A write-up of what's new in pip 24.2 — or why legacy editable installs are deprecated
Hi all,
**Link to post.**
Last time I was here, I was speaking with my maintainer of black hat. I no longer wear that hat. Earlier this year, I've joined the pip triage team.
About a month ago, we released pip 24.2. This release included neat improvements and one important deprecation (the deprecation of legacy `setup.py develop` based editable installs. setup.py itself is not deprecated). While the changelog is an accurate summary of the changes, the changelog is often hard to parse if you aren't already experienced in packaging and it simply lacks a lot of detail, too. So, I thought a post discussing the changes in detail would be useful and interesting. I tried my best to strike a balance between including the technical details where I could, but also explaining things in a way where you didn't have to be a tenured packaging expert to understand everything 🙂
This isn't anything official. pip doesn't have a blog, and I'm linking to my personal site here, but I do think it's valuable to have more detailed communications for a foundational piece of the packaging ecosystem. I make no promises that this will continue, but I'd love to write future pieces if I can.
Please
/r/Python
https://redd.it/1f4zvaw
Hi all,
**Link to post.**
Last time I was here, I was speaking with my maintainer of black hat. I no longer wear that hat. Earlier this year, I've joined the pip triage team.
About a month ago, we released pip 24.2. This release included neat improvements and one important deprecation (the deprecation of legacy `setup.py develop` based editable installs. setup.py itself is not deprecated). While the changelog is an accurate summary of the changes, the changelog is often hard to parse if you aren't already experienced in packaging and it simply lacks a lot of detail, too. So, I thought a post discussing the changes in detail would be useful and interesting. I tried my best to strike a balance between including the technical details where I could, but also explaining things in a way where you didn't have to be a tenured packaging expert to understand everything 🙂
This isn't anything official. pip doesn't have a blog, and I'm linking to my personal site here, but I do think it's valuable to have more detailed communications for a foundational piece of the packaging ecosystem. I make no promises that this will continue, but I'd love to write future pieces if I can.
Please
/r/Python
https://redd.it/1f4zvaw
Richard Si
What's new in pip 24.2 — or why legacy editable installs are deprecated
In version 24.2, pip learns to use system certificates by default, receives a handful of optimizations, and deprecates legacy (setup.py develop) editable installations.
Interpol Wanted Persons Data Downloader with an Interactive Dashboard
# What My Project Does
Interpol Red-DL is a project designed to retrieve, save and display data published by Interpol on wanted persons.
The project creates a copy of the data of wanted persons to keep the data, even if deleted by Interpol, and it also extends the features of Interpol website by adding a data visualization dashboard on top.
Github Repo
Demo Video
Demo Website*
*I have a Streamlit app deployed temporarily, using a snapshot of the database from the last complete run few weeks ago.
# Target Audience
Those who are curious about reverse-engineering APIs or data scraping. The README contains a short write-up about the challenges faced when working with the API. The project also gives some ideas for anyone into data visualization, showing how you can extend existing websites to create data dashboards with easy prototyping libraries like Streamlit.
# Comparison
Most similar open-source projects scraping Interpol's data are either outdated, likely because of stricter API checks, or they use Selenium for data extraction, which feels like an overkill.
I worked on this project as a challenge during my internship at an AI-based company. Following are some of my opinions:
Is Interpol preventing bots?
I’ve always enjoyed messing around with APIs, but this one was
/r/Python
https://redd.it/1f57h6m
# What My Project Does
Interpol Red-DL is a project designed to retrieve, save and display data published by Interpol on wanted persons.
The project creates a copy of the data of wanted persons to keep the data, even if deleted by Interpol, and it also extends the features of Interpol website by adding a data visualization dashboard on top.
Github Repo
Demo Video
Demo Website*
*I have a Streamlit app deployed temporarily, using a snapshot of the database from the last complete run few weeks ago.
# Target Audience
Those who are curious about reverse-engineering APIs or data scraping. The README contains a short write-up about the challenges faced when working with the API. The project also gives some ideas for anyone into data visualization, showing how you can extend existing websites to create data dashboards with easy prototyping libraries like Streamlit.
# Comparison
Most similar open-source projects scraping Interpol's data are either outdated, likely because of stricter API checks, or they use Selenium for data extraction, which feels like an overkill.
I worked on this project as a challenge during my internship at an AI-based company. Following are some of my opinions:
Is Interpol preventing bots?
I’ve always enjoyed messing around with APIs, but this one was
/r/Python
https://redd.it/1f57h6m
www.interpol.int
View Red Notices
View and search public Red Notices for wanted persons
Automate Your Reddit Saved Post Backups with Context Using Reddit Stash
Hey Everyone,
**What My Project Does**
A while back, I realized that many of the posts I had saved on Reddit for future reference were disappearing. To solve this problem, I developed a Python script called **Reddit Stash**. This tool automatically saves your Reddit saved posts and comments, along with your own posts and comments, and includes the necessary context (e.g., associated comments or parent posts). The script runs daily at around 00:00 CET using GitHub Actions, ensuring your data is backed up without any manual intervention on Dropbox. The files are saved in Markdown format, making them easy to read and reference later.
**Target Audience**
**Reddit Stash** is ideal for users who want to preserve their saved Reddit content without losing context, such as those interested in:
* **Personal Knowledge Management:** Users who save Reddit posts for later reference and want to ensure they keep the full context for future use.
* **Developers/Researchers:** Those planning to use Reddit content in local Retrieval-Augmented Generation (RAG) systems or similar projects.
* **Casual Reddit Users:** Anyone who doesn’t want to worry about manually backing up their saved content.
Whether you're a serious developer or a casual Reddit user, this tool can save you time and effort.
**Comparison**
While there are existing tools
/r/Python
https://redd.it/1f5n53a
Hey Everyone,
**What My Project Does**
A while back, I realized that many of the posts I had saved on Reddit for future reference were disappearing. To solve this problem, I developed a Python script called **Reddit Stash**. This tool automatically saves your Reddit saved posts and comments, along with your own posts and comments, and includes the necessary context (e.g., associated comments or parent posts). The script runs daily at around 00:00 CET using GitHub Actions, ensuring your data is backed up without any manual intervention on Dropbox. The files are saved in Markdown format, making them easy to read and reference later.
**Target Audience**
**Reddit Stash** is ideal for users who want to preserve their saved Reddit content without losing context, such as those interested in:
* **Personal Knowledge Management:** Users who save Reddit posts for later reference and want to ensure they keep the full context for future use.
* **Developers/Researchers:** Those planning to use Reddit content in local Retrieval-Augmented Generation (RAG) systems or similar projects.
* **Casual Reddit Users:** Anyone who doesn’t want to worry about manually backing up their saved content.
Whether you're a serious developer or a casual Reddit user, this tool can save you time and effort.
**Comparison**
While there are existing tools
/r/Python
https://redd.it/1f5n53a
Reddit
From the Python community on Reddit: Automate Your Reddit Saved Post Backups with Context Using Reddit Stash
Explore this post and more from the Python community
Build plugins in marimo with anywidget
Blog post: https://marimo.io/blog/anywidget
marimo is now standardizing on anywidget as the third-party plugin API. With anywidget, users can create custom widgets to be used directly in marimo and hook into marimo's reactive framework.
Context:
marimo is a next-generation reactive notebook for Python and SQL.
anywidget provides a single interface for developing embeddable widgets inside other applications, such as Panel, Jupyter, and, of course, marimo. anywidget also comes with an excellent developer experience in creating these widgets with either vanilla JavaScript or popular frameworks like React and Svelte.
/r/Python
https://redd.it/1f56lj9
Blog post: https://marimo.io/blog/anywidget
marimo is now standardizing on anywidget as the third-party plugin API. With anywidget, users can create custom widgets to be used directly in marimo and hook into marimo's reactive framework.
Context:
marimo is a next-generation reactive notebook for Python and SQL.
anywidget provides a single interface for developing embeddable widgets inside other applications, such as Panel, Jupyter, and, of course, marimo. anywidget also comes with an excellent developer experience in creating these widgets with either vanilla JavaScript or popular frameworks like React and Svelte.
/r/Python
https://redd.it/1f56lj9
marimo.io
Build plugins with anywidget!
Standardizing the plugin API for marimo
Is My CI Pipeline for my Python Library Overkill?
So this is what my GitHub insights are looking like:
|Date|Clones|Unique Clones|
|:-|:-|:-|
|29 Aug|1376|16|
|30 Aug|1326|9|
The majority of this is just my CI pipeline.
This is a snippet of the strategy section of the CI:
strategy:
matrix:
python-version: "3.8", "3.9", "3.10", "3.11", "3.12"
django-version: 32, 42, 51
db: postgres, mysql, sqlite
broker: rabbitmq, kafka
exclude:
# Django 5.1 does not support Python <3.10
- python-version: "3.8"
django-version: 51
- python-version: "3.9"
/r/Python
https://redd.it/1f5qlui
So this is what my GitHub insights are looking like:
|Date|Clones|Unique Clones|
|:-|:-|:-|
|29 Aug|1376|16|
|30 Aug|1326|9|
The majority of this is just my CI pipeline.
This is a snippet of the strategy section of the CI:
strategy:
matrix:
python-version: "3.8", "3.9", "3.10", "3.11", "3.12"
django-version: 32, 42, 51
db: postgres, mysql, sqlite
broker: rabbitmq, kafka
exclude:
# Django 5.1 does not support Python <3.10
- python-version: "3.8"
django-version: 51
- python-version: "3.9"
/r/Python
https://redd.it/1f5qlui
Reddit
From the Python community on Reddit: Is My CI Pipeline for my Python Library Overkill?
Explore this post and more from the Python community
Modal button not working when following this Flask tutorial. Please help!
I'm following a Flask tutorial on YouTube and have hit a point where I can't get the code to work. The button doesn't pop up when I click on it. Any ideas? I have tried switching "data-toggle" to "data-bs-toggle" and likewise for "dismiss" and "target" (in line with bootstrap 5) but it doesn't work. The button doesn't do anything at all when I click on it.
Here's the button:
<button type="button" class="btn btn-danger btn-sm m-1" data-toggle="modal" data-target="#deleteModal">Delete</button>
And here's the modal:
<div class="modal fade" id="deleteModal" tabindex="-1" role="dialog" aria-labelledby="deleteModalLabel" aria-hidden="true">
<div class="modal-dialog" role="document">
<div class="modal-content">
<div class="modal-header">
<h5 class="modal-title" id="deleteModalLabel">Delete Post?</h5>
<button type="button" class="close" data-dismiss="modal" aria-label="Close">
<span aria-hidden="true">×</span>
</button>
</div>
<div class="modal-footer">
<button type="button" class="btn btn-secondary" data-dismiss="modal">Close</button>
/r/flask
https://redd.it/1f5xqyf
I'm following a Flask tutorial on YouTube and have hit a point where I can't get the code to work. The button doesn't pop up when I click on it. Any ideas? I have tried switching "data-toggle" to "data-bs-toggle" and likewise for "dismiss" and "target" (in line with bootstrap 5) but it doesn't work. The button doesn't do anything at all when I click on it.
Here's the button:
<button type="button" class="btn btn-danger btn-sm m-1" data-toggle="modal" data-target="#deleteModal">Delete</button>
And here's the modal:
<div class="modal fade" id="deleteModal" tabindex="-1" role="dialog" aria-labelledby="deleteModalLabel" aria-hidden="true">
<div class="modal-dialog" role="document">
<div class="modal-content">
<div class="modal-header">
<h5 class="modal-title" id="deleteModalLabel">Delete Post?</h5>
<button type="button" class="close" data-dismiss="modal" aria-label="Close">
<span aria-hidden="true">×</span>
</button>
</div>
<div class="modal-footer">
<button type="button" class="btn btn-secondary" data-dismiss="modal">Close</button>
/r/flask
https://redd.it/1f5xqyf
YouTube
Flask Tutorials
Python Flask Tutorials. In this series, we will be learning how to build a full-feature Flask application for scratch. We will learn how to get started with ...
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/1f617a7
# 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/1f617a7
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Taming the beast that is the Django ORM - An introduction
https://www.davidhang.com/blog/2024-09-01-taming-the-django-orm/
/r/django
https://redd.it/1f63g68
https://www.davidhang.com/blog/2024-09-01-taming-the-django-orm/
/r/django
https://redd.it/1f63g68
Davidhang
Taming the beast that is the Django ORM - An introduction
The Django ORM, how it compares to raw SQL and gotchas that you should be aware of when using it
UPD with code: help, flask server’s link doesn’t show anything. Everytime I try to open it, it shows ‘not found’.
/r/flask
https://redd.it/1f6mqnp
/r/flask
https://redd.it/1f6mqnp
Hosting a Django website that supports a few thousand requests per minute
We're working on a site for an event and we're using a template that uses Django, though none of us is an expert in it. At the beginning of the event we expect a few thousand requests per minute, especially in a mini game that uses post requests. The template comes with files asgi.py and wsgi.py to run it with gunicorn, and as I understand asgi is async so it should be better to control concurrent connections.
So far we tried hosting it on Heroku using a postgres database and trying up to 25 standard dynos, which I feel like it's a lot, and with a load of 100 virtual users testing it with k6 we still got response times of around 2 seconds for those post requests. We also tried pythonanywhere using the default sqlite database and the results were worse.
We're not sure where the bottleneck is exactly. We thought it was a matter of the CPUs not keeping up, but we also tried running it on my main PC and we were also getting times of about 2 seconds with 100 VUs in k6, and the CPU was just running at 50% (though on that one we didn't
/r/django
https://redd.it/1f6k3rk
We're working on a site for an event and we're using a template that uses Django, though none of us is an expert in it. At the beginning of the event we expect a few thousand requests per minute, especially in a mini game that uses post requests. The template comes with files asgi.py and wsgi.py to run it with gunicorn, and as I understand asgi is async so it should be better to control concurrent connections.
So far we tried hosting it on Heroku using a postgres database and trying up to 25 standard dynos, which I feel like it's a lot, and with a load of 100 virtual users testing it with k6 we still got response times of around 2 seconds for those post requests. We also tried pythonanywhere using the default sqlite database and the results were worse.
We're not sure where the bottleneck is exactly. We thought it was a matter of the CPUs not keeping up, but we also tried running it on my main PC and we were also getting times of about 2 seconds with 100 VUs in k6, and the CPU was just running at 50% (though on that one we didn't
/r/django
https://redd.it/1f6k3rk
Reddit
From the django community on Reddit
Explore this post and more from the django community
Developing flask backend
Hey guys, hope y'all are doing well.
I'm developing a flask backend to run a segformer and an stable diffusion model. I got both of them off of hugging face. I tested everything out in Jupiter and they work fine.
My tech stack is currently a next/reactjs frontend, SupaBase for auth etc, stripe for payments and flask as an API to provide the key functionality of the AI.
I'm getting started with the flask backend, and although I've used it in the past, this is the first time I'm using it for a production backend. So, logically, my questions are:
-Do I need to do something for multi threading so that it can support multiple users' requests at the same time?
-Do I need to add something for token verification etc.
-Which remote server service provides good GPUs for the segformer and stable diffusion to run properly?
-Any other key things to look out for to avoid rookie mistakes would be greatly appreciated.
I already installed waitress for the deployment etc and I was wondering whether I should dockerize it too after it's developed.
/r/flask
https://redd.it/1f6nwxt
Hey guys, hope y'all are doing well.
I'm developing a flask backend to run a segformer and an stable diffusion model. I got both of them off of hugging face. I tested everything out in Jupiter and they work fine.
My tech stack is currently a next/reactjs frontend, SupaBase for auth etc, stripe for payments and flask as an API to provide the key functionality of the AI.
I'm getting started with the flask backend, and although I've used it in the past, this is the first time I'm using it for a production backend. So, logically, my questions are:
-Do I need to do something for multi threading so that it can support multiple users' requests at the same time?
-Do I need to add something for token verification etc.
-Which remote server service provides good GPUs for the segformer and stable diffusion to run properly?
-Any other key things to look out for to avoid rookie mistakes would be greatly appreciated.
I already installed waitress for the deployment etc and I was wondering whether I should dockerize it too after it's developed.
/r/flask
https://redd.it/1f6nwxt
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Monday Daily Thread: Project ideas!
# Weekly Thread: Project Ideas 💡
Welcome to our weekly Project Ideas thread! Whether you're a newbie looking for a first project or an expert seeking a new challenge, this is the place for you.
## How it Works:
1. **Suggest a Project**: Comment your project idea—be it beginner-friendly or advanced.
2. **Build & Share**: If you complete a project, reply to the original comment, share your experience, and attach your source code.
3. **Explore**: Looking for ideas? Check out Al Sweigart's ["The Big Book of Small Python Projects"](https://www.amazon.com/Big-Book-Small-Python-Programming/dp/1718501242) for inspiration.
## Guidelines:
* Clearly state the difficulty level.
* Provide a brief description and, if possible, outline the tech stack.
* Feel free to link to tutorials or resources that might help.
# Example Submissions:
## Project Idea: Chatbot
**Difficulty**: Intermediate
**Tech Stack**: Python, NLP, Flask/FastAPI/Litestar
**Description**: Create a chatbot that can answer FAQs for a website.
**Resources**: [Building a Chatbot with Python](https://www.youtube.com/watch?v=a37BL0stIuM)
# Project Idea: Weather Dashboard
**Difficulty**: Beginner
**Tech Stack**: HTML, CSS, JavaScript, API
**Description**: Build a dashboard that displays real-time weather information using a weather API.
**Resources**: [Weather API Tutorial](https://www.youtube.com/watch?v=9P5MY_2i7K8)
## Project Idea: File Organizer
**Difficulty**: Beginner
**Tech Stack**: Python, File I/O
**Description**: Create a script that organizes files in a directory into sub-folders based on file type.
**Resources**: [Automate the Boring Stuff: Organizing Files](https://automatetheboringstuff.com/2e/chapter9/)
Let's help each other grow. Happy
/r/Python
https://redd.it/1f6syvh
# Weekly Thread: Project Ideas 💡
Welcome to our weekly Project Ideas thread! Whether you're a newbie looking for a first project or an expert seeking a new challenge, this is the place for you.
## How it Works:
1. **Suggest a Project**: Comment your project idea—be it beginner-friendly or advanced.
2. **Build & Share**: If you complete a project, reply to the original comment, share your experience, and attach your source code.
3. **Explore**: Looking for ideas? Check out Al Sweigart's ["The Big Book of Small Python Projects"](https://www.amazon.com/Big-Book-Small-Python-Programming/dp/1718501242) for inspiration.
## Guidelines:
* Clearly state the difficulty level.
* Provide a brief description and, if possible, outline the tech stack.
* Feel free to link to tutorials or resources that might help.
# Example Submissions:
## Project Idea: Chatbot
**Difficulty**: Intermediate
**Tech Stack**: Python, NLP, Flask/FastAPI/Litestar
**Description**: Create a chatbot that can answer FAQs for a website.
**Resources**: [Building a Chatbot with Python](https://www.youtube.com/watch?v=a37BL0stIuM)
# Project Idea: Weather Dashboard
**Difficulty**: Beginner
**Tech Stack**: HTML, CSS, JavaScript, API
**Description**: Build a dashboard that displays real-time weather information using a weather API.
**Resources**: [Weather API Tutorial](https://www.youtube.com/watch?v=9P5MY_2i7K8)
## Project Idea: File Organizer
**Difficulty**: Beginner
**Tech Stack**: Python, File I/O
**Description**: Create a script that organizes files in a directory into sub-folders based on file type.
**Resources**: [Automate the Boring Stuff: Organizing Files](https://automatetheboringstuff.com/2e/chapter9/)
Let's help each other grow. Happy
/r/Python
https://redd.it/1f6syvh
YouTube
Build & Integrate your own custom chatbot to a website (Python & JavaScript)
In this fun project you learn how to build a custom chatbot in Python and then integrate this to a website using Flask and JavaScript.
Starter Files: https://github.com/patrickloeber/chatbot-deployment
Get my Free NumPy Handbook: https://www.python-engi…
Starter Files: https://github.com/patrickloeber/chatbot-deployment
Get my Free NumPy Handbook: https://www.python-engi…
Trending Django packages in August
https://django.wtf/trending/?trending=30
/r/django
https://redd.it/1f6nait
https://django.wtf/trending/?trending=30
/r/django
https://redd.it/1f6nait
django.wtf
Trending Django projects
Trending Django projects in the past 14 days
Table goes blank when page is refreshed...
from flask import Flask, rendertemplate
from getshows import getshows
import pandas as pd
from time import sleep
filename = "Output.csv"
df = pd.readcsv("ListedVenues.csv")
# create an empty dictionary to hold the show information
showstonight = {
"venue": ,
"show": ,
"date": ,
}
# make the API calls to get show information and store it in the showstonight dictionary
for index, row in df.iterrows():
venue, bands, date = getshows(row"Venue
/r/flask
[https://redd.it/1f6spgz
shows is a list of lists being passed to the HTML file used to populate a table. When I run the program and open the page for the first time, the table populates just like it's supposed to. But if I refresh the page in the browser, the table goes blank except for the headers. Why is this happening?from flask import Flask, rendertemplate
from getshows import getshows
import pandas as pd
from time import sleep
filename = "Output.csv"
df = pd.readcsv("ListedVenues.csv")
# create an empty dictionary to hold the show information
showstonight = {
"venue": ,
"show": ,
"date": ,
}
# make the API calls to get show information and store it in the showstonight dictionary
for index, row in df.iterrows():
venue, bands, date = getshows(row"Venue
/r/flask
[https://redd.it/1f6spgz
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Hey, I’m new to Flask and have a question. When I have a flask server running the URL never works and always says ‘Not found’ even though its running. Any help?
/r/flask
https://redd.it/1f6jhh3
/r/flask
https://redd.it/1f6jhh3
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Something really really weird happens...
So my base template is (deleted link to the CSS spreadsheet due to debugging):
https://preview.redd.it/mwpy7k4r29md1.png?width=422&format=png&auto=webp&s=3adfe342a4ff8fc77b3c3eb71ffcc08950e67224
https://preview.redd.it/d0oyqtj139md1.png?width=708&format=png&auto=webp&s=74e061b7cab2a7e49053f33e00d5732f1b5f5dc5
https://preview.redd.it/5awcger739md1.png?width=708&format=png&auto=webp&s=f23df724d6f3c88dfc96ffe69f194febef3e162e
\^ And then I have this template with internal CSS. And when I extend it (pic 2), it doesn't render at all. When I write a text to these divs, they only expand to the point to accomodate that text.
But when I'm not extending it (3), then it renders fine, like it's supposed to render.
Anyone?
/r/django
https://redd.it/1f6n2p2
So my base template is (deleted link to the CSS spreadsheet due to debugging):
https://preview.redd.it/mwpy7k4r29md1.png?width=422&format=png&auto=webp&s=3adfe342a4ff8fc77b3c3eb71ffcc08950e67224
https://preview.redd.it/d0oyqtj139md1.png?width=708&format=png&auto=webp&s=74e061b7cab2a7e49053f33e00d5732f1b5f5dc5
https://preview.redd.it/5awcger739md1.png?width=708&format=png&auto=webp&s=f23df724d6f3c88dfc96ffe69f194febef3e162e
\^ And then I have this template with internal CSS. And when I extend it (pic 2), it doesn't render at all. When I write a text to these divs, they only expand to the point to accomodate that text.
But when I'm not extending it (3), then it renders fine, like it's supposed to render.
Anyone?
/r/django
https://redd.it/1f6n2p2
IAAS or similar cloud computing service to deploy a MVP
Hi everyone, I'm developing a MVP software product and I'm looking for the best option relation between freemium and features. Thanks
/r/django
https://redd.it/1f6t3x0
Hi everyone, I'm developing a MVP software product and I'm looking for the best option relation between freemium and features. Thanks
/r/django
https://redd.it/1f6t3x0
Reddit
From the django community on Reddit
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Django Course or Book
hi guys . i'm new to django framework after i learned the basics of python and DSA , now i need a friendly beginner course or book not just to teach me how to use this feature in django but why i need it and thanks.
/r/django
https://redd.it/1f72eg1
hi guys . i'm new to django framework after i learned the basics of python and DSA , now i need a friendly beginner course or book not just to teach me how to use this feature in django but why i need it and thanks.
/r/django
https://redd.it/1f72eg1
Reddit
From the django community on Reddit
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Looking to Collaborate on Django Projects or Start Something New
Hey everyone!
I’ve completed a few Django projects, including a library system, blog platform, and a face and plate recognition attendance app using RabbitMQ. I’m experienced with Django, Celery, RabbitMQ, and both relational and non-relational databases.
I’m looking to collaborate on new projects to strengthen my GitHub portfolio. If you have any project ideas, need an extra hand on existing projects, or want to brainstorm something cool, let’s connect!
Thanks!
/r/django
https://redd.it/1f748vp
Hey everyone!
I’ve completed a few Django projects, including a library system, blog platform, and a face and plate recognition attendance app using RabbitMQ. I’m experienced with Django, Celery, RabbitMQ, and both relational and non-relational databases.
I’m looking to collaborate on new projects to strengthen my GitHub portfolio. If you have any project ideas, need an extra hand on existing projects, or want to brainstorm something cool, let’s connect!
Thanks!
/r/django
https://redd.it/1f748vp
Reddit
From the django community on Reddit
Explore this post and more from the django community
Can anyone help me complete my tracker server (BitTorrent Protocol)
I am trying to create my own private bittorrent protocol which I will use for load balancing static data in the web server to visitors. I have app.py written, among other things, but what is weird to me is that I can initiate the magnet url download process, but then no data is transferred. Additionally, I am able to download .torrent files.
This is the repository, could someone take a look at it and tell me what they think? I'm planning to make this a free and public web forum.
/r/flask
https://redd.it/1f79sre
I am trying to create my own private bittorrent protocol which I will use for load balancing static data in the web server to visitors. I have app.py written, among other things, but what is weird to me is that I can initiate the magnet url download process, but then no data is transferred. Additionally, I am able to download .torrent files.
This is the repository, could someone take a look at it and tell me what they think? I'm planning to make this a free and public web forum.
/r/flask
https://redd.it/1f79sre
GitHub
GitHub - therealjr/gremlincodes
Contribute to therealjr/gremlincodes development by creating an account on GitHub.