Which FrontEnd framework suits Django best?
Simple as that. What FrontEnd framework is it best to pair Django with? I know plan html, css and js and think that its best for me to learn a framework, both for getting a job and being “better”
/r/djangolearning
https://redd.it/1o747ht
Simple as that. What FrontEnd framework is it best to pair Django with? I know plan html, css and js and think that its best for me to learn a framework, both for getting a job and being “better”
/r/djangolearning
https://redd.it/1o747ht
Reddit
From the djangolearning community on Reddit
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P Nanonets-OCR2: An Open-Source Image-to-Markdown Model with LaTeX, Tables, flowcharts, handwritten docs, checkboxes & More
We're excited to share Nanonets-OCR2, a state-of-the-art suite of models designed for advanced image-to-markdown conversion and Visual Question Answering (VQA).
🔍 Key Features:
LaTeX Equation Recognition: Automatically converts mathematical equations and formulas into properly formatted LaTeX syntax. It distinguishes between inline (`$...$`) and display (`$$...$$`) equations.
Intelligent Image Description: Describes images within documents using structured
Signature Detection & Isolation: Identifies and isolates signatures from other text, outputting them within a `<signature>` tag. This is crucial for processing legal and business documents.
Watermark Extraction: Detects and extracts watermark text from documents, placing it within a
Smart Checkbox Handling: Converts form checkboxes and radio buttons into standardized Unicode symbols (`☐`, `☑`, `☒`) for consistent and reliable processing.
Complex Table Extraction: Accurately extracts complex tables from documents and converts them into both markdown and HTML table formats.
Flow charts & Organisational charts: Extracts flow charts and organisational as [mermaid](https://huggingface.co/nanonets/Nanonets-OCR2-1.5B-exp/blob/main/mermaid.js.org) code.
Handwritten Documents: The model is trained on handwritten documents across multiple languages.
Multilingual: Model is trained on documents of multiple languages, including English, Chinese, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Arabic, and many more.
Visual Question Answering (VQA): The model is designed to provide
/r/MachineLearning
https://redd.it/1o7160j
We're excited to share Nanonets-OCR2, a state-of-the-art suite of models designed for advanced image-to-markdown conversion and Visual Question Answering (VQA).
🔍 Key Features:
LaTeX Equation Recognition: Automatically converts mathematical equations and formulas into properly formatted LaTeX syntax. It distinguishes between inline (`$...$`) and display (`$$...$$`) equations.
Intelligent Image Description: Describes images within documents using structured
<img> tags, making them digestible for LLM processing. It can describe various image types, including logos, charts, graphs and so on, detailing their content, style, and context.Signature Detection & Isolation: Identifies and isolates signatures from other text, outputting them within a `<signature>` tag. This is crucial for processing legal and business documents.
Watermark Extraction: Detects and extracts watermark text from documents, placing it within a
<watermark> tag.Smart Checkbox Handling: Converts form checkboxes and radio buttons into standardized Unicode symbols (`☐`, `☑`, `☒`) for consistent and reliable processing.
Complex Table Extraction: Accurately extracts complex tables from documents and converts them into both markdown and HTML table formats.
Flow charts & Organisational charts: Extracts flow charts and organisational as [mermaid](https://huggingface.co/nanonets/Nanonets-OCR2-1.5B-exp/blob/main/mermaid.js.org) code.
Handwritten Documents: The model is trained on handwritten documents across multiple languages.
Multilingual: Model is trained on documents of multiple languages, including English, Chinese, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Arabic, and many more.
Visual Question Answering (VQA): The model is designed to provide
/r/MachineLearning
https://redd.it/1o7160j
Reddit
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GIL free and thread safety
For Python 3.14 free GIL version to be usable, shouldn't also Python libraries be re-written to become thread safe? (or the underlying C infrastructure)
/r/Python
https://redd.it/1o71ejn
For Python 3.14 free GIL version to be usable, shouldn't also Python libraries be re-written to become thread safe? (or the underlying C infrastructure)
/r/Python
https://redd.it/1o71ejn
Reddit
From the Python community on Reddit
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Steps to update Django?
Hi all, I have a Django project that I worked on from 2022 to 2023. It's Django version 4.1 and has about 30+ packages that I haven't updated since 2023.
I'm thinking to update it to Django version 5.2, and maybe even Django 6 in December.
Looking through it, there's a lot of older dependencies like django-allauth version 0.51.0 while now version 65.0.0 is out now, etc.
I just updated my python version to 3.13, and now I'm going through all the dependencies to see if I still need them.
How do you normally approach a Django update? Do you update the Django version first, and then go through all your packages one by one to make sure everything is still compatible? Do you use something like this auto-update library? https://django-upgrade.readthedocs.io/en/latest/
Am I supposed to first update Django from 4.1 --> 5.2 --> 6?
All experiences/opinions/suggestions/tips welcome! Thanks in advance!
/r/django
https://redd.it/1o733qz
Hi all, I have a Django project that I worked on from 2022 to 2023. It's Django version 4.1 and has about 30+ packages that I haven't updated since 2023.
I'm thinking to update it to Django version 5.2, and maybe even Django 6 in December.
Looking through it, there's a lot of older dependencies like django-allauth version 0.51.0 while now version 65.0.0 is out now, etc.
I just updated my python version to 3.13, and now I'm going through all the dependencies to see if I still need them.
How do you normally approach a Django update? Do you update the Django version first, and then go through all your packages one by one to make sure everything is still compatible? Do you use something like this auto-update library? https://django-upgrade.readthedocs.io/en/latest/
Am I supposed to first update Django from 4.1 --> 5.2 --> 6?
All experiences/opinions/suggestions/tips welcome! Thanks in advance!
/r/django
https://redd.it/1o733qz
Recommending
Hi peeps,
I wanna recommend to all of you the tool prek to you. This is a Rust rewrite of the established Python tool pre-commit, which is widely used. Pre-commit is a great tool but it suffers from several limitations:
1. Its pretty slow (although its surprisingly fast for being written in Python)
2. The maintainer (asottile) made it very clear that he is not willing to introduce monorepo support or any other advanced features (e.g. parallelization) asked over the years
I was following this project from its inception (whats now called Prek) and it evolved both very fast and very well. I am now using it across multiple project, e.g. in Kreuzberg, both locally and in CI and it does bring in an at least x10 speed improvement (linting and autoupdate commands!)
So, I warmly recommend this tool, and do show your support for Prek by giving it a star!
/r/Python
https://redd.it/1o77mip
prek - the necessary Rust rewrite of pre-commitHi peeps,
I wanna recommend to all of you the tool prek to you. This is a Rust rewrite of the established Python tool pre-commit, which is widely used. Pre-commit is a great tool but it suffers from several limitations:
1. Its pretty slow (although its surprisingly fast for being written in Python)
2. The maintainer (asottile) made it very clear that he is not willing to introduce monorepo support or any other advanced features (e.g. parallelization) asked over the years
I was following this project from its inception (whats now called Prek) and it evolved both very fast and very well. I am now using it across multiple project, e.g. in Kreuzberg, both locally and in CI and it does bring in an at least x10 speed improvement (linting and autoupdate commands!)
So, I warmly recommend this tool, and do show your support for Prek by giving it a star!
/r/Python
https://redd.it/1o77mip
GitHub
GitHub - j178/prek: ⚡ Better `pre-commit`, re-engineered in Rust
⚡ Better `pre-commit`, re-engineered in Rust. Contribute to j178/prek development by creating an account on GitHub.
Built a Tool to Sync GitHub Issues to Linear – Feedback Welcome!
Hey everyone,
Target Audience: Useful for technical support engineers, dev leads, or anyone managing projects via GitHub and Linear.
What my project does
I’ve built a tool that automatically syncs GitHub issues into Linear tickets. The idea is to reduce the manual overhead of copy-pasting or re-creating issues across platforms, especially when you're using GitHub for external collaboration (e.g., open source, customer bug reports) and Linear for internal planning and prioritization.
You can find it here:
🔗 https://github.com/olaaustine/github-issues-linear
The README is fairly detailed and should help you get it running quickly — it's currently packaged as a customizable Docker container, so setup should be straightforward if you’re familiar with containers.
🧪 Status:
The project is still in early development, so it’s very much a WIP. But it works, and I’m actively iterating on it. The goal is to make it reliable enough for daily use and eventually extend support to other issue trackers beyond Linear.
I’d really appreciate any thoughts or ideas – even if it’s just a quick reaction. Thanks!
/r/Python
https://redd.it/1o77t5h
Hey everyone,
Target Audience: Useful for technical support engineers, dev leads, or anyone managing projects via GitHub and Linear.
What my project does
I’ve built a tool that automatically syncs GitHub issues into Linear tickets. The idea is to reduce the manual overhead of copy-pasting or re-creating issues across platforms, especially when you're using GitHub for external collaboration (e.g., open source, customer bug reports) and Linear for internal planning and prioritization.
You can find it here:
🔗 https://github.com/olaaustine/github-issues-linear
The README is fairly detailed and should help you get it running quickly — it's currently packaged as a customizable Docker container, so setup should be straightforward if you’re familiar with containers.
🧪 Status:
The project is still in early development, so it’s very much a WIP. But it works, and I’m actively iterating on it. The goal is to make it reliable enough for daily use and eventually extend support to other issue trackers beyond Linear.
I’d really appreciate any thoughts or ideas – even if it’s just a quick reaction. Thanks!
/r/Python
https://redd.it/1o77t5h
GitHub
GitHub - olaaustine/github-issues-linear: Automatically syncs GitHub issues to Linear as tickets — no manual copying or context…
Automatically syncs GitHub issues to Linear as tickets — no manual copying or context switching. - olaaustine/github-issues-linear
Please suggest interesting features for this "generic" movie lookup MVP
#
Hello all,
I just finished building a small hobby project called LetsDiscussMoviez — a minimal web app where you can look up movies and view basic ratings/data (IMDb, Rotten Tomatoes, etc.). It’s currently very generic in functionality — you can browse and view movies, but that’s about it.
Now I need your help:
Instead of turning it into “just another IMDb clone”, I want to add one or two unique, fun or useful features that make it worth visiting regularly.
So — what would you love to see in a movie lookup site?
Some half-baked ideas I’m considering:
“Recommend me a movie like ___ but ___” (mashup-style filters)
Discussion threads under each movie like threads
"People who loved this also hated that” — reverse recommendations maybe?
AI-generated summaries / trivia / character breakdowns
Polls like “Better ending: Fight Club vs Se7en?”
Question for you:
What feature would make you bookmark this site or come back often?
Could be fun, social, niche, or even chaotic — I’m open to weird ideas.
Appreciate any feedback!
/r/django
https://redd.it/1o78vso
#
Hello all,
I just finished building a small hobby project called LetsDiscussMoviez — a minimal web app where you can look up movies and view basic ratings/data (IMDb, Rotten Tomatoes, etc.). It’s currently very generic in functionality — you can browse and view movies, but that’s about it.
Now I need your help:
Instead of turning it into “just another IMDb clone”, I want to add one or two unique, fun or useful features that make it worth visiting regularly.
So — what would you love to see in a movie lookup site?
Some half-baked ideas I’m considering:
“Recommend me a movie like ___ but ___” (mashup-style filters)
Discussion threads under each movie like threads
"People who loved this also hated that” — reverse recommendations maybe?
AI-generated summaries / trivia / character breakdowns
Polls like “Better ending: Fight Club vs Se7en?”
Question for you:
What feature would make you bookmark this site or come back often?
Could be fun, social, niche, or even chaotic — I’m open to weird ideas.
Appreciate any feedback!
/r/django
https://redd.it/1o78vso
Reddit
From the django community on Reddit
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Is there an out-of-box django-allauth with beautiful frontend?
I’ve been working on a project with django-allauth for several weeks. It provides me an easy way to integrate with 3rd party OAuth 2. I’ve finished beautifying some of them like login, signup but it seems like there are still a few of them I should work on even I won’t use any of them.
Is there a way to block some of its urls like inactive users?
Or is there a battery included pack which has sleek style for all templates?
/r/django
https://redd.it/1o6xh5p
I’ve been working on a project with django-allauth for several weeks. It provides me an easy way to integrate with 3rd party OAuth 2. I’ve finished beautifying some of them like login, signup but it seems like there are still a few of them I should work on even I won’t use any of them.
Is there a way to block some of its urls like inactive users?
Or is there a battery included pack which has sleek style for all templates?
/r/django
https://redd.it/1o6xh5p
Reddit
From the django community on Reddit
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Help with structuring the model design
I am building a chat app, and this is currently the state of my models:
from social.models import Profile
class Chat(models.Model):
name = models.CharField(max_length=100, blank=True, null=True)
class ChatParticipant(models.Model):
chat = models.ForeignKey(
Chat, related_name="participants", on_delete=models.CASCADE
)
# Profile model is further linked to User
profile = models.ForeignKey(Profile, related_name="chats", on_delete=models.CASCADE)
def __str__(self):
return f"{self.profile.user.username} in {self.chat}"
class Meta:
unique_together = ["chat", "profile"]
class ChatMessage(models.Model):
content = models.TextField()
chat = models.ForeignKey(Chat, on_delete=models.CASCADE)
sender = models.ForeignKey(
/r/django
https://redd.it/1o73hw7
I am building a chat app, and this is currently the state of my models:
from social.models import Profile
class Chat(models.Model):
name = models.CharField(max_length=100, blank=True, null=True)
class ChatParticipant(models.Model):
chat = models.ForeignKey(
Chat, related_name="participants", on_delete=models.CASCADE
)
# Profile model is further linked to User
profile = models.ForeignKey(Profile, related_name="chats", on_delete=models.CASCADE)
def __str__(self):
return f"{self.profile.user.username} in {self.chat}"
class Meta:
unique_together = ["chat", "profile"]
class ChatMessage(models.Model):
content = models.TextField()
chat = models.ForeignKey(Chat, on_delete=models.CASCADE)
sender = models.ForeignKey(
/r/django
https://redd.it/1o73hw7
Reddit
From the django community on Reddit
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Building a Foundation: Migrating pyOpenSci to Django
https://labs.quansight.org/blog/migrating-pyopensci-to-django
/r/django
https://redd.it/1o71a6k
https://labs.quansight.org/blog/migrating-pyopensci-to-django
/r/django
https://redd.it/1o71a6k
labs.quansight.org
Building a Foundation: Migrating pyOpenSci to Django
How we built a modern, Python-native foundation for pyOpenSci website using Django, Wagtail, and Tailwind CSS—from project setup to production-ready features.
Zuban - A Python Language Server / Typechecker - Beta Release
I have just created a Beta Release for Zuban.
Zuban now supports all key features of a Python Language Server — including completions, rename, and type checking — with auto-imports coming soon.
Zuban is a high-performance Python Language Server and type checker implemented in Rust, by the author of Jedi. Zuban is 20–200× faster than Mypy, while using roughly half the memory and CPU compared to Ty and Pyrefly. It offers both a PyRight-like mode and a Mypy-compatible mode, which behaves just like Mypy;
supporting the same config files, command-line flags, and error messages.
You can find the source code here.
Different Python type checkers are compared here.
The Zuban type checker is now in a very stable state, with many issues resolved and only a few remaining. The next planned features include dedicated support for Django and Pytest.
### Support
If you have a large Mypy codebase that needs significant bug fixing, I’d be happy to help.
/r/Python
https://redd.it/1o7bat4
I have just created a Beta Release for Zuban.
Zuban now supports all key features of a Python Language Server — including completions, rename, and type checking — with auto-imports coming soon.
Zuban is a high-performance Python Language Server and type checker implemented in Rust, by the author of Jedi. Zuban is 20–200× faster than Mypy, while using roughly half the memory and CPU compared to Ty and Pyrefly. It offers both a PyRight-like mode and a Mypy-compatible mode, which behaves just like Mypy;
supporting the same config files, command-line flags, and error messages.
You can find the source code here.
Different Python type checkers are compared here.
The Zuban type checker is now in a very stable state, with many issues resolved and only a few remaining. The next planned features include dedicated support for Django and Pytest.
### Support
If you have a large Mypy codebase that needs significant bug fixing, I’d be happy to help.
/r/Python
https://redd.it/1o7bat4
GitHub
GitHub - zubanls/zuban: Python Type Checker / Language Server
Python Type Checker / Language Server. Contribute to zubanls/zuban development by creating an account on GitHub.
Completely rewrote Buridan UI
Hey everyone, so today I decided to rewrite my ui lib from scratch and implemented a new site architecture. It's not perfect nor is it the last iteration, but I really liked the results and so I deccided to share it here!
**What My Project Does**
Buridan UI is a component library for Reflex that you copy and paste directly into your project instead of installing as a package. It provides:
* Wrapped React components (CountUp, Icons, Spinner, Typed effects, etc.)
* Pre-built UI patterns and layouts
* Chart components and data visualizations
* JavaScript integrations ready to use
* Multiple theming options (Hematite, Feyrouz, Yaqout, Zumurrud, Kahraman, Amethyst)
New features in this rewrite:
* **Markdown files static serve** \- you can view the content as markdown
* **AI assistant integration** \- Click to open ChatGPT or Claude with pre-filled prompts about the component or page that can be easily scrapped in markdown
* **SPA architecture** \- Completely rebuilt for smoother navigation and better performance
* **Cleaner codebase** \- Rewrote everything from scratch with lessons learned from v1
**Target Audience**
This is built for any Reflex developer, the copy-paste approach means you can use it in serious projects without worrying about the library being abandoned or breaking changes in updates.
**Comparison**
It's heavily inspired theme from
/r/Python
https://redd.it/1o7k3y6
Hey everyone, so today I decided to rewrite my ui lib from scratch and implemented a new site architecture. It's not perfect nor is it the last iteration, but I really liked the results and so I deccided to share it here!
**What My Project Does**
Buridan UI is a component library for Reflex that you copy and paste directly into your project instead of installing as a package. It provides:
* Wrapped React components (CountUp, Icons, Spinner, Typed effects, etc.)
* Pre-built UI patterns and layouts
* Chart components and data visualizations
* JavaScript integrations ready to use
* Multiple theming options (Hematite, Feyrouz, Yaqout, Zumurrud, Kahraman, Amethyst)
New features in this rewrite:
* **Markdown files static serve** \- you can view the content as markdown
* **AI assistant integration** \- Click to open ChatGPT or Claude with pre-filled prompts about the component or page that can be easily scrapped in markdown
* **SPA architecture** \- Completely rebuilt for smoother navigation and better performance
* **Cleaner codebase** \- Rewrote everything from scratch with lessons learned from v1
**Target Audience**
This is built for any Reflex developer, the copy-paste approach means you can use it in serious projects without worrying about the library being abandoned or breaking changes in updates.
**Comparison**
It's heavily inspired theme from
/r/Python
https://redd.it/1o7k3y6
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/1o7rffb
# 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/1o7rffb
Reddit
From the Python community on Reddit
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Jinja language server vscode extension
Found it today: https://marketplace.visualstudio.com/items?itemName=noamzaks.jinja-ls
Also found for neovim, but I am not sure if this is jinja or minijinja LSP: https://github.com/uros-5/jinja-lsp
Try them out post here if they work good.
/r/flask
https://redd.it/1o7p6oi
Found it today: https://marketplace.visualstudio.com/items?itemName=noamzaks.jinja-ls
Also found for neovim, but I am not sure if this is jinja or minijinja LSP: https://github.com/uros-5/jinja-lsp
Try them out post here if they work good.
/r/flask
https://redd.it/1o7p6oi
Visualstudio
Jinja Language Server - Visual Studio Marketplace
Extension for Visual Studio Code - Feature-rich language server for Jinja.
[Project] doespythonhaveit: a semantic search engine for Python libraries
Hey folks! I've been working on an open-source project called **doespythonhaveit**, a **semantic search engine for Python libraries** powered by `FastAPI` and `sentence-transformers`.
Basically, you can type something like:
>"machine learning time series"
and it'll (hopefully) suggest things like scikit-learn or darts.
The goal is to make discovering Python libraries faster, smarter, and a little less about keyword guessing.
It's not live *yet* (hosting the model costs a bit), but you can **try it locally**, setup instructions are in the repos:
* API: [github.com/hasboi/doespythonhaveit-api](https://github.com/hasboi/doespythonhaveit-api)
* Web: [github.com/hasboi/doespythonhaveit-web](https://github.com/hasboi/doespythonhaveit-web)
---
# What My Project Does
**doespythonhaveit** lets you search Python libraries *by meaning*, not by exact keywords. Instead of googling *"python library for handling CSVs elegantly"* and clicking through five Stack Overflow posts, you can just search that sentence directly — and it'll understand what you mean using embeddings.
I am also planning a **terminal version**, so you can type something like:
dphi <query> <flags>
and it will suggest relevant libraries **without leaving your code editor or terminal**, basically a semantic library search right where you write code.
---
# Target Audience
Mainly aimed at:
* **Developers** who are tired of remembering exact library names
* **Beginners** who want to discover tools without knowing where to start
* **Open-source enthusiasts** who love browsing cool Python projects
Right now
/r/Python
https://redd.it/1o80g8o
Hey folks! I've been working on an open-source project called **doespythonhaveit**, a **semantic search engine for Python libraries** powered by `FastAPI` and `sentence-transformers`.
Basically, you can type something like:
>"machine learning time series"
and it'll (hopefully) suggest things like scikit-learn or darts.
The goal is to make discovering Python libraries faster, smarter, and a little less about keyword guessing.
It's not live *yet* (hosting the model costs a bit), but you can **try it locally**, setup instructions are in the repos:
* API: [github.com/hasboi/doespythonhaveit-api](https://github.com/hasboi/doespythonhaveit-api)
* Web: [github.com/hasboi/doespythonhaveit-web](https://github.com/hasboi/doespythonhaveit-web)
---
# What My Project Does
**doespythonhaveit** lets you search Python libraries *by meaning*, not by exact keywords. Instead of googling *"python library for handling CSVs elegantly"* and clicking through five Stack Overflow posts, you can just search that sentence directly — and it'll understand what you mean using embeddings.
I am also planning a **terminal version**, so you can type something like:
dphi <query> <flags>
and it will suggest relevant libraries **without leaving your code editor or terminal**, basically a semantic library search right where you write code.
---
# Target Audience
Mainly aimed at:
* **Developers** who are tired of remembering exact library names
* **Beginners** who want to discover tools without knowing where to start
* **Open-source enthusiasts** who love browsing cool Python projects
Right now
/r/Python
https://redd.it/1o80g8o
GitHub
GitHub - hasboi/doespythonhaveit-api: A place where you can find Python libraries that fit your project.
A place where you can find Python libraries that fit your project. - hasboi/doespythonhaveit-api
InfoLens - A python based GUI dashboard
Hello everyone!
I’ve been working on a Python project called InfoLens, a CustomTkinter\-based GUI dashboard that fetches and displays personalized information across multiple genres — news, finance, and weather — all in one place.
# What My Project Does:
It pulls live data from credible sources like:
🧪ScienceDaily – for science and innovation headlines
💰Economic Times & Yahoo Finance API – for real-time stock data and trends
🌤️**wttr.in** API – for location-based weather updates
# Purpose:
We live in a world where information surrounds us everywhere. In fact, the average person in 2025 processes about 75-80 GB of information per day up from 34 GB in 2008 and 63 GB in 2012. That includes all the ads, unnecessary clutter that one doesn't even need. However, studies have shown color-coded dashboards improved visual search performance and recall, enhancing both comprehension and memory; exactly what InfoLens does!
# 🔧Built with:
Python
CustomTkinter for the GUI
Web scraping (BeautifulSoup, requests)
APIs (yfinance, wttr.in, etc.)
# Target Audience:
Currently this is a side project, but meant for all python enthusiasts who are eager to provide their invaluable experience in this app.
# Comparison:
As a GUI dashboard, InfoLens focuses highly on data readability. While other tools like Perplexity exist, InfoLens is unique in the problem solving sense, using web scraping to
/r/Python
https://redd.it/1o86n2t
Hello everyone!
I’ve been working on a Python project called InfoLens, a CustomTkinter\-based GUI dashboard that fetches and displays personalized information across multiple genres — news, finance, and weather — all in one place.
# What My Project Does:
It pulls live data from credible sources like:
🧪ScienceDaily – for science and innovation headlines
💰Economic Times & Yahoo Finance API – for real-time stock data and trends
🌤️**wttr.in** API – for location-based weather updates
# Purpose:
We live in a world where information surrounds us everywhere. In fact, the average person in 2025 processes about 75-80 GB of information per day up from 34 GB in 2008 and 63 GB in 2012. That includes all the ads, unnecessary clutter that one doesn't even need. However, studies have shown color-coded dashboards improved visual search performance and recall, enhancing both comprehension and memory; exactly what InfoLens does!
# 🔧Built with:
Python
CustomTkinter for the GUI
Web scraping (BeautifulSoup, requests)
APIs (yfinance, wttr.in, etc.)
# Target Audience:
Currently this is a side project, but meant for all python enthusiasts who are eager to provide their invaluable experience in this app.
# Comparison:
As a GUI dashboard, InfoLens focuses highly on data readability. While other tools like Perplexity exist, InfoLens is unique in the problem solving sense, using web scraping to
/r/Python
https://redd.it/1o86n2t
wttr.in
Weather report: not found
Local deployment and AI assistants
I’m looking for the best deployment strategy for local only django web apps.
My strategy is using Waitress (windows server) whitenoise (staticfiles) APScheduler (tasks)
And which AI assistance you well while building complicated django applications.
I was using cursor with sonnet 4 but lately i stop vibe coding and focussed on building the whole app but it takes forever
Thanks in advance
/r/django
https://redd.it/1o83o37
I’m looking for the best deployment strategy for local only django web apps.
My strategy is using Waitress (windows server) whitenoise (staticfiles) APScheduler (tasks)
And which AI assistance you well while building complicated django applications.
I was using cursor with sonnet 4 but lately i stop vibe coding and focussed on building the whole app but it takes forever
Thanks in advance
/r/django
https://redd.it/1o83o37
Reddit
From the django community on Reddit
Explore this post and more from the django community
Anyone care to review my PR?
Just for a fun little experiment, this is a library I wrote a while ago based on Django-ninja and stateless JWT auth.
I just got a bit time to make some improvements, this PR adds the ability to instantiating a User instances statelessly during request handling without querying the database, which is a particularly helpful pattern for micro services where the auth service (and database) is isolated.
Let me know what your thoughts are: https://github.com/oscarychen/django-ninja-simple-jwt/pull/25
/r/django
https://redd.it/1o7nmpo
Just for a fun little experiment, this is a library I wrote a while ago based on Django-ninja and stateless JWT auth.
I just got a bit time to make some improvements, this PR adds the ability to instantiating a User instances statelessly during request handling without querying the database, which is a particularly helpful pattern for micro services where the auth service (and database) is isolated.
Let me know what your thoughts are: https://github.com/oscarychen/django-ninja-simple-jwt/pull/25
/r/django
https://redd.it/1o7nmpo
GitHub
Allows stateless authentication and instantiation of Django User model (instead of AnonymousUser) by oscarychen · Pull Request…
Follow up to conversation on previous PR:
Currently, django-ninja-simple-jwt authenticates statelessly using JWT token, the authenticated request in Django will have an AnonymousUser instance but w...
Currently, django-ninja-simple-jwt authenticates statelessly using JWT token, the authenticated request in Django will have an AnonymousUser instance but w...