Django 6.0](https://docs.djangoproject.com/en/dev/releases/6.0/). I compiled a few stats for the occasion:
* **447 releases over 20 years**. Average of 22 per year. Seems like 2025 is special because we’re at 38.
* **131 security vulnerabilities addressed** in those releases. Lots of people poking at potential problems!
* **262,203 releases of Django-related packages**. Average of 35 per day, today we’re at 52 so far.
Full blog post: [Twenty years of Django releases](https://www.djangoproject.com/weblog/2025/nov/19/twenty-years-of-django-releases/). And we got JetBrains to extend their [30% off offer](https://www.jetbrains.com/pycharm/promo/support-django/) as a birthday gift of sorts
/r/Python
https://redd.it/1p1euh3
On November 16th 2005 - Django got its first release: 0.90 (don’t ask). Twenty years later, today we just shipped the first release candidate of [Django 6.0](https://docs.djangoproject.com/en/dev/releases/6.0/). I compiled a few stats for the occasion:
* **447 releases over 20 years**. Average of 22 per year. Seems like 2025 is special because we’re at 38.
* **131 security vulnerabilities addressed** in those releases. Lots of people poking at potential problems!
* **262,203 releases of Django-related packages**. Average of 35 per day, today we’re at 52 so far.
Full blog post: [Twenty years of Django releases](https://www.djangoproject.com/weblog/2025/nov/19/twenty-years-of-django-releases/). And we got JetBrains to extend their [30% off offer](https://www.jetbrains.com/pycharm/promo/support-django/) as a birthday gift of sorts
/r/Python
https://redd.it/1p1euh3
Django Project
Twenty years of Django releases
Posted by Thibaud Colas on Nov. 19, 2025
Python for Beginners: Build a Simple QR Code Generator in Minutes!
https://youtu.be/v5_lKGfnDmQ?si=VhbXqCo9_NoZBmE1
/r/djangolearning
https://redd.it/1p1b2js
https://youtu.be/v5_lKGfnDmQ?si=VhbXqCo9_NoZBmE1
/r/djangolearning
https://redd.it/1p1b2js
YouTube
Python Project for Beginners 🐍
In this beginner-friendly Python tutorial, you’ll learn how to create a simple QR Code Generator using just a few lines of code! This is a perfect first project for anyone starting with Python.
We’ll walk step-by-step through:
✔ Installing the required library…
We’ll walk step-by-step through:
✔ Installing the required library…
My first real project in python
Hi, I'm 15 and I recently started python. For my firt project I did a calculator.
Here is the program:
num1=int(input("choisissez un nombre"))
num2=int(input("choisissez un nombre")) #sélection des nombres
operator=int(input("choisissez un operateur 1=+ ;2=- ;3=/ "))
if operator ==1:
result=num1+num2
elif operator ==2: #calcule
result=num1-num2
elif operator ==3:
result=num1/num2
print("voici votre résultat",result)
I'm here for advice on this program and more generally on python.
If you have little project like this I take too.
Thank you for reading.
/r/Python
https://redd.it/1p1khap
Hi, I'm 15 and I recently started python. For my firt project I did a calculator.
Here is the program:
num1=int(input("choisissez un nombre"))
num2=int(input("choisissez un nombre")) #sélection des nombres
operator=int(input("choisissez un operateur 1=+ ;2=- ;3=/ "))
if operator ==1:
result=num1+num2
elif operator ==2: #calcule
result=num1-num2
elif operator ==3:
result=num1/num2
print("voici votre résultat",result)
I'm here for advice on this program and more generally on python.
If you have little project like this I take too.
Thank you for reading.
/r/Python
https://redd.it/1p1khap
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
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/1p1o6zl
# 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/1p1o6zl
Reddit
From the Python community on Reddit
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R Segment Anything Model 3 (SAM 3) is released
Abstract: We present Segment Anything Model (SAM) 3, a unified model that detects, segments, and tracks objects in images and videos based on concept prompts, which we define as either short noun phrases (e.g., “yellow school bus”), image exemplars, or a combination of both. Promptable Concept Segmentation (PCS) takes such prompts and returns segmentation masks and unique identities for all matching object instances. To advance PCS, we build a scalable data engine that produces a high-quality dataset with 4M unique concept labels, including hard negatives, across images and videos. Our model consists of an image-level detector and a memory-based video tracker that share a single backbone. Recognition and localization are decoupled with a presence head, which boosts detection accuracy. SAM 3 doubles the accuracy of existing systems in both image and video PCS, and improves previous SAM capabilities on visual segmentation tasks. We open source SAM 3 along with our new Segment Anything with Concepts (SA-Co) benchmark for promptable concept segmentation.
Paper: https://ai.meta.com/research/publications/sam-3-segment-anything-with-concepts/
Demo: https://aidemos.meta.com/segment-anything
Code: https://github.com/facebookresearch/sam3
Website: https://ai.meta.com/sam3
/r/MachineLearning
https://redd.it/1p1cfvx
Abstract: We present Segment Anything Model (SAM) 3, a unified model that detects, segments, and tracks objects in images and videos based on concept prompts, which we define as either short noun phrases (e.g., “yellow school bus”), image exemplars, or a combination of both. Promptable Concept Segmentation (PCS) takes such prompts and returns segmentation masks and unique identities for all matching object instances. To advance PCS, we build a scalable data engine that produces a high-quality dataset with 4M unique concept labels, including hard negatives, across images and videos. Our model consists of an image-level detector and a memory-based video tracker that share a single backbone. Recognition and localization are decoupled with a presence head, which boosts detection accuracy. SAM 3 doubles the accuracy of existing systems in both image and video PCS, and improves previous SAM capabilities on visual segmentation tasks. We open source SAM 3 along with our new Segment Anything with Concepts (SA-Co) benchmark for promptable concept segmentation.
Paper: https://ai.meta.com/research/publications/sam-3-segment-anything-with-concepts/
Demo: https://aidemos.meta.com/segment-anything
Code: https://github.com/facebookresearch/sam3
Website: https://ai.meta.com/sam3
/r/MachineLearning
https://redd.it/1p1cfvx
Meta
SAM 3: Segment Anything with Concepts | Research - AI at Meta
We present Segment Anything Model (SAM) 3, a unified model that detects, segments, and tracks
objects in images and videos based on concept prompts,...
objects in images and videos based on concept prompts,...
Flask-Assets-Pipeline: Modern assets pipeline with esbuild, tailwind and more
https://github.com/hyperflask/flask-assets-pipeline
/r/flask
https://redd.it/1p1z9gt
https://github.com/hyperflask/flask-assets-pipeline
/r/flask
https://redd.it/1p1z9gt
GitHub
GitHub - hyperflask/flask-assets-pipeline: Modern asset pipeline for Flask
Modern asset pipeline for Flask. Contribute to hyperflask/flask-assets-pipeline development by creating an account on GitHub.