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

[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

How to show a modal in Django + HTMX
https://joshkaramuth.com/blog/django-htmx-modal/

/r/djangolearning
https://redd.it/1hfgty1

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

Laravel Developer Inheriting a Flask App

Hey all - I've been writing web apps in Laravel pretty much exclusively for the past 10 years. I was hired on by a client who said their previous developer was bailing on them and taking his code with him and I had 3 weeks to recreate his work. I was excited for the challenge. Now they've made nice enough with the previous developer (paying him the $50k of back pay they owed him - red flag!) that he's going to give me the source for the existing app. Turns out it's written in Python/Flask.

They're giving it to me in an AWS AMI that I theoretically just spin up in a new environment and it's good to go - includes all the RabbitMQ stuff, cron jobs, apache setup, etc.

The kicker though is that they want me to sign on to support this thing for a year or more. I was excited about that part too when I thought it was something I was going to write from the ground up and know inside and out. Supporting somebody else's stuff in a stack I don't understand... different enchilada.

Anybody here worked in both Laravel and Flask that might have some insight

/r/flask
https://redd.it/1hg1pbq

selfie-lib - snapshot testing *and* caching/memoization (useful for testing against genAI)

# What My Project Does

selfie-lib is a snapshot testing library ([docs](https://selfie.dev/py/get-started#quickstart), [source](https://github.com/diffplug/selfie)), with a few novel features. At its most basic, it functions like `print` but it writes into your sourcecode instead of the console. You write a test like this:

expect_selfie(primes_under(15)).to_be_TODO()

When you run the test, selfie automatically rewrites the test code by calling `repl()` on the result of `primes_under(15)`, e.g.

expect_selfie(primes_under(15)).to_be([2, 3, 5, 7, 11, 13])

Now that the method call is `to_be` instead of `to_be_TODO`, this will throw an `AssertionError` if the `primes_under(15)` call ever changes its output.

That's standard snapshot testing stuff, the other things it can do are

* save snapshots inline with the source code or on disk
* [https://selfie.dev/py/facets#harmonizing-disk-and-inline-literals](https://selfie.dev/py/facets#harmonizing-disk-and-inline-literals)
* you can use snapshots to cache/memoize the results of slow & non-deterministic APIs (e.g generative AI), and build other test infrastructure on top of that snapshotted data
* [https://selfie.dev/py/cache#example](https://selfie.dev/py/cache#example)

# Target Audience

**People who test their code with** `print`. Just replace `print` with `expect_selfie(...).to_be_TODO()` and you can turn that `print` into a repeatable test.

**People who are building applications with nondeterministic or slow components, such as generative AI.** You don't want to hit the model for every unit test on the

/r/Python
https://redd.it/1hfwri1

Advice for Landing an Entry-Level Django Developer Job Without Professional Experience

Hi everyone,

I’ve been learning Django for a while and have built a few personal projects to strengthen my skills. While I feel confident in my abilities, I don’t yet have professional development experience. Because of this, I’ve been struggling to land an entry-level or junior developer role.

I’d love to hear feedback or advice from seasoned developers or anyone currently working in the field. Your feedback and advice are truly priceless to me, and I deeply appreciate any insights you can share.

I’m planning to include my resume and a link to my portfolio in this post for reference. Any tips or suggestions on how I can improve them, or general advice about entering the field, would mean a lot to me.

Thank you so much for your time and help!

Portfolio , Resume

/r/django
https://redd.it/1hg5lc8

TypeScribe: A Python GUI App for organic Handwritten Text Generation with Machine Learning

Hey folks, just sharing a little side project I have been working on.

I was looking for a handwritten text generator, but since most of them rely on fixed fonts, the consistency becomes an obvious give away. So, I decided to build one on my own.

# TypeScribe v1.0

I'm excited to introduce TypeScribe, a program that converts text into organic handwritten text using a Recurrent Neural Network (RNN) trained on real handwriting samples. In documents generated with TypeScribe, every stroke, curve, and loop is unique.

What My Project Does

With TypeScribe, you can customize every aspect of the your handwritten documents including:

12 unique handwriting styles to choose from
Page, Line and Margin color customization
Page Dimensions
Ink Color, Pen Thickness Customization
Handwriting Consistency (Neatness)
and many more!

Target Audience

With TypeScribe, you can:

1. Create organic handwritten letters (in cursive!).
2. Fill in your notebooks!
3. Send out handwritten Christmas cards, just in time!
4. Add a personal touch to absolutely anything.

TypeScribe can automatically split large texts into multiple pages, and YOU get to specify how many lines to write per page!

When you create a document with TypeScribe, it generates an SVG file that can be scaled with zero loss in quality. All you have to do is paste

/r/Python
https://redd.it/1hg682r

AF

My flask code display 'Method Not Found' ,although the "GET" request is working properly . Can any one help me ,please

https://preview.redd.it/fmkkpnbwx87e1.png?width=921&format=png&auto=webp&s=2df436fb1e713a05fb33fc31f4ef8c00f5432bd8



/r/flask
https://redd.it/1hfoj57

Py-Cachify 2.0 - Distributed Locks and Handy Caching Decorators

What My Project Does

Py-Cachify is a robust caching and locking library for Python applications. I recently published a significant 2.0 update introducing several improvements, including enhanced locking versatility, revamped documentation, automatically attachable helper methods, and more. This library simplifies the implementation of caching and locking, offering decorators to easily integrate these features into your code.


Target Audience

This library is ideal for developers looking to optimize their Python applications, whether for production use or personal projects. Its features cater to both novice and experienced Python developers.


Comparison

Py-Cachify focuses on the simplicity of cache and lock implementations, prioritizing ease and flexibility of use in any app over complex caching/locking strategies. One of its standout features is dynamic key generation based on function signatures without any external dependency, allowing you to cache function results with context-aware keys.

Additionally, it works in both synchronous and asynchronous environments and is fully type-annotated for enhanced IDE support.


The source code is on GitHub.

The new documentation is here.

Feedback and feature requests are appreciated!

/r/Python
https://redd.it/1hftk6a