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I played a minute-long video in Windows Terminal

I recently worked on a project combining my love for terminal limits and video art. Here’s what I achieved: • Rendered a 1-minute-long (almost two) ASCII video in the terminal, without graphics libraries or external frameworks. • Used true 24-bit colors for each frame, offering deeper color representation in terminal-based projects. • Processed 432 million characters over 228 seconds, translating each frame’s pixels to colors. • Optimized performance with multi-processing, running on an integrated graphics card.

Specs:

• 30 FPS
• 160,000+ characters per frame
• 2,700 frames
• 3 pixels per character for better performance

For further optimization, I reduced the font size to 3 pixels and used background colors to handle brightness.

What my project does?
While not the most practical project, it’s an experiment I’m satisfied with it. No real use, but hey, it’s fun!

Target audience
This is more of a fun project so I can't say it has a specific target audience, but I could say that people that strangely feels good coding "useless" things might like it.

Comparison
Well it is not an ASCII player anymore to be precise, but what it does now is just display video in the terminal using basically pure ANSI, I

/r/Python
https://redd.it/1gro3kl
Hidden Trigger: Unlock Python’s Built-in Debugging Superpower with PDB

Alert: New Python Tutorial!
Did you know Python has a built-in debugger that can turn you into a bug-slaying detective? In just 5 minutes, learn all the secrets to enhance your debugging skills by using the built-in PDB tool to track down errors, set breakpoints, and inspect your code like a pro!

**tutorial link**

/r/Python
https://redd.it/1gsdcj8
Yami - A music player made with Tkinter Now on pypi!

I would like some user feedback
**Github Link:** [https://github.com/DevER-M/yami](https://github.com/DevER-M/yami)
**Pypi Link:** [https://pypi.org/project/yami-music-player/](https://pypi.org/project/yami-music-player/)
**Some of the features**

* ***mp3 , flac, and many audio formats supported for playback***
* ***Clean UI***
* ***Can download music with art cover***
* ***it is also asynchronous***

**Libraries used**

* customtkinter
* spotdl
* mutagen

**Target audience**
This project will be useful for people who do not want ads and want a simple user interface to play music

**Comparison**
There are currently no projects that have all the features covered and is made with tkinterTo use this install all requirements in the .txt file and you are good to go

**RoadMap**
I will update it now and then

A follow would be nice! [https://github.com/DevER-M](https://github.com/DevER-M)

/r/Python
https://redd.it/1grzxre
Have started the django doc again, and got stuck.

At this part of "Writing your first app", I try to type in "py manage.py startapp polls" and it shows "ModuleNotFoundError: No module named 'polls". Why is that?

/r/djangolearning
https://redd.it/1grq58d
🚀 Feature Friday: PostgreSQL Connection Pools!

Welcome to this week's Django Feature Friday on PostgreSQL Connection Pools!

This small-but-mighty change lets you enable connection pooling with a single line in your settings. This reduces the overhead of accessing your database, leading to improved performance.

You can turn it on like this:

DATABASES = {
"default": {
"ENGINE": "django.db.backends.postgresql",
# ...
"OPTIONS": {
"pool": True,
},
},
}

If you want fine-grained control over your connection pools, you can also explicitly configure them by passing in a dictionary of settings:

DATABASES = {
"default": {
"ENGINE": "django.db.backends.postgresql",
# ...


/r/django
https://redd.it/1grwhlk
P Analysis of why UMAP is so fast

Hi, I recently spent some time to understand the core implementation of the UMAP algorithm from the point of view how it was implemented and why it's so fast (even though it's in python). I decided to decompose the algorithm into smaller steps in which I add some minor improvements to the code (one by one), so that at the end the final results are very similar to what I can get from the UMAP.

To my surprise, most of these changes were just tricks in the optimization code to run things faster or update less important things less often. Of course, my implementation does not reproduce the UMAP algorithm in 100% as it was done in the educational purposes.

I provided a detailed explanation in my project of what I had to add in each step to move towards UMAP like algorithm. Here is the project page: https://github.com/kmkolasinski/nano-umap

If you are a person like, who likes to optimize the code for performance you may find this interesting. Here is a demo what I was able to get:

https://preview.redd.it/eww57c3x881e1.png?width=1921&format=png&auto=webp&s=ed4a345e40b47782ddf39cb93eb9d03207db1160

TLDR: in UMAP they:

use ANN library to quickly find top k-NN,
use good initialization method which makes things more stable and algorithm requires

/r/MachineLearning
https://redd.it/1gsjfq9
fxgui: Collection of Python Classes and Utilities designed for Building Qt-based UIs in VFX

Hey Python enthusiasts! Any VFX folks here? I've developed a little package called `fxgui` \- a collection of Python classes and utilities designed for building Qt-based UIs in VFX-focused DCC applications.

It's available on [GitHub](https://github.com/healkeiser/fxgui), [PyPI](https://pypi.org/project/fxgui), and comes with [documentation](https://healkeiser.github.io/fxgui). I'd love to hear your thoughts and get some feedback!

# Target Audience

* VFX/CGI people working from multiple DCCs.

# Key Features

* Quick setup of common widgets.
* Reusable custom UI components.
* Fully compatible over PySide2/PySide6, thanks to [qtpy](https://pypi.org/project/QtPy/).

# Comparison

* Specifically designed for multi-DCC environments (Maya, Houdini, Nuke, etc.).
* Saves development time by offering ready-to-use components.
* Maintains consistency and standardization across projects and DCCs.

/r/Python
https://redd.it/1gru93h
Unable to Login with Flask-WTF and Flask-Login

\---

**Denoscription:**

I'm building a Flask application with user login functionality using Flask-WTF for form handling and Flask-Login for user authentication. However, I am unable to log in successfully. The page does not redirect as expected, and the login validation does not work.

I have implemented CSRF protection, and I believe the issue might be with how the data is being validated or how the routes are configured.

\---

**What I've Tried:**

1. Ensured that I am redirecting using \`url\_for()\` to a valid route.
2. Added \`csrf.init\_app(app)\` in my \`create\_app()\` function.
3. Included \`{{ form.csrf\_token() }}\` in my login form.
4. Verified that my database connection works, and user data is stored correctly.
5. Checked that Flask-Login's \`login\_user()\` function is being called.

\---

**Code Snippets:**

**\_\_init\_\_.py**

**python**

`from flask import Flask`

`from flask_sqlalchemy import SQLAlchemy`

`from flask_migrate import Migrate`

`from flask_bcrypt import Bcrypt`

`from flask_login import LoginManager`

`from flask_wtf.csrf import CSRFProtect`

`db = SQLAlchemy()`

`migrate = Migrate()`

`bcrypt = Bcrypt()`

`login_manager = LoginManager()`

`csrf = CSRFProtect()`

`def create_app():`

`app = Flask(__name__)`

`app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql://root:Root1234!@localhost/school_hub'`

`app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False`

`app.secret_key = 'your-secret-key'`

`db.init_app(app)`

`migrate.init_app(app, db)`

`login_manager.init_app(app)`

`bcrypt.init_app(app)`

`csrf.init_app(app)`

`login_manager.login_view = 'login'`

`from .routes import main as main_blueprint`

`app.register_blueprint(main_blueprint)`

`with app.app_context():`

`db.create_all()`

`return app`

`login_manager.user_loader`

`def load_user(user_id):`

`from .models import User`

`return User.query.get(int(user_id))`



**routes.py**

**python**

`from flask import render_template, request, redirect, url_for, flash`

`from flask_login import login_user`

`from .models import User`

`from .forms import LoginForm`

`app.route("/login", methods=["GET", "POST"])`

`def login():`

`form = LoginForm()`

`if form.validate_on_submit():`

`email = form.email.data`

`password = form.password.data`

`user = User.query.filter_by(email=email).first()`

`if user and user.check_password(password):`

`login_user(user)`

`return redirect(url_for('home'))`

`else:`

`flash("Invalid credentials", "danger")`

`return render_template("login.html",

/r/flask
https://redd.it/1gsm10l
Custom Analytics Libraries

I've made a very basic Django site, I'll deploy it later on but I'm actually having a little of fun making it. I work as an analyst and I've managed to get 4 queries from and display them with chart.js and I'm super happy with how it looks, I'll do some more formatting at a later date but I'd like to keep building this out.

Does anyone else have any experience making their own analytics stuff? What libraries look good for displaying charts and stuff? I realize I'm not reinventing the wheel, we use Looker and Tableau at work but I would like to do something cool.

/r/django
https://redd.it/1gsl3vb
Finally Completed : A Personal Project built over the weekend(s) - Netflix Subnoscript Translator

Motivation : Last week, I posted about my project, Netfly: The Netflix Translator, here on r/python. I initially built it to solve a problem I ran into while traveling. Let me explain :

On a flight from New Delhi to Tokyo, I started watching an anime movie, The Concierge. The in-flight entertainment had English subnoscripts, and I was hooked, but I couldn’t finish it. Later, I found the movie on Netflix Japan, but it was only available with Japanese subnoscripts.

Here’s the problem: I don’t know enough Japanese (Nihongo wa sukoshi desu) to follow along, so I decided to build something that could fetch those Japanese subnoscripts, translate them into English, and overlay the translation on the video while retaining the Japanese subnoscripts which would give me better context.

What started as a personal project quickly became an obsession.

What does the Project Do ? : The primary goal of this project is simple: convert Japanese subnoscripts on Netflix into English subnoscripts in an automated way. This is particularly useful when English subnoscripts aren’t available for a noscript.

The Evolution of this Project / High Level Tech Solution : This is not the first iteration of Netfly. It has gone through two major updates based

/r/Python
https://redd.it/1gsm1kp
Django Challenges

I want to improve my coding skills on django and understand concepts better. Are they any django challenges monthly and weekly??

/r/djangolearning
https://redd.it/1gsjxpx
My site passes 45 security checks..

I made an ecommerce site with django, I am not that expert on security.. I try to follow what django provides for that, and I do drf’s is_valid method to incoming data..

There are about 150 apis and 50 frontend pages. I asked the cyber security agency that the government operates..

They check about 45 cyber attacks include OWASP top10.. it took about 2weeks and I got the report.. I was very nervous because I spent 2years to build the site and if it had many vernerabilities.. I wouldnt know how to fix..

Wow.. no single vernerabilies found, thanks to django.. I cant believe that django is that solid and secure..

/r/django
https://redd.it/1gsq92b
Write good tests

I just published an article outlining what I think good tests in Python are often missing. It's not intended to flesh out on any of the topics, and is frugal on the details where I think they are better explained other place. Rather it's intended to inspire your style guides and convention documents. These are an assembly of issues that's been up for discussion in various places I've worked, and my opinionated take on them.

So please, write good tests.


https://www.agest.am/write-good-python-tests

/r/Python
https://redd.it/1gspitz
What is the industry standard for Django project structure?

tldr: I have seen many posts on what the "best" Django project structure is. What is standard in the industry and why?

I'm learning the Django framework and I'm trying to investigate and understand the project folder structure and reasoning behind it. I'm aware of clean architecture and vertical slice architecture, so my first instinct is to adapt to something like that. I came across https://www.jamesbeith.co.uk/blog/how-to-structure-django-projects/ , which seems in line with what I'm looking for, though I'm not sure how often it is used in practice.

From Googling, it seems that a typical structure is the following, https://github.com/HackSoftware/Django-Styleguide-Example/ , where basically every module is a Django app (e.g. api, core, emails, users, etc are apps). To me, this seems to have some "disadvantages".

1. Models and migrations are scattered throughout the project, as opposed to being in 2 folders.
2. Excess boilerplate
3. Not everything needs to be a Django app (e.g. utility functions which don't reference Django at all).

From my current understanding, it seems like the only reasons we need Django apps are the migrations folder and models.py, as well a way to provide url patterns (e.g. urls.py) and views (e.g. views.py) so that the include function can pick them up. Unless I'm

/r/django
https://redd.it/1gsuhmj
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 noscript 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/1gt0n9f