What do you guys use for re-usable components in front end?
Been googling about this and I hear about Jinjax, Htpy, etc. but im not familiar with any of them.
What do you guys use to create re-usable components in your flask app.
/r/flask
https://redd.it/1ieava0
Been googling about this and I hear about Jinjax, Htpy, etc. but im not familiar with any of them.
What do you guys use to create re-usable components in your flask app.
/r/flask
https://redd.it/1ieava0
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Trending Django apps in January
https://django.wtf/trending/?trending=30
/r/django
https://redd.it/1ieg0sz
https://django.wtf/trending/?trending=30
/r/django
https://redd.it/1ieg0sz
django.wtf
Trending Django projects
Trending Django projects in the past 14 days
Create an Adaptive Customer Behavior Analytics Dashboard with Claude AI and Python Flask
https://blog.adnansiddiqi.me/create-an-adaptive-customer-behavior-analytics-dashboard-with-claude-ai-and-python/
/r/flask
https://redd.it/1iebp3h
https://blog.adnansiddiqi.me/create-an-adaptive-customer-behavior-analytics-dashboard-with-claude-ai-and-python/
/r/flask
https://redd.it/1iebp3h
Adnan's Random bytes
Create an Adaptive Customer Behavior Analytics Dashboard with Claude AI and Python
Discover how to analyze consumer behavior with a dynamic dashboard built using Claude AI and Flask. Explore a practical approach to creating adaptive analytics for shopping trends and customer preferences.
Michael Foord has passed away recently
Hi folks,
I'm not sure I saw anything about it on the sub so forgive me if that's the case.
Michael was a singular voice in the Python community, always fighting to help people see things from a different direction. His passion was radiating. He'll be missed.
Here is a beautiful message from Nicholas H.Tollervey.
/r/Python
https://redd.it/1iern75
Hi folks,
I'm not sure I saw anything about it on the sub so forgive me if that's the case.
Michael was a singular voice in the Python community, always fighting to help people see things from a different direction. His passion was radiating. He'll be missed.
Here is a beautiful message from Nicholas H.Tollervey.
/r/Python
https://redd.it/1iern75
ntoll.org
My friend Michael
My dear friend Michael passed away this weekend.
I want to begin by expressing my deepest sorrow and condolences to his family.
Michael and I shared many adventures together, often with our families i
I want to begin by expressing my deepest sorrow and condolences to his family.
Michael and I shared many adventures together, often with our families i
Saturday Daily Thread: Resource Request and Sharing! Daily Thread
# Weekly Thread: Resource Request and Sharing 📚
Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!
## How it Works:
1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.
## Guidelines:
Please include the type of resource (e.g., book, video, article) and the topic.
Always be respectful when reviewing someone else's shared resource.
## Example Shares:
1. Book: "Fluent Python" \- Great for understanding Pythonic idioms.
2. Video: Python Data Structures \- Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators \- A deep dive into decorators.
## Example Requests:
1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.
Share the knowledge, enrich the community. Happy learning! 🌟
/r/Python
https://redd.it/1ietb0n
# Weekly Thread: Resource Request and Sharing 📚
Stumbled upon a useful Python resource? Or are you looking for a guide on a specific topic? Welcome to the Resource Request and Sharing thread!
## How it Works:
1. Request: Can't find a resource on a particular topic? Ask here!
2. Share: Found something useful? Share it with the community.
3. Review: Give or get opinions on Python resources you've used.
## Guidelines:
Please include the type of resource (e.g., book, video, article) and the topic.
Always be respectful when reviewing someone else's shared resource.
## Example Shares:
1. Book: "Fluent Python" \- Great for understanding Pythonic idioms.
2. Video: Python Data Structures \- Excellent overview of Python's built-in data structures.
3. Article: Understanding Python Decorators \- A deep dive into decorators.
## Example Requests:
1. Looking for: Video tutorials on web scraping with Python.
2. Need: Book recommendations for Python machine learning.
Share the knowledge, enrich the community. Happy learning! 🌟
/r/Python
https://redd.it/1ietb0n
YouTube
Data Structures and Algorithms in Python - Full Course for Beginners
A beginner-friendly introduction to common data structures (linked lists, stacks, queues, graphs) and algorithms (search, sorting, recursion, dynamic programming) in Python. This course will help you prepare for coding interviews and assessments.
🔗 Course…
🔗 Course…
I made LLMs work like scikit-learn
Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results.
High-Level Concept Flow
Installation:
Learning a New “Skill” from Sample Data
Like a fit/predict pattern from scikit-learn, you can quickly “learn” a custom skill from minimal (or no!) data. Below, we’ll create a skill that evaluates the likelihood of buying a product from user comments on social media posts, returning a score (1–100) and a short reason. We’ll use a small dataset of comments and instruct the LLM to transform each comment according to our custom specification.
>from flashlearn.skills.learn_skill import LearnSkill
>from flashlearn.client import OpenAI
>
>\# Instantiate your pipeline “estimator” or “transformer”, similar to a scikit-learn model
>learner = LearnSkill(model_name="gpt-4o-mini", client=OpenAI())
>data = [
>{"comment_text": "I love this product, it's everything I wanted!"},
>{"comment_text": "Not impressed... wouldn't consider buying this."},
>\# ...
>\]
>
>\# Provide instructions and
/r/Python
https://redd.it/1iegszm
Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results.
High-Level Concept Flow
Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream StepsInstallation:
pip install flashlearnLearning a New “Skill” from Sample Data
Like a fit/predict pattern from scikit-learn, you can quickly “learn” a custom skill from minimal (or no!) data. Below, we’ll create a skill that evaluates the likelihood of buying a product from user comments on social media posts, returning a score (1–100) and a short reason. We’ll use a small dataset of comments and instruct the LLM to transform each comment according to our custom specification.
>from flashlearn.skills.learn_skill import LearnSkill
>from flashlearn.client import OpenAI
>
>\# Instantiate your pipeline “estimator” or “transformer”, similar to a scikit-learn model
>learner = LearnSkill(model_name="gpt-4o-mini", client=OpenAI())
>data = [
>{"comment_text": "I love this product, it's everything I wanted!"},
>{"comment_text": "Not impressed... wouldn't consider buying this."},
>\# ...
>\]
>
>\# Provide instructions and
/r/Python
https://redd.it/1iegszm
Reddit
From the Python community on Reddit: I made LLMs work like scikit-learn
Explore this post and more from the Python community
Start project with wagtail? or integrate wagtail into existing django app?
I'm transitioning from the JavaScript world and planning a new app with Django. I need admin users to frequently insert content using a CMS like Wagtail. The app will include several marketing pages, an e-commerce checkout, and a delivery system for digital content. What’s the best way to structure this with Wagtail?
/r/django
https://redd.it/1ierzj2
I'm transitioning from the JavaScript world and planning a new app with Django. I need admin users to frequently insert content using a CMS like Wagtail. The app will include several marketing pages, an e-commerce checkout, and a delivery system for digital content. What’s the best way to structure this with Wagtail?
/r/django
https://redd.it/1ierzj2
Reddit
From the django community on Reddit
Explore this post and more from the django community
Running a Python flask app 24/7 on a cloud server
I have a Python flask web application that takes the data from a shopify webhook and appends rows to Google sheet. Since it is a webhook, I want it to be running 24/7 as customers can place orders round the clock. I have tested it on my local machine and the code works fine but since then, I have tested it on Render, Railway.app and Pythonanywhere and none of those servers are working with the webhook data or are running 24/7. How can I run the app 24/7 on a cloud server?
The code runs fine on Railway.app and Render and authenticates the OAuth but when the webhooks is tested, it does not generate any response and moreover the app stops running after a while.
I tested the same app on my local machine using ngrok and every time a new order is placed, it does generate the expected results (adds rows to Google sheet).
/r/flask
https://redd.it/1iev22o
I have a Python flask web application that takes the data from a shopify webhook and appends rows to Google sheet. Since it is a webhook, I want it to be running 24/7 as customers can place orders round the clock. I have tested it on my local machine and the code works fine but since then, I have tested it on Render, Railway.app and Pythonanywhere and none of those servers are working with the webhook data or are running 24/7. How can I run the app 24/7 on a cloud server?
The code runs fine on Railway.app and Render and authenticates the OAuth but when the webhooks is tested, it does not generate any response and moreover the app stops running after a while.
I tested the same app on my local machine using ngrok and every time a new order is placed, it does generate the expected results (adds rows to Google sheet).
/r/flask
https://redd.it/1iev22o
Railway
Railway is an infrastructure platform where you can provision infrastructure, develop with that infrastructure locally, and then deploy to the cloud.
Tutorials with good frontend
What are some good Flask tutorials that actually have good frontend UI?
I'm wanting to follow along with a tutorial that gets more in depth into an actual real use case instead of just a simple form
/r/flask
https://redd.it/1ie1kw4
What are some good Flask tutorials that actually have good frontend UI?
I'm wanting to follow along with a tutorial that gets more in depth into an actual real use case instead of just a simple form
/r/flask
https://redd.it/1ie1kw4
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
My First Python code on NFL Data Visualization
I’m excited to share with you my first Python code: **Football Tracking Data Visualization**. As someone passionate about both programming and sports—especially the NFL—this project has allowed me to combine these interests and dive into real-time data analysis and visualization.
# 🔍 What is the project about?
This repository uses football player tracking data, collected through the NFL Big Data Bowl, to create interactive visualizations. The project allows us to see player movements during plays, interpret stats, and observe player interactions on the field. 🎯
# 🛠 What technologies and tools did I use?
* **Python**: The core of the project, used for data processing and creating visualizations.
* **Pandas and NumPy**: For data manipulation and analysis.
* **Matplotlib and Seaborn**: For creating detailed plots.
* **Plotly**: For interactive visualizations.
* **Jupyter Notebooks**: As the development environment.
# 📊 What can you find in this repository?
1. **Play visualizations on the field**: Watch players move on the field in real-time!
2. **Interactive statistics**: Analysis of plays and key player stats.
3. **Team performance**: Insight into team strategies based on the data from each game.
# [https://github.com/Sir-Winlix/Football-Tracking-Visualization](https://github.com/Sir-Winlix/Football-Tracking-Visualization)
/r/Python
https://redd.it/1ieq2sn
I’m excited to share with you my first Python code: **Football Tracking Data Visualization**. As someone passionate about both programming and sports—especially the NFL—this project has allowed me to combine these interests and dive into real-time data analysis and visualization.
# 🔍 What is the project about?
This repository uses football player tracking data, collected through the NFL Big Data Bowl, to create interactive visualizations. The project allows us to see player movements during plays, interpret stats, and observe player interactions on the field. 🎯
# 🛠 What technologies and tools did I use?
* **Python**: The core of the project, used for data processing and creating visualizations.
* **Pandas and NumPy**: For data manipulation and analysis.
* **Matplotlib and Seaborn**: For creating detailed plots.
* **Plotly**: For interactive visualizations.
* **Jupyter Notebooks**: As the development environment.
# 📊 What can you find in this repository?
1. **Play visualizations on the field**: Watch players move on the field in real-time!
2. **Interactive statistics**: Analysis of plays and key player stats.
3. **Team performance**: Insight into team strategies based on the data from each game.
# [https://github.com/Sir-Winlix/Football-Tracking-Visualization](https://github.com/Sir-Winlix/Football-Tracking-Visualization)
/r/Python
https://redd.it/1ieq2sn
GitHub
GitHub - Sir-Winlix/Football-Tracking-Visualization: Football Tracking Visualization es una herramienta interactiva que visualiza…
Football Tracking Visualization es una herramienta interactiva que visualiza los movimientos de los jugadores y las jugadas en la NFL en tiempo real. Utiliza datos de seguimiento y estadísticas de ...
D Monthly Who's Hiring and Who wants to be Hired?
For Job Postings please use this template
>Hiring: [Location\], Salary:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] and [Brief overview, what you're looking for\]
For Those looking for jobs please use this template
>Want to be Hired: [Location\], Salary Expectation:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] Resume: [Link to resume\] and [Brief overview, what you're looking for\]
​
Please remember that this community is geared towards those with experience.
/r/MachineLearning
https://redd.it/1ie5qoh
For Job Postings please use this template
>Hiring: [Location\], Salary:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] and [Brief overview, what you're looking for\]
For Those looking for jobs please use this template
>Want to be Hired: [Location\], Salary Expectation:[\], [Remote | Relocation\], [Full Time | Contract | Part Time\] Resume: [Link to resume\] and [Brief overview, what you're looking for\]
​
Please remember that this community is geared towards those with experience.
/r/MachineLearning
https://redd.it/1ie5qoh
Reddit
From the MachineLearning community on Reddit
Explore this post and more from the MachineLearning community
Introducing Kreuzberg: A Simple, Modern Library for PDF and Document Text Extraction in Python
Hey folks! I recently created Kreuzberg, a Python library that makes text extraction from PDFs and other documents simple and hassle-free.
I built this while working on a RAG system and found that existing solutions either required expensive API calls were overly complex for my text extraction needs, or involved large docker images and complex deployments.
Key Features:
- Modern Python with async support and type hints
- Extract text from PDFs (both searchable and scanned), images, and office documents
- Local processing - no API calls needed
- Lightweight - no GPU requirements
- Extensive error handling for easy debugging
## Target Audience:
This library is perfect for developers working on RAG systems, document processing pipelines, or anyone needing reliable text extraction without the complexity of commercial APIs. It's designed to be simple to use while handling a wide range of document formats.
```python
from kreuzberg import extract_bytes, extract_file
# Extract text from a PDF file
async def extract_pdf():
result = await extract_file("document.pdf")
print(f"Extracted text: {result.content}")
print(f"Output mime type: {result.mime_type}")
# Extract text from an image
async def extract_image():
result = await extract_file("scan.png")
print(f"Extracted text: {result.content}")
# Or extract from a byte string
# Extract text from PDF
/r/Python
https://redd.it/1if3axy
Hey folks! I recently created Kreuzberg, a Python library that makes text extraction from PDFs and other documents simple and hassle-free.
I built this while working on a RAG system and found that existing solutions either required expensive API calls were overly complex for my text extraction needs, or involved large docker images and complex deployments.
Key Features:
- Modern Python with async support and type hints
- Extract text from PDFs (both searchable and scanned), images, and office documents
- Local processing - no API calls needed
- Lightweight - no GPU requirements
- Extensive error handling for easy debugging
## Target Audience:
This library is perfect for developers working on RAG systems, document processing pipelines, or anyone needing reliable text extraction without the complexity of commercial APIs. It's designed to be simple to use while handling a wide range of document formats.
```python
from kreuzberg import extract_bytes, extract_file
# Extract text from a PDF file
async def extract_pdf():
result = await extract_file("document.pdf")
print(f"Extracted text: {result.content}")
print(f"Output mime type: {result.mime_type}")
# Extract text from an image
async def extract_image():
result = await extract_file("scan.png")
print(f"Extracted text: {result.content}")
# Or extract from a byte string
# Extract text from PDF
/r/Python
https://redd.it/1if3axy
Reddit
From the Python community on Reddit: Introducing Kreuzberg: A Simple, Modern Library for PDF and Document Text Extraction in Python
Explore this post and more from the Python community
Add Login and Logout in Django
In this post, we’re setting up Login & Logout functionality, building forms, and using Django authentication & CSRF tokens.
Blog Link : [Add Login and Logout in Django – Simple Guide](https://django-learning.hashnode.dev/add-login-and-logout-in-django-simple-guide)
In the last blog, we built a Django template.
Previous Blog Link : Django Templates Explained: A Guide to Dynamic Web Pages
Give it a read and let me know your thoughts in the comments! 💬 Your feedback helps me make these guides even better! 😊
/r/django
https://redd.it/1if2uam
In this post, we’re setting up Login & Logout functionality, building forms, and using Django authentication & CSRF tokens.
Blog Link : [Add Login and Logout in Django – Simple Guide](https://django-learning.hashnode.dev/add-login-and-logout-in-django-simple-guide)
In the last blog, we built a Django template.
Previous Blog Link : Django Templates Explained: A Guide to Dynamic Web Pages
Give it a read and let me know your thoughts in the comments! 💬 Your feedback helps me make these guides even better! 😊
/r/django
https://redd.it/1if2uam
Django
Add Login and Logout in Django – Simple Guide
Learn how to add login and logout functionality in Django with easy steps.
Suggest me free Flask course or tutorial
I've learned Python fundamentals and frontend. Now I want to start learning Flask for backend.
I've tried Miguel Grinberg's course. But I failed to understand.
Can you guys suggest me some other good Flask courses or tutorials that start from beginner topics and cover advanced topics?
/r/flask
https://redd.it/1if5x86
I've learned Python fundamentals and frontend. Now I want to start learning Flask for backend.
I've tried Miguel Grinberg's course. But I failed to understand.
Can you guys suggest me some other good Flask courses or tutorials that start from beginner topics and cover advanced topics?
/r/flask
https://redd.it/1if5x86
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Automation Framework for Python
What My Project Does
Basically I was making a lot of automations for my clients and developed a toolset that i am using for most of my automation projects.
It is on Python + Playwright (for ui browser automation) + requests (covered with base modules for API automation) + DB module. I believe it maybe useful for someone of you, and I’ll appreciate your stars/comments/pull-requests:
https://github.com/eshut/Inject-Framework
I understand it may be very «specialized» thing for someone, but if you need to automate something like website or api - it makes the solution structured and fast.
Feel free to ask your questions.
Target Audience
Anyone who is looking for software automation on Python for websites or some API
Comparison
I believe there are similar libraries on Typescript as codecept and maybe something similar on python , but usually it is project specific
/r/Python
https://redd.it/1if6nk0
What My Project Does
Basically I was making a lot of automations for my clients and developed a toolset that i am using for most of my automation projects.
It is on Python + Playwright (for ui browser automation) + requests (covered with base modules for API automation) + DB module. I believe it maybe useful for someone of you, and I’ll appreciate your stars/comments/pull-requests:
https://github.com/eshut/Inject-Framework
I understand it may be very «specialized» thing for someone, but if you need to automate something like website or api - it makes the solution structured and fast.
Feel free to ask your questions.
Target Audience
Anyone who is looking for software automation on Python for websites or some API
Comparison
I believe there are similar libraries on Typescript as codecept and maybe something similar on python , but usually it is project specific
/r/Python
https://redd.it/1if6nk0
GitHub
GitHub - eshut/Inject-Framework: [Playwright] Autotests / Automation Framework
[Playwright] Autotests / Automation Framework . Contribute to eshut/Inject-Framework development by creating an account on GitHub.
Customize Inline Model Position in Django Admin
Hello everyone!
A few days ago, I ran into an issue while working on one of my projects—a university course selection system. The problem was how to change the placement of inline models.
By default, Django places them at the bottom of the page, but I wanted to position them wherever I needed.
After extensive searching and using AI tools, I couldn’t find a solution. So, I decided to figure it out myself—and finally, I found the answer!
I talked about it in detail on my YouTube channel and shared the final solution in a tutorial.
Hope you find it helpful!
Watch the video here :
https://youtu.be/utUuwUj67oc?si=3MV74_pDHL6PoEkp
/r/django
https://redd.it/1ifhjwj
Hello everyone!
A few days ago, I ran into an issue while working on one of my projects—a university course selection system. The problem was how to change the placement of inline models.
By default, Django places them at the bottom of the page, but I wanted to position them wherever I needed.
After extensive searching and using AI tools, I couldn’t find a solution. So, I decided to figure it out myself—and finally, I found the answer!
I talked about it in detail on my YouTube channel and shared the final solution in a tutorial.
Hope you find it helpful!
Watch the video here :
https://youtu.be/utUuwUj67oc?si=3MV74_pDHL6PoEkp
/r/django
https://redd.it/1ifhjwj
YouTube
Customize Inline Model Position in Django Admin
In this video, I’ll show you how to move the Inline Model in Django Admin to any position you want! 🚀 By default, Django places it at the bottom, but I’ll teach you how to override the template and position it wherever you like.
📌 Topics Covered:
✅ Overriding…
📌 Topics Covered:
✅ Overriding…
News Tulu 3 model performing better than 4o and Deepseek?
Has anyone used this model released by the Allen Institute for AI on Thursday? It seems to outperform 4o and DeepSeek in a lot of places, but for some reason there's been little to no coverage. Thoughts?
https://www.marktechpost.com/2025/01/31/the-allen-institute-for-ai-ai2-releases-tulu-3-405b-scaling-open-weight-post-training-with-reinforcement-learning-from-verifiable-rewards-rlvr-to-surpass-deepseek-v3-and-gpt-4o-in-key-benchmarks/
/r/MachineLearning
https://redd.it/1ifetmm
Has anyone used this model released by the Allen Institute for AI on Thursday? It seems to outperform 4o and DeepSeek in a lot of places, but for some reason there's been little to no coverage. Thoughts?
https://www.marktechpost.com/2025/01/31/the-allen-institute-for-ai-ai2-releases-tulu-3-405b-scaling-open-weight-post-training-with-reinforcement-learning-from-verifiable-rewards-rlvr-to-surpass-deepseek-v3-and-gpt-4o-in-key-benchmarks/
/r/MachineLearning
https://redd.it/1ifetmm
MarkTechPost
The Allen Institute for AI (AI2) Releases Tülu 3 405B: Scaling Open-Weight Post-Training with Reinforcement Learning from Verifiable…
Post-training techniques, such as instruction tuning and reinforcement learning from human feedback, have become essential for refining language models. But, open-source approaches often fall behind proprietary models due to a lack of transparency in training…
Problem with connection with server
I'm creating a flask app following the mega-tutorial of Miguel. I'm trying to send an email to me but i receive this error:
ConnectionRefusedError: [WinError 10061\] No connection could be made because the target machine actively refused it
How can i resolve it? I think because the client port is different from server port.
/r/flask
https://redd.it/1if5erj
I'm creating a flask app following the mega-tutorial of Miguel. I'm trying to send an email to me but i receive this error:
ConnectionRefusedError: [WinError 10061\] No connection could be made because the target machine actively refused it
How can i resolve it? I think because the client port is different from server port.
/r/flask
https://redd.it/1if5erj
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
htmx + Django + Cursor AI is a legit dream.
I am legit blown away. I've been using Cursor lately and I don't think I can go back anymore. Especially when it comes to fullstack development. For those of you not using AI to level up your development I would highly recommend starting.
backstory - I wanted to add a public playground section for my application which included a backend, frontend, and some internal integrations with my existing stuff and about 30 new files and 8k new lines of code later its working just how I want. The best part is it took me 1 day and just prompted the entire thing. Didn't write one bit of html for it. I've been in software engineering for 8 years so I've seen trends come and go but at this point I'm 100% sold on this.
This thing handles django templates with htmx so unbelievably well that I'm convinced anyone can build something very impactful in very little time.
Here's a video of the whole thing https://app.arcade.software/share/4BHHh6THSWxGWCzRBwTd
I wanted
1. To share with you all that this combo, whatever new acronym people end up calling it, is awesome. Big win for the SSR community.
2. Should I live code a session or
/r/django
https://redd.it/1ifnpjz
I am legit blown away. I've been using Cursor lately and I don't think I can go back anymore. Especially when it comes to fullstack development. For those of you not using AI to level up your development I would highly recommend starting.
backstory - I wanted to add a public playground section for my application which included a backend, frontend, and some internal integrations with my existing stuff and about 30 new files and 8k new lines of code later its working just how I want. The best part is it took me 1 day and just prompted the entire thing. Didn't write one bit of html for it. I've been in software engineering for 8 years so I've seen trends come and go but at this point I'm 100% sold on this.
This thing handles django templates with htmx so unbelievably well that I'm convinced anyone can build something very impactful in very little time.
Here's a video of the whole thing https://app.arcade.software/share/4BHHh6THSWxGWCzRBwTd
I wanted
1. To share with you all that this combo, whatever new acronym people end up calling it, is awesome. Big win for the SSR community.
2. Should I live code a session or
/r/django
https://redd.it/1ifnpjz
Arcade
KitchenAI
Parameters for each Django Model Field
I'm really new to django and I cannot find an itemized list of the optional parameters available for each model field. There don't seem to be complete listings in the model fields reference. Anyone know where I can find this information? It's proving much harder than I imagined.
/r/djangolearning
https://redd.it/1ifg7yp
I'm really new to django and I cannot find an itemized list of the optional parameters available for each model field. There don't seem to be complete listings in the model fields reference. Anyone know where I can find this information? It's proving much harder than I imagined.
/r/djangolearning
https://redd.it/1ifg7yp
Reddit
From the djangolearning community on Reddit
Explore this post and more from the djangolearning community