.csv file truncates data no matter what

I am working on using pandas to automate combining, sorting, and counting music playlists at the college station at which I am the faculty advisor.

I can import the files over the station network, create a data frame that pulls the specific data I want, but I cannot seem to get the full data set. No matter how many different ways to set to display the full set, it truncates the dada frame, only showing the first/last three list entries.

here is my block:

import pandas as pd

df = pd.read_csv(r”net path\file.csv”, encoding = “ANSI”, header = None)

data = df.iloc[:, [2, 3, 4]].values

pd.set_option(“display.max_rows”, None)

any suggestions?


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

Made a full body workout app

So i had this idea for a while now and this isnt the first version (first 2 were kivy apps), but i built a workout app.

excercises are selected randomly based on what level you set(1->4), videos are embeded youtube videos, equipments can be toggled or off.once you are satiffied with the preview you can accept it at the bottom of the page. the app is kind of ugly which is one thing i want to ask about, i am no front dev so any ideas about color and such or resources how to pick better colors, gaps, styling is welcome, i got no experience,i read the book: the design of everyday things and in usability it did give some great pointers but the page is just ugly.

the app is in beta so there are some bugs. you can log in with a guest account or you can also make a profile.(note that for now there is no extensive regex but the email has to contain gmail in it)

working on a major update that will add lower- upper split routine , and a routine builder for more flexible workouts.

front end uses some js and self cooked css, as well as bootstrap.

/r/flask
https://redd.it/1j9q0k2

Created a web application to allow users to evaluate their options for cars to purchase on a deeper level

As the title suggests, I created a web application using flask and some very basic bootstrap to add a whole new level to comparing different vehicles. Yeah MPG is important, but does that really matter when you have to lay down an extra $5,000 down and have to pay an extra $300 per month? Maybe not so much anymore, and how about maintenance and driving habits?

The page is broken down into two sections:

Global: shows variables like the interest rate on a loan you can get, estimated time you plan on owning the car, how many miles you drive per month, fuel price, and driving habbits (ie, I drive 80% on the highway and 20% in the city
Variables for up to 3 cars: Car name, down payment, monthly payment on the loan, average monthly maintenance, and city/highway mpg

Once you enter this information in, you will be taken to a page that shows what the total cost of ownership (TCO) is for each vehicle over the period of time you want to own it. The car with the lowest TCO will be the least expensive car.

This application will help you make these decisions by looking at the total cost of

/r/flask
https://redd.it/1j9gchf

R Transformers without Normalization (FAIR Meta, New York University, MIT, Princeton University)

Transformers without Normalization
Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu
arXiv:2503.10622 [cs.LG\]: https://arxiv.org/abs/2503.10622
Abstract: Normalization layers are ubiquitous in modern neural networks and have long been considered essential. This work demonstrates that Transformers without normalization can achieve the same or better performance using a remarkably simple technique. We introduce Dynamic Tanh (DyT), an element-wise operation DyT(x)=tanh(αx), as a drop-in replacement for normalization layers in Transformers. DyT is inspired by the observation that layer normalization in Transformers often produces tanh-like, S-shaped input-output mappings. By incorporating DyT, Transformers without normalization can match or exceed the performance of their normalized counterparts, mostly without hyperparameter tuning. We validate the effectiveness of Transformers with DyT across diverse settings, ranging from recognition to generation, supervised to self-supervised learning, and computer vision to language models. These findings challenge the conventional understanding that normalization layers are indispensable in modern neural networks, and offer new insights into their role in deep networks.
code and website: https://jiachenzhu.github.io/DyT/
Detailed thread on X by Zhuang Liu: https://x.com/liuzhuang1234/status/1900370738588135805

https://preview.redd.it/c017auy7ztoe1.jpg?width=1116&format=pjpg&auto=webp&s=e87b7d0ddd44df8f5a7f789365bf128113307539



/r/MachineLearning
https://redd.it/1jbs7xg

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/1jbi7gc

Django Query Optimization - Defer, Only, and Exclude
https://testdriven.io/blog/django-query-optimization/

/r/django
https://redd.it/1jbw1sh

Struggling to Land US/Western Europe Remote Roles as an Indian Django Developer – Need Advice

Hi everyone,

I’m a Django developer with 4 years of experience, currently based in India. Despite my remote work experience with international companies (including projects for teams in the Netherlands and The Bahamas), I keep hitting a wall. Most remote job applications seem to be met with responses like “we don’t hire from India” or “we’re looking for someone with more experience or cultural fit.”

I understand that factors such as purchase power parity play a part in salary negotiations and market rates. However, I feel that my location is unfairly limiting my opportunities and undervaluing my skills. I’m eager to work with US or Western European companies that appreciate quality and expertise, regardless of where I’m based.

I’m reaching out to this community for advice:

How can I better position my skills and remote work experience to overcome the location bias?
Has anyone successfully navigated similar challenges? If so, what strategies or platforms did you find most effective?
Any tips for tweaking my resume or application approach to appeal to international employers?
how much should i expect in salary since i have 4 years of experience & i dont have a CS degree.

p.s. i post my learnings on twitter and on my blog.

my portfolio - https://sorv.dev

/r/flask
https://redd.it/1jbvje6

Unvibe: Generate code that passes Unit-Tests

# What My Project Does
Unvibe is a Python library to generate Python code that passes Unit-tests.
It works like a classic unittest Test Runner, but it searches (via Monte Carlo Tree Search)
a valid implementation that passes user-defined Unit-Tests.

# Target Audience (e.g., Is it meant for production, just a toy project, etc.)
Software developers working on large projects

# Comparison (A brief comparison explaining how it differs from existing alternatives.)
It's a way to go beyond vibe coding for professional programmers dealing with large code bases.
It's an alternative to using Cursor or Devon, which are more suited for generating quick prototypes.



## A different way to generate code with LLMs

In my daily work as consultant, I'm often dealing with large pre-exising code bases.

I use GitHub Copilot a

/r/Python
https://redd.it/1jbv74v

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/1jc8qu4

Made a Youtube Downlaoder and Thumbnail Tester

Made a Youtube Video downloader and a Thumbnail Tester. Also looking to add a braille AI translator I made.

I made it cause I am an editor and download a lot of youtube vids, but most of the sites are really bad and scammy. Check it out if you want :)

/r/flask
https://redd.it/1j9q1ha

R Recent advances in recurrent neural networks---any sleepers?


title; all i hear is mamba when it comes to recurrent neural networks these days. which recurrent neural network framework are you optimistic for?

/r/MachineLearning
https://redd.it/1jbzcoc

Driver Fatigue Monitoring

made a cool Drowsiness Detector
check it out, leave a comment if u have any suggestions or want to collaborate

https://github.com/SomnoCam/Drowsiness-Detector.git

/r/Python
https://redd.it/1jca2ny

FastOpenAPI library Flask, Falcon, Quart, Sanic, Starlette

While working on a project that required OpenAPI documentation across multiple frameworks, I got tired of maintaining different solutions. I really like FastAPI’s routing—it’s clean and intuitive. So I built FastOpenAPI, which brings a similar approach to other frameworks.

# What FastOpenAPI Does

FastAPI-style routing, but without being tied to FastAPI.
Automatic OpenAPI documentation generation.
Built-in request validation with Pydantic.
Supports Flask, Falcon, Sanic, Starlette, and Quart.

# Target Audience

FastOpenAPI is designed for web developers who like FastAPI-style routing but need to use a different framework for various reasons. It’s a compromise solution for those who want a clean and intuitive API but cannot use FastAPI.

# Comparison

Compared to existing solutions:

Not tied to FastAPI, unlike FastAPI itself, which is built on Starlette.
Unified routing style and OpenAPI generation across multiple frameworks.
Built-in request validation with Pydantic, whereas many frameworks require manual data parsing and validation.
Simpler and more concise syntax than Flask-Smorest or Spectree, which use different approaches.

The project is still evolving, and I’d love any feedback or testing from the community!

📌 GitHub: https://github.com/mr-fatalyst/fastopenapi
📦 PyPI: https://pypi.org/project/fastopenapi/

/r/Python
https://redd.it/1jc4ffr

A Very Early Play With Astral's Red Knot Static Type Checker

https://jurasofish.github.io/a-very-early-play-with-astrals-red-knot-static-type-checker.html

I've just had a play with the new type checker under development as part of ruff. Very early, as it's totally unreleased, but so far the performance looks extremely promising.

/r/Python
https://redd.it/1jcgh0o

Introducing Eventure: A Powerful Event-Driven Framework for Python

**Eventure** is a Python framework for simulations, games and complex event-based systems that emerged while I was developing something else! So I decided to make it public and improve it with documentation and examples.

## What Eventure Does

Eventure is an event-driven framework that provides comprehensive event tracking, querying, and analysis capabilities. At its core, Eventure offers:

- **Tick-Based Architecture**: Events occur within discrete time ticks, ensuring deterministic execution and perfect state reconstruction.
- **Event Cascade System**: Track causal relationships between events, enabling powerful debugging and analysis.
- **Comprehensive Event Logging**: Every event is logged with its type, data, tick number, and relationships.
- **Query API**: Filter, analyze, and visualize events and their cascades with an intuitive API.
- **State Reconstruction**: Derive system state at any point in time by replaying events.

The framework is designed to be lightweight yet powerful, with a clean API that makes it easy to integrate into existing projects.

Here's a quick example of what you can do with Eventure:

```python
from eventure import EventBus, EventLog, EventQuery

# Create the core components
log = EventLog()
bus = EventBus(log)

# Subscribe to events
def on_player_move(event):
# This will be linked as a child event
bus.publish("room.enter",


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

Polars Plugin for List-type utils and signal processing

\# What My Project Does

It is a Polars Plugin to facilitate working with List-type data in Polars, in particular for signal processing

\# Target Audience (e.g., Is it meant for production, just a toy project, etc.

Data Scientists working with List-type data in Polars or considering using Polars for their work on signal data.

\# Comparison (A brief comparison explaining how it differs from existing alternatives.)

Currently there are no Polars-native alternatives for these methods except for elementwise aggregation, but as I describe below this provides a number of benefits to Polars-native approaches. The only other alternative for the other methods is converting your data to Numpy, doing your work there, and then moving it back into Polars which breaks most of the query optimization and parallelization benefits of Polars.

\# The story:


I made a Polars plugin (mostly for myself at work, but I hope others can benefit from this as well) with some helpers and operations for List-type columns. It is in a bit of a pragmatic state, as I don't have so much time at work to polish it beyond what I need it for but I definitely intend on extending it over time and adding a proper documentation page.



Currently it can do

/r/Python
https://redd.it/1jci6px

Stereo-Hands: Stereo panning on the basis of hand gestures ( Hand control music in 3D )

What it does: It captures real time image from camera, traces hand positioning and recognizes fingertips and adjust stereo of the music accordingly to give the feeling of hand control for 3d music experience

Target audience: Developer who seek cool projects.

Comparison: It's a original idea only intended for fun, so no comparison I guess?

Here is the Code.

/r/Python
https://redd.it/1jcean2

Should I skip the first 2 projects for this tutorial

I am watching the 10hr long freeCodeCamp Django tutorial by tomi. The thing is I wanted to just directly get to the realtime chat application as I have a hackathon coming up where I have to build the same. Therefore I was planning on skipping the first 2 projects, being A blog and a weather app. Should I skip or just pull an all nighter and complete the whole thing?

/r/djangolearning
https://redd.it/1jchk87

Release tkinter-embed: Install Tkinter for Windows Embedded Python via pip

If you distribute Python applications on Windows using embedded Python, you've likely struggled with installing GUI libraries like Tkinter. Until now, this required manual file copying (see this Stack Overflow thread), which is error-prone and time-consuming. Introducing **tkinter-embed**:

A PyPI package that automates Tkinter installation for embedded Python environments. Now you can use pip directly!

# What My Project Does

tkinter-embed solves Tkinter installation for Windows Embedded Python distributions through a pip-installable package. It automatically copies required DLLs, libraries, and support files to create functional GUI applications without manual file operations. Enables Tkinter-based GUI development in portable Python environments.

# Target Audience

Primarily for developers who:

Distribute portable Windows apps using embedded Python

Create self-contained tools for non-technical users

# Installation Guide

# Step 1: Install pip

Choose one method:

Method 1: Use pip.pyz (recommended)

Method 2: Use get-pip.py

.\python get-pip.py --target .

# Step 2: Install setuptools

In your embedded Python folder:

.\python pip.pyz install setuptools --target .

OR if you used get-pip.py

.\python -m pip install setuptools --target .

# Step 3: Install tkinter-embed

In your embedded Python folder:

.\python pip.pyz install tkinter-embed --target .

OR if you used get-pip.py

.\python -m pip install tkinter-embed --target .

After completing these steps, Tkinter

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

How to safely host Django locally?

I've just got my public IP from my ISP and I wonder which security risks I need to take care when opening a port and letting my PC available to the web.

How much better will it be to just host on AWS or Heroku?

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