Django deployed on Render gets me forbidden error in post
So recently i deployed backend made on django on render and frontend made on react on vercel so locally it was working perfectly but when i deployed on homepage i was calling an api which was GET request and it also worked perfectly on deployed version as well but on POST request its giving me forbidden error when i looked into it further it was something like CSRF error like from react i have to POST it with CSRF added to it .. so for calling any api i made a file called apiClient.js which i call for every api request (A small API client file that i call that fetches data from the backend, attaches CSRF tokens to non-GET requests, retries on 403 by refreshing the token, and always returns JSON.) and in the code itself i tackle an issue like i was not getting the csrftoken itself , like if i print document.cookies it gave me null all time .. i am trying to solve these issue from past few days tried chatgpt, gemini, deepseek , not solved the error yet . Please help me to fix these error or even if someone tackled the same issue you
/r/djangolearning
https://redd.it/1nbd0ss
So recently i deployed backend made on django on render and frontend made on react on vercel so locally it was working perfectly but when i deployed on homepage i was calling an api which was GET request and it also worked perfectly on deployed version as well but on POST request its giving me forbidden error when i looked into it further it was something like CSRF error like from react i have to POST it with CSRF added to it .. so for calling any api i made a file called apiClient.js which i call for every api request (A small API client file that i call that fetches data from the backend, attaches CSRF tokens to non-GET requests, retries on 403 by refreshing the token, and always returns JSON.) and in the code itself i tackle an issue like i was not getting the csrftoken itself , like if i print document.cookies it gave me null all time .. i am trying to solve these issue from past few days tried chatgpt, gemini, deepseek , not solved the error yet . Please help me to fix these error or even if someone tackled the same issue you
/r/djangolearning
https://redd.it/1nbd0ss
Reddit
From the djangolearning community on Reddit
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Django needs a REST story
https://forum.djangoproject.com/t/django-needs-a-rest-story/42814
/r/django
https://redd.it/1nfssaq
https://forum.djangoproject.com/t/django-needs-a-rest-story/42814
/r/django
https://redd.it/1nfssaq
Django Forum
Django needs a REST story
In my DjangoCon US talk, “All the Ways to Use Django”, I had several ideas for how Django could improve as a framework. My first and most actionable idea was for Django to have native support REST APIs. I have been in many discussions about this at DjangoCon…
Built a simple, open-source test planner your team can start using today
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https://kingyo-demo.pages.dev
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Reddit
Built a simple, open-source test planner your team can start using today : r/django
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Seeking better opportunities - Advice needed!
Hi everyone,
I'm a Full-Stack developer from Spain with over 4 years of experience, mainly working with Django and Python. I'm currently the sole tech lead on a project, working remotely. While I love what I do, I feel a bit stuck due to the relatively low salaries in Spain and limited growth opportunities.
I'm looking for advice on how to transition to better opportunities abroad (ideally remote or in another country with a stronger tech scene). Has anyone made a similar move? What platforms, strategies, or skills would you recommend to stand out internationally? Any tips on navigating visas or finding remote roles with higher pay?
Thanks in advance for any advice!
/r/django
https://redd.it/1nfdx6j
Hi everyone,
I'm a Full-Stack developer from Spain with over 4 years of experience, mainly working with Django and Python. I'm currently the sole tech lead on a project, working remotely. While I love what I do, I feel a bit stuck due to the relatively low salaries in Spain and limited growth opportunities.
I'm looking for advice on how to transition to better opportunities abroad (ideally remote or in another country with a stronger tech scene). Has anyone made a similar move? What platforms, strategies, or skills would you recommend to stand out internationally? Any tips on navigating visas or finding remote roles with higher pay?
Thanks in advance for any advice!
/r/django
https://redd.it/1nfdx6j
Reddit
From the django community on Reddit
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Announcing iceoryx2 v0.7: Fast and Robust Inter-Process Communication (IPC) Library
Hello hello,
I am one of the maintainers of the open-source zero-copy middleware iceoryx2, and we’ve just released iceoryx2 v0.7 which comes with Python language bindings. That means you can now use fast zero-copy communication directly in Python. Here is the full release blog: [https://ekxide.io/blog/iceoryx2-0-7-release/](https://ekxide.io/blog/iceoryx2-0-7-release/)
With iceoryx2 you can communicate between different processes, send data with publish-subscribe, build more complex request-response streams, or orchestrate processes using the event messaging pattern with notifiers and listeners.
We’ve prepared a set of Python examples here: [https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples/python](https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples/python)
On top of that, we invested some time into writing a detailed getting started guide in the iceoryx2 book: [https://ekxide.github.io/iceoryx2-book/main/getting-started/quickstart.html](https://ekxide.github.io/iceoryx2-book/main/getting-started/quickstart.html)
And one more thing: iceoryx2 lets Python talk directly to C, C++ and Rust processes - without any serialization or binding overhead. Check out the cross-language publish-subscribe example to see it in action: [https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples](https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples)
So in short:
* **What My Project Does:** Zero-Copy Inter-Process Communication
* **Target Audience:** Developers building distributed systems, plugin-based applications, or safety-critical and certifiable systems
* **Comparision:** Provides a high-level, service-oriented abstraction over low-level shared memory system calls
/r/Python
https://redd.it/1nfvo8y
Hello hello,
I am one of the maintainers of the open-source zero-copy middleware iceoryx2, and we’ve just released iceoryx2 v0.7 which comes with Python language bindings. That means you can now use fast zero-copy communication directly in Python. Here is the full release blog: [https://ekxide.io/blog/iceoryx2-0-7-release/](https://ekxide.io/blog/iceoryx2-0-7-release/)
With iceoryx2 you can communicate between different processes, send data with publish-subscribe, build more complex request-response streams, or orchestrate processes using the event messaging pattern with notifiers and listeners.
We’ve prepared a set of Python examples here: [https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples/python](https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples/python)
On top of that, we invested some time into writing a detailed getting started guide in the iceoryx2 book: [https://ekxide.github.io/iceoryx2-book/main/getting-started/quickstart.html](https://ekxide.github.io/iceoryx2-book/main/getting-started/quickstart.html)
And one more thing: iceoryx2 lets Python talk directly to C, C++ and Rust processes - without any serialization or binding overhead. Check out the cross-language publish-subscribe example to see it in action: [https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples](https://github.com/eclipse-iceoryx/iceoryx2/tree/main/examples)
So in short:
* **What My Project Does:** Zero-Copy Inter-Process Communication
* **Target Audience:** Developers building distributed systems, plugin-based applications, or safety-critical and certifiable systems
* **Comparision:** Provides a high-level, service-oriented abstraction over low-level shared memory system calls
/r/Python
https://redd.it/1nfvo8y
ekxide IO GmbH
ekxide IO GmbH | The company behind iceoryx and iceoryx2 | iceoryx Support & Training
Official iceoryx support, training and custom feature development by ekxide IO GmbH. Expert C++ & Rust engineering services for mission-critical projects and systems.
Help!!. How do I approach to write code for this?
I have product and product_img table relation(one-many),
if client sends the form containing datas of product and product_img in single request,
what approach should i use(or standard),
should i extract text and img separately and feed to serializer and save it ?
or should i use nested serializer?
/r/django
https://redd.it/1nfn641
I have product and product_img table relation(one-many),
if client sends the form containing datas of product and product_img in single request,
what approach should i use(or standard),
should i extract text and img separately and feed to serializer and save it ?
or should i use nested serializer?
/r/django
https://redd.it/1nfn641
Reddit
From the django community on Reddit
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MathFlow: an easy-to-use math library for python
Project Site: [https://github.com/cybergeek1943/MathFlow](https://github.com/cybergeek1943/MathFlow)
In the process of doing research for my paper [Combinatorial and Gaussian Foundations of Rational Nth Root Approximations](https://doi.org/10.48550/arXiv.2508.14095) (on arXiv), I created this library to address the pain points I felt when using only SymPy and SciPy separately. I wanted something lightweight, easy to use (exploratory), and something that would support numerical methods more easily. Hence, I created this lightweight wrapper that provides a hybrid symbolic-numerical interface to symbolic and numerical backends. It is backward compatible with Sympy. In short, this enables much faster analysis of symbolic math expressions by providing both numerical and traditional symbolic methods of analysis in the same interface. I have also added additional numerical methods that neither SymPy nor SciPy have (Pade approximations, numerical roots, etc.). The main goal for this project is to provide a tool that requires as little of a learning curve as possible and allows them to just focus on the math they are doing.
# Core features
* **🔒 Operative Closure**: Mathematical operations return new Expression objects by default
* **⚡ Mutability Control**: Choose between immutable (default) and mutable expressions for different workflows
* **🔗 Seamless Numerical Integration**: Every symbolic expression has a `.n` attribute providing numerical methods without manual lambdification (uses cached lambdified
/r/Python
https://redd.it/1nfyq8o
Project Site: [https://github.com/cybergeek1943/MathFlow](https://github.com/cybergeek1943/MathFlow)
In the process of doing research for my paper [Combinatorial and Gaussian Foundations of Rational Nth Root Approximations](https://doi.org/10.48550/arXiv.2508.14095) (on arXiv), I created this library to address the pain points I felt when using only SymPy and SciPy separately. I wanted something lightweight, easy to use (exploratory), and something that would support numerical methods more easily. Hence, I created this lightweight wrapper that provides a hybrid symbolic-numerical interface to symbolic and numerical backends. It is backward compatible with Sympy. In short, this enables much faster analysis of symbolic math expressions by providing both numerical and traditional symbolic methods of analysis in the same interface. I have also added additional numerical methods that neither SymPy nor SciPy have (Pade approximations, numerical roots, etc.). The main goal for this project is to provide a tool that requires as little of a learning curve as possible and allows them to just focus on the math they are doing.
# Core features
* **🔒 Operative Closure**: Mathematical operations return new Expression objects by default
* **⚡ Mutability Control**: Choose between immutable (default) and mutable expressions for different workflows
* **🔗 Seamless Numerical Integration**: Every symbolic expression has a `.n` attribute providing numerical methods without manual lambdification (uses cached lambdified
/r/Python
https://redd.it/1nfyq8o
GitHub
GitHub - cybergeek1943/MathFlow: Like `requests` for mathematical computing, making complex math feel simple.
Like `requests` for mathematical computing, making complex math feel simple. - cybergeek1943/MathFlow
Interactive Relationship-Aware Vector Search for Jupyter
# 🧬 RudraDB-Opin: Interactive Relationship-Aware Vector Search for Jupyter
**Turn your notebook into an intelligent research assistant that discovers hidden connections.**
# Perfect for Interactive Research
Working in Jupyter? Tired of losing track of related papers, connected concepts, and follow-up ideas? RudraDB-Opin brings **relationship-aware search** directly to your interactive Python environment.
# Beyond Similarity Search
Traditional vector search in notebooks: "Find papers similar to this one"
**RudraDB-Opin**: "Find papers similar to this one + cited works + follow-up research + related methodologies + prerequisite concepts"
# 🎯 Built for Research Workflows
# Interactive Discovery
* **Multi-hop exploration** \- Start with one paper, discover research chains
* **Relationship visualization** \- See how your documents connect
* **Dynamic relationship building** \- Add connections as you discover them
* **Auto-dimension detection** \- Works with any embedding model instantly
# Research Organization Made Easy
* **Hierarchical relationships** \- Literature reviews → Key papers → Specific methods
* **Temporal connections** \- Research progression over time
* **Causal links** \- Problem → Methodology → Solution → Applications
* **Cross-references** \- Related work and citations
* **Thematic clustering** \- Group by research themes automatically
# 🔬 Research Use Cases
**Literature Review**: Start with key paper → Auto-discover entire research lineage
**Knowledge Base**: Build searchable repository of papers with intelligent connections
**Research Planning**: Map
/r/IPython
https://redd.it/1nfrf3p
# 🧬 RudraDB-Opin: Interactive Relationship-Aware Vector Search for Jupyter
**Turn your notebook into an intelligent research assistant that discovers hidden connections.**
# Perfect for Interactive Research
Working in Jupyter? Tired of losing track of related papers, connected concepts, and follow-up ideas? RudraDB-Opin brings **relationship-aware search** directly to your interactive Python environment.
# Beyond Similarity Search
Traditional vector search in notebooks: "Find papers similar to this one"
**RudraDB-Opin**: "Find papers similar to this one + cited works + follow-up research + related methodologies + prerequisite concepts"
# 🎯 Built for Research Workflows
# Interactive Discovery
* **Multi-hop exploration** \- Start with one paper, discover research chains
* **Relationship visualization** \- See how your documents connect
* **Dynamic relationship building** \- Add connections as you discover them
* **Auto-dimension detection** \- Works with any embedding model instantly
# Research Organization Made Easy
* **Hierarchical relationships** \- Literature reviews → Key papers → Specific methods
* **Temporal connections** \- Research progression over time
* **Causal links** \- Problem → Methodology → Solution → Applications
* **Cross-references** \- Related work and citations
* **Thematic clustering** \- Group by research themes automatically
# 🔬 Research Use Cases
**Literature Review**: Start with key paper → Auto-discover entire research lineage
**Knowledge Base**: Build searchable repository of papers with intelligent connections
**Research Planning**: Map
/r/IPython
https://redd.it/1nfrf3p
Reddit
From the IPython community on Reddit: Interactive Relationship-Aware Vector Search for Jupyter
Explore this post and more from the IPython community
SplitterMR: a modular library for splitting & parsing documents
Hey guys, I just released **SplitterMR**, a library I built because none of the existing tools quite did what I wanted for slicing up documents cleanly for LLMs / downstream processing.
If you often work with **mixed document types** (PDFs, Word, Excel, Markdown, images, etc.) and **need flexible, reliable splitting/parsing**, this might be useful.
This library supports **multiple input formats**, e.g., text, Markdown, PDF, Word / Excel / PowerPoint, HTML / XML, JSON / YAML, CSV / TSV, and even images.
Files can be read using **MarkItDown** or **Docling**, so this is perfect if you are using those frameworks with your current applications.
Logically, it supports **many different splitting strategies**: not only based on the number of characters but on tokens, schema keys, semantic similarity, and many other techniques. You can even develop your own splitter using the Base object, and it is the same for the Readers!
In addition, **you can process the graphical resources of your documents (e.g., photos) using VLMs** (OpenAI, Gemini, HuggingFace, etc.), so you can extract the text or caption them!
# What’s new / what’s good in the latest release
* Stable Version **1.0.0** is out.
* Supports **more input formats / more robust readers**.
* **Stable API** for the Reader abstractions so
/r/Python
https://redd.it/1ng2h8x
Hey guys, I just released **SplitterMR**, a library I built because none of the existing tools quite did what I wanted for slicing up documents cleanly for LLMs / downstream processing.
If you often work with **mixed document types** (PDFs, Word, Excel, Markdown, images, etc.) and **need flexible, reliable splitting/parsing**, this might be useful.
This library supports **multiple input formats**, e.g., text, Markdown, PDF, Word / Excel / PowerPoint, HTML / XML, JSON / YAML, CSV / TSV, and even images.
Files can be read using **MarkItDown** or **Docling**, so this is perfect if you are using those frameworks with your current applications.
Logically, it supports **many different splitting strategies**: not only based on the number of characters but on tokens, schema keys, semantic similarity, and many other techniques. You can even develop your own splitter using the Base object, and it is the same for the Readers!
In addition, **you can process the graphical resources of your documents (e.g., photos) using VLMs** (OpenAI, Gemini, HuggingFace, etc.), so you can extract the text or caption them!
# What’s new / what’s good in the latest release
* Stable Version **1.0.0** is out.
* Supports **more input formats / more robust readers**.
* **Stable API** for the Reader abstractions so
/r/Python
https://redd.it/1ng2h8x
Reddit
From the Python community on Reddit: SplitterMR: a modular library for splitting & parsing documents
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I built QRPorter — local Wi-Fi file transfer via QR (PC ↔ Mobile)
Hi everyone, I built **QRPorter**, a small open-source utility that moves files between desktop and mobile over your LAN/Wi-Fi using QR codes. No cloud, no mobile app, no accounts — just scan & transfer.
# What it does
* **PC → Mobile file transfer:** select a file on your desktop, generate a QR code, scan with your phone and download the file in the phone browser.
* **Mobile → PC file transfer:** scan the QR on the PC, open the link on your phone, upload a file from the phone and it’s saved on the PC.
# Target audience
* Developers, students, and office users who frequently move screenshots, small media or documents between phone ↔ PC.
* Privacy-conscious users who want transfers to stay on their LAN/Wi-Fi (no third-party servers).
* Anyone who wants a dead-simple cross-device transfer without installing mobile apps.
# Comparison
* **No extra mobile apps / accounts** — works via the phone’s browser and the desktop app.
* **Local-first** — traffic stays on your Wi-Fi/LAN (no cloud).
* **Cross-platform** — desktop UI + web interface works with modern mobile browsers (Windows / macOS / Linux / iOS / Android).
# Requirements & tested platforms
* **Python 3.12+** and `pip`.
* Tested on **Windows 11** and **Linux**; macOS should work.
*
/r/Python
https://redd.it/1nfupw4
Hi everyone, I built **QRPorter**, a small open-source utility that moves files between desktop and mobile over your LAN/Wi-Fi using QR codes. No cloud, no mobile app, no accounts — just scan & transfer.
# What it does
* **PC → Mobile file transfer:** select a file on your desktop, generate a QR code, scan with your phone and download the file in the phone browser.
* **Mobile → PC file transfer:** scan the QR on the PC, open the link on your phone, upload a file from the phone and it’s saved on the PC.
# Target audience
* Developers, students, and office users who frequently move screenshots, small media or documents between phone ↔ PC.
* Privacy-conscious users who want transfers to stay on their LAN/Wi-Fi (no third-party servers).
* Anyone who wants a dead-simple cross-device transfer without installing mobile apps.
# Comparison
* **No extra mobile apps / accounts** — works via the phone’s browser and the desktop app.
* **Local-first** — traffic stays on your Wi-Fi/LAN (no cloud).
* **Cross-platform** — desktop UI + web interface works with modern mobile browsers (Windows / macOS / Linux / iOS / Android).
# Requirements & tested platforms
* **Python 3.12+** and `pip`.
* Tested on **Windows 11** and **Linux**; macOS should work.
*
/r/Python
https://redd.it/1nfupw4
Reddit
From the Python community on Reddit: I built QRPorter — local Wi-Fi file transfer via QR (PC ↔ Mobile)
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Nominate a Djangonaut for the 2025 Malcolm Tredinnick Memorial Prize
https://www.djangoproject.com/weblog/2025/sep/13/nominate-a-djangonaut-for-the-2025-malcolm-prize/
/r/django
https://redd.it/1ng7qi3
https://www.djangoproject.com/weblog/2025/sep/13/nominate-a-djangonaut-for-the-2025-malcolm-prize/
/r/django
https://redd.it/1ng7qi3
Django Project
Nominate a Djangonaut for the 2025 Malcolm Tredinnick Memorial Prize
Posted by Sarah Abderemane on Sept. 13, 2025
Sunday Daily Thread: What's everyone working on this week?
# Weekly Thread: What's Everyone Working On This Week? 🛠️
Hello /r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!
## How it Works:
1. Show & Tell: Share your current projects, completed works, or future ideas.
2. Discuss: Get feedback, find collaborators, or just chat about your project.
3. Inspire: Your project might inspire someone else, just as you might get inspired here.
## Guidelines:
Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome.
Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here.
## Example Shares:
1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
2. Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
3. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier!
Let's build and grow together! Share your journey and learn from others. Happy coding! 🌟
/r/Python
https://redd.it/1ngcnn7
# Weekly Thread: What's Everyone Working On This Week? 🛠️
Hello /r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!
## How it Works:
1. Show & Tell: Share your current projects, completed works, or future ideas.
2. Discuss: Get feedback, find collaborators, or just chat about your project.
3. Inspire: Your project might inspire someone else, just as you might get inspired here.
## Guidelines:
Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome.
Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here.
## Example Shares:
1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
2. Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
3. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier!
Let's build and grow together! Share your journey and learn from others. Happy coding! 🌟
/r/Python
https://redd.it/1ngcnn7
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
midi-visualiser: A real-time MIDI player and visualiser.
Hi all, I recently revisited an old project I created to visualise MIDI music (using a piano roll) and after some tidying up and fixes I've now uploaded it to PyPI! The program allows single MIDI files or playlists of MIDI files to be loaded and visualised through a command-line tool.
It's fairly simple, using Pygame to display the visualiser window and provide playback control, but I'm pretty proud of how it looks and the audio-syncing logic (which uses Mido to interpret MIDI events). More details on how to use it are available in the project repository.
This is the first project I've used uv for, and I absolutely love it - check it out if you haven't already. Also, any suggestions/comments about the project would be greatly appreciated as I'm very new to uploading to PyPI!
To summarise;
- What My Project Does: Plays MIDI files and visualises them using a scrolling piano roll
- Target Audience: Mainly just a toy project, but could be used by anyone who wants a simple & quick way to view any MIDI file!
- Comparison: I can't find any alternatives that have this same functionality (at least not made in Python) - it obviously can't compete with mega fancy MIDI visualisers, but
/r/Python
https://redd.it/1ng9en6
Hi all, I recently revisited an old project I created to visualise MIDI music (using a piano roll) and after some tidying up and fixes I've now uploaded it to PyPI! The program allows single MIDI files or playlists of MIDI files to be loaded and visualised through a command-line tool.
It's fairly simple, using Pygame to display the visualiser window and provide playback control, but I'm pretty proud of how it looks and the audio-syncing logic (which uses Mido to interpret MIDI events). More details on how to use it are available in the project repository.
This is the first project I've used uv for, and I absolutely love it - check it out if you haven't already. Also, any suggestions/comments about the project would be greatly appreciated as I'm very new to uploading to PyPI!
To summarise;
- What My Project Does: Plays MIDI files and visualises them using a scrolling piano roll
- Target Audience: Mainly just a toy project, but could be used by anyone who wants a simple & quick way to view any MIDI file!
- Comparison: I can't find any alternatives that have this same functionality (at least not made in Python) - it obviously can't compete with mega fancy MIDI visualisers, but
/r/Python
https://redd.it/1ng9en6
PyPI
midi-visualiser
A real-time MIDI player and visualiser built in Python.
Tea Tasting: t-testing library alternatives?
I dont feel this repo is Pythonic nor are their docs sufficient: https://e10v.me/tea-tasting-analysis-of-experiments/ (am i missing something or stupid?)
Looking for good alternatives - I havent found any
/r/Python
https://redd.it/1ng8qg0
I dont feel this repo is Pythonic nor are their docs sufficient: https://e10v.me/tea-tasting-analysis-of-experiments/ (am i missing something or stupid?)
Looking for good alternatives - I havent found any
/r/Python
https://redd.it/1ng8qg0
Evgeny Ivanov
tea-tasting: a Python package for the statistical analysis of A/B tests | Evgeny Ivanov
Advantages of using tea-tasting for the statistical analysis of experiments.
Building My Django Portfolio - Offering to Build Real Projects (Free or Low-Cost)
I’m currently a Python/Django developer in the making, working through my BCA degree and building my career path toward backend development. I’ve done several projects (REST APIs, dashboards, hackathon apps), but I want to strengthen my portfolio with real-world projects that solve actual problems for people.
That’s why I’m offering to:
* Build small-to-medium Django projects **for free** (or at a very low cost if the scope is bigger).
* Handle the **full stack if needed** (Django backend + React/HTML/CSS frontend).
* Learn and implement **deployment/hosting** , and if you prefer, I can even manage hosting for you at a minimal fee.
✅ Why am I doing this?
* To gain **real client experience** beyond personal projects.
* To practice **hosting, deployment, and maintenance**.
* To create a **stronger portfolio** that helps me land Python/Django roles.
If you’ve been thinking: *“I’d like a small app for my idea / side project / workflow, but don’t have a developer yet”,* this could be a great match.
⚠️ Just to set expectations:
* I’m focusing on **Django-based apps** (CRUD systems, dashboards, APIs, authentication, etc.).
* I’ll provide clear timelines and revisions, but I won’t be able to support endless scope creep.
* All projects will be added to my portfolio/GitHub (unless you’d like it private).
If
/r/django
https://redd.it/1nghsxo
I’m currently a Python/Django developer in the making, working through my BCA degree and building my career path toward backend development. I’ve done several projects (REST APIs, dashboards, hackathon apps), but I want to strengthen my portfolio with real-world projects that solve actual problems for people.
That’s why I’m offering to:
* Build small-to-medium Django projects **for free** (or at a very low cost if the scope is bigger).
* Handle the **full stack if needed** (Django backend + React/HTML/CSS frontend).
* Learn and implement **deployment/hosting** , and if you prefer, I can even manage hosting for you at a minimal fee.
✅ Why am I doing this?
* To gain **real client experience** beyond personal projects.
* To practice **hosting, deployment, and maintenance**.
* To create a **stronger portfolio** that helps me land Python/Django roles.
If you’ve been thinking: *“I’d like a small app for my idea / side project / workflow, but don’t have a developer yet”,* this could be a great match.
⚠️ Just to set expectations:
* I’m focusing on **Django-based apps** (CRUD systems, dashboards, APIs, authentication, etc.).
* I’ll provide clear timelines and revisions, but I won’t be able to support endless scope creep.
* All projects will be added to my portfolio/GitHub (unless you’d like it private).
If
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https://redd.it/1nghsxo
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D which papers HAVEN'T stood the test of time?
As in title! Papers that were released to lots of fanfare but haven't stayed in the zeitgeist also apply.
Less so "didn't stand the test of time" but I'm thinking of KANs. Having said that, it could also be that I don't work in that area, so I don't see it and followup works. I might be totally off the mark here so feel free to say otherwise
/r/MachineLearning
https://redd.it/1ng6dsf
As in title! Papers that were released to lots of fanfare but haven't stayed in the zeitgeist also apply.
Less so "didn't stand the test of time" but I'm thinking of KANs. Having said that, it could also be that I don't work in that area, so I don't see it and followup works. I might be totally off the mark here so feel free to say otherwise
/r/MachineLearning
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Do anyone used JWT here ?
So I am using this JWT in Django because its stateless.
Earlier i was sending it in login response so client can store it and use it .
But since refresh token can be misused . Where to store it on client side? Not in localstorage i guess but how to store and use it securely?
Just needed some advice on this.
/r/django
https://redd.it/1ngpv71
So I am using this JWT in Django because its stateless.
Earlier i was sending it in login response so client can store it and use it .
But since refresh token can be misused . Where to store it on client side? Not in localstorage i guess but how to store and use it securely?
Just needed some advice on this.
/r/django
https://redd.it/1ngpv71
Reddit
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P Convolutional Neural Networks for Audio -- the full story behind SunoAI
Last week i wrote a reddit post, about my project SunoAI and it sorta blew up for my standards. People in the replies were really curious about Convolutional Neural Networks and why I decided to go with them for Audio Classification. So, I decided to write an in depth blog that explains everything there is to know about CNNs from pooling to dropouts to batch normalization. I also go in depth about my results with the CNN I built, and how CNNs see audio, Mel Spectograms and much more.
Checkout this blog for more details https://medium.com/@tanmay.bansal20/mastering-cnns-for-audio-the-full-story-of-how-i-built-sunoai-c97617e59a31?sk=3f247a6c4e8b3af303fb130644aa108b
https://preview.redd.it/kcu0n3eui3pf1.png?width=847&format=png&auto=webp&s=0fae2651a12849dd021176ac706b7f0aa64ca2a9
Also check out the visualiser I built around this CNN, it includes feature maps, waveforms, spectrograms, everything to the last detail https://sunoai.tanmay.space
/r/MachineLearning
https://redd.it/1ngmgxh
Last week i wrote a reddit post, about my project SunoAI and it sorta blew up for my standards. People in the replies were really curious about Convolutional Neural Networks and why I decided to go with them for Audio Classification. So, I decided to write an in depth blog that explains everything there is to know about CNNs from pooling to dropouts to batch normalization. I also go in depth about my results with the CNN I built, and how CNNs see audio, Mel Spectograms and much more.
Checkout this blog for more details https://medium.com/@tanmay.bansal20/mastering-cnns-for-audio-the-full-story-of-how-i-built-sunoai-c97617e59a31?sk=3f247a6c4e8b3af303fb130644aa108b
https://preview.redd.it/kcu0n3eui3pf1.png?width=847&format=png&auto=webp&s=0fae2651a12849dd021176ac706b7f0aa64ca2a9
Also check out the visualiser I built around this CNN, it includes feature maps, waveforms, spectrograms, everything to the last detail https://sunoai.tanmay.space
/r/MachineLearning
https://redd.it/1ngmgxh
Medium
Mastering CNNs for Audio: The Full Story of How I Built an Audio Classifier with 88% accuracy
“Why that architecture? Is it standard? Show me the whole picture.” So here it is — a single, extremely deep, very practical blog post…
D No Google or Meta at EMNLP 2025?
I was going through the EMNLP 2025 sponsors page and noticed something odd. Google and Meta aren’t listed this year. Link here.
Is it that they’re really not sponsoring this time? Or maybe it’s just not updated yet?
For those of us who are PhD students looking for internships, this feels a bit concerning. These conferences are usually where we get to connect with researchers from those companies. If they are not sponsoring or showing up in an official way, what’s the best way for us to still get on their radar?
Curious if others are thinking about this too.
/r/MachineLearning
https://redd.it/1ngsn3g
I was going through the EMNLP 2025 sponsors page and noticed something odd. Google and Meta aren’t listed this year. Link here.
Is it that they’re really not sponsoring this time? Or maybe it’s just not updated yet?
For those of us who are PhD students looking for internships, this feels a bit concerning. These conferences are usually where we get to connect with researchers from those companies. If they are not sponsoring or showing up in an official way, what’s the best way for us to still get on their radar?
Curious if others are thinking about this too.
/r/MachineLearning
https://redd.it/1ngsn3g
EMNLP 2025
Sponsors
Official website for the 2025 Conference on Empirical Methods in Natural Language Processing
Weird Issue
I'm using Django with the rest framework (but I don't think that matters here) and just added a new URL to my site. When making a call to it I get the error:
Forbidden (Origin checking failed - [http://localhost:3000](http://localhost:3000) does not match any trusted origins.
My other urls are all working fine. Does any one have any hints of why this would be happening with just the one URL? I copied and pasted my react axios code and just changed the URL. When I purposefully put a typo into the URL it gives a different error message so I know that that's not it.
Edit: To confirm, I already have the following in my [settings.py](http://settings.py) file
CORS_ALLOWED_ORIGINS = [
'http://localhost:3000'
]
and other URL post calls are working.
UPDATE - Figured it out.
In my url I had
path('set_facility_patient_id/',OnePatientFacilityIDAPI),
when I fixed it to
path('set_facility_patient_id/',OnePatientFacilityIDAPI.as_view()),
it worked.
That wasn't the error message I was expecting for a goof up like this which is why it took me so long to figure it
/r/django
https://redd.it/1ngu7do
I'm using Django with the rest framework (but I don't think that matters here) and just added a new URL to my site. When making a call to it I get the error:
Forbidden (Origin checking failed - [http://localhost:3000](http://localhost:3000) does not match any trusted origins.
My other urls are all working fine. Does any one have any hints of why this would be happening with just the one URL? I copied and pasted my react axios code and just changed the URL. When I purposefully put a typo into the URL it gives a different error message so I know that that's not it.
Edit: To confirm, I already have the following in my [settings.py](http://settings.py) file
CORS_ALLOWED_ORIGINS = [
'http://localhost:3000'
]
and other URL post calls are working.
UPDATE - Figured it out.
In my url I had
path('set_facility_patient_id/',OnePatientFacilityIDAPI),
when I fixed it to
path('set_facility_patient_id/',OnePatientFacilityIDAPI.as_view()),
it worked.
That wasn't the error message I was expecting for a goof up like this which is why it took me so long to figure it
/r/django
https://redd.it/1ngu7do
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