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Question, Tips and Tricks, Best Practices on Python Programming Language
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Streaming HTTP Response Factory

In django I have a few API integrations that take a few seconds in a single HTTP request to finish. Rather than just letting the page spin, I decided it would be way better UX to send back "status updates" for each step.

Im using the StreamingHttpResponse and a custom factory I built. I'm trying to implement a few more solid design patterns in the app. So this is kind of practice, but also being used in prod. The way it functions is very similar to how ChatGPT's typed text is streamed back to the client.


Here's the code below:

# task_factory.py
class MyTaskFactory:

def __init__(self):
self.tasks = []

def _build(self):
return [task.build() for task in self.tasks]

def add_task(self, name):
task = MyTask(name, self)


/r/django
https://redd.it/1hek6g5
Looking to Switch from MERN to Django – Seeking Resources and Guidance for a Smooth Transition!

Hi,
I just wanna switch my tech stack from MERN to django I just need suggestions to find resources nd for the sake of references I have made projects like c++ code editor which is basically a serverless website user just visits write,run and compiles the code nd they gets the output as simple as that. And also a vitagaurd a micro nutrition tracker which tracks users micronutrients such as vitamins, minerals stuff it also have a profile which shows a piechart of all nutritions consumed in a day. couple other projects those were like very common such as social media platform,course selling, chat application etc...

The reason why I wanna switch is cuz wanna explore django nd how it works yeah

Any suggestions might help hehe

/r/django
https://redd.it/1heb2ls
NGL Like project updates.

A small update from my NGL like project built with flask and react with following feature.

\- Reset password
\- New profile & settings design
\- Added an email

You can try:
https://stealthmessage.vercel.app/

Send me a message:
https://stealthmessage.vercel.app/secret/c3aec79d0c

Code:
https://github.com/nordszamora/Stealth-Message.git

Send me your feedback:)

/r/flask
https://redd.it/1he3hg9
How to navigate through file tree using url_for with flask buleprint?

I'm having trouble making my web app to read static style .css file when using flask blueprint. The HTML fails to read this stylesheet. I'm going describe how the project files are structured followed by the content of each files.

# Project structure

Below is the file structure tree:

main.py
coolestapp/
├──
init.py
└── pages/
├──
init.py
├── templates/
│ ├── base.html
└── static/
└── styles/
└── base.css

There are in total 5 files within this project. But, I'm only giving the content of 4 files only since the `.css` file content is irrelevant.

a. [`main.py`](
http://main.py) file

from coolest
app import createapp

app = create
app()

if name == "main":
app.run(debug=True, host="0.0.0.0", port="10000")

b. coolest_app/__init__.py

/r/flask
https://redd.it/1he36l5
Redirect from a called function

let's say I have a route, where the second function is in another file. The redirect is not working.

route
def fun1():
fun2()

def fun2():
redirect(url_for())

/r/flask
https://redd.it/1het5j4
New to JWTs: How to Maintain User Login Beyond Token Expiration?

Hey everyone! I'm new to working with JWTs and have created a REST API that uses them for authentication, with a token validity of 15 minutes. As I integrate this API with a frontend framework, I'm facing a challenge: after the user logs in, the token expires after 15 minutes.

I want to ensure that users remain logged in indefinitely unless they explicitly log out. What are the best practices for handling JWT expiration? Should I implement a refresh token system, and if so, how should it be structured? Any guidance or examples would be greatly appreciated as I navigate this! Thanks in advance for your help!

/r/flask
https://redd.it/1hdbkcx
D Simple Questions Thread

Please post your questions here instead of creating a new thread. Encourage others who create new posts for questions to post here instead!

Thread will stay alive until next one so keep posting after the date in the noscript.

Thanks to everyone for answering questions in the previous thread!

/r/MachineLearning
https://redd.it/1hevk2a
Time Series Analysis using First Return Time Statistics

Hi All,
I am currently working on a project focused on classifying chaotic and regular/quasi-periodic time series and am encountering some difficulties related to first return time statistics.

Some references suggest that for ergodic time series, the first return time statistics display an exponential decay, whereas this behavior does not generally apply to regular or quasi-periodic time series. However, I have observed that the Python code I implemented generates an exponential decay even for sin(t), which is a periodic function.

In light of this, I would greatly appreciate your insights on the general validity of the claim that first return time statistics exhibit exponential decay for ergodic time series but not for regular time series. Additionally, I would like to understand whether first return time statistics are an effective and sufficient method for analyzing the underlying dynamics of a time series. If so, I would be grateful for any suggestions regarding potential errors in my Python code (attached).

img1

img2



/r/pystats
https://redd.it/1heo3ef
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[P] I made wut – a CLI that explains your last command using a LLM

/r/MachineLearning
https://redd.it/1hew6wy
best django course request

Hi friends, I'm new to django and i want to boost my learning to finish it faster so would appreciate suggesting django course for me.

thanks i advance.

/r/django
https://redd.it/1hfblp9
Flask with apache2 issues with routing.

I have a flask app running in a docker container open to port 5000 on my server. Apache2 is proxying port 5000 to myserver.com/myapp (not real). I have used url_for in all my templates however all the addresses it generates go to myserver.com/address instead of myserver.com/myapp/address how do I fix this?

/r/flask
https://redd.it/1hf9gze
Report of big data. Experience stories

Good day🙋
Is there someone who works on a project where there's big data involved, i mean big database ( we use postgresql) where in one table for example, there is a lot of entries and there is a need of generating a report of them. For us we have celery and redis doing the work. The best part, It is not blocking the application but we are not very satisfied with the generation part. For example in order to generate a report of 10000 identifications, it takes around 20min. I would like to hear other stories and experience of dealing with generation of big report with a lot of data.

/r/django
https://redd.it/1hey4ft
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 denoscription 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

**Denoscription**: 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

**Denoscription**: 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

**Denoscription**: Create a noscript 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/1hf62db
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/r/flask
https://redd.it/1hf9l81
D What's your favorite paper you've read this year and why?

Haven't made this thread in many years, but holiday travel demands are great and would love to have a repository of papers to read during it.

/r/MachineLearning
https://redd.it/1hfljy3
Summarized how the CIA writes Python

I have been going through Wikileaks and exploring Python usage within the CIA.

They have coding standards and write Python software with end-user guides.

They also have some curious ways of doing things, tests for example.

They also like to work in internet-disconnected environments.

They based their conventions on a modified Google Python Style Guide, with practical advice.

Compiled my findings.



/r/Python
https://redd.it/1hez6qa
Stockstir is a Python library that lets you get stock information from any noscript at no cost

Hello!

Just wanted to quickly showcase my project, Stockstir, which may be of use to many of you that want to follow stock prices freely in any noscript.

What My Project Does

Stockstir is an easy way to instantly gather stock data from any of your Python noscripts. Not only that, but it includes other features, such as multi data gathering, anti ban, a fail-safe mechanism, random user agents, and much more.

Target Audience

Stockstir is for everyone that needs to gather realtime company stock info from any of their noscripts. It mostly differs from any other stock related project in the way that it is simple, and doesn't rely on apis that cost money.

Comparison

Stockstir differs from other methods of gathering stock data in that it is has a very simple concept behind it. It is largely a GET wrapper in the Tools class, but initial API support such as Alpha Vantage, as well as gathering much more data of a Company stock through cnbc's JSON api, under the API class. It is mostly a quick way to gather stock data through simple use.

You can find installation instructions and other information under the project link provided below:

Link: Stockstir Project Link

To see the latest Changelog information,

/r/Python
https://redd.it/1hfmmm5
P Graph-Based Editor for LLM Workflows

We made an open-source tool that provides a graph-based interface for building, debugging, and evaluating LLM workflows: https://github.com/PySpur-Dev/PySpur

Why we built this:

Before this, we built several LLM-powered applications that collectively served thousands of users. The biggest challenge we faced was ensuring reliability: making sure the workflows were robust enough to handle edge cases and deliver consistent results.

In practice, achieving this reliability meant repeatedly:

1. Breaking down complex goals into simpler steps: Composing prompts, tool calls, parsing steps, and branching logic.
2. Debugging failures: Identifying which part of the workflow broke and why.
3. Measuring performance: Assessing changes against real metrics to confirm actual improvement.

We tried some existing observability tools or agent frameworks and they fell short on at least one of these three dimensions. We wanted something that allowed us to iterate quickly and stay focused on improvement rather than wrestling with multiple disconnected tools or code noscripts.

We eventually arrived at three principles upon which we built PySpur :

1. Graph-based interface: We can lay out an LLM workflow as a node graph. A node can be an LLM call, a function call, a parsing step, or any logic component. The visual structure provides an instant overview, making complex workflows more intuitive.
2. Integrated debugging: When

/r/MachineLearning
https://redd.it/1hfr4sg
Tuesday Daily Thread: Advanced questions

# Weekly Wednesday Thread: Advanced Questions 🐍

Dive deep into Python with our Advanced Questions thread! This space is reserved for questions about more advanced Python topics, frameworks, and best practices.

## How it Works:

1. **Ask Away**: Post your advanced Python questions here.
2. **Expert Insights**: Get answers from experienced developers.
3. **Resource Pool**: Share or discover tutorials, articles, and tips.

## Guidelines:

* This thread is for **advanced questions only**. Beginner questions are welcome in our [Daily Beginner Thread](#daily-beginner-thread-link) every Thursday.
* Questions that are not advanced may be removed and redirected to the appropriate thread.

## Recommended Resources:

* If you don't receive a response, consider exploring r/LearnPython or join the [Python Discord Server](https://discord.gg/python) for quicker assistance.

## Example Questions:

1. **How can you implement a custom memory allocator in Python?**
2. **What are the best practices for optimizing Cython code for heavy numerical computations?**
3. **How do you set up a multi-threaded architecture using Python's Global Interpreter Lock (GIL)?**
4. **Can you explain the intricacies of metaclasses and how they influence object-oriented design in Python?**
5. **How would you go about implementing a distributed task queue using Celery and RabbitMQ?**
6. **What are some advanced use-cases for Python's decorators?**
7. **How can you achieve real-time data streaming in Python with WebSockets?**
8. **What are the

/r/Python
https://redd.it/1hfxi6n