Introducing WSCE: A Custom Shell Environment Built with Python

Over the past few weeks, I've been working on a custom shell environment called **WSCE**. Built entirely in Python, it mimics the functionality of an operating system and comes packed with features like a fake boot sequence, a text editor, and more. It's designed to provide a unique experience that blends the line between an OS and a shell environment.

# What My Project Does

WSCE is a simulated operating system environment built as a Python-based shell. It offers a range of features such as:

* **FakeBoot:** Emulates the boot process of an actual operating system.
* **Aurora Text Editor:** A simple text editor to mimic basic productivity tools.
* **CommandSearch:** A script that searches a folder for python files to make into custom commands

# Target Audience

This project is primarily a passion project and is not intended for production use. It is targeted at hobbyists, Python developers, and those interested in exploring custom shell environments or unique OS simulations. It's perfect for those who enjoy tinkering with code and experimenting with unconventional software projects.

# Comparison to Existing Alternatives

WSCE stands out because it's not like any other shell environment or operating system out there. Unlike traditional shells or full OS environments, this project focuses on simulating

/r/Python
https://redd.it/1f8sslp

Nice looking, data display tables in Python? +Video

Ahoy, I wanted to share a video my buddies made. They maintain the great_tables package, a library for building pretty tables with Python, e.g. for publication or the web. If that's something you might want to do, you might want to check this out.

Here's their video, https://youtu.be/M5zwlb8OzS0
Here's the package doc site, https://posit-dev.github.io/great-tables/
Here's the repo, https://github.com/posit-dev/great-tables

How do you approach creating publication ready tables from your python analytics?

/r/Python
https://redd.it/1f8zg2c

Agency together

Hey guys, been wanting to open up a tech agency where I can create website, web apps, mobile apps and other stuff.

Looking for someone who can help with dev as well as marketing etc.

Dm me if anyone of your guys are interested.

/r/flask
https://redd.it/1f8vab2

Is Python easier to break into than other languages coming fron experience in a different stack?

Im looking to get out of.net because its a career dead end in my local area but no java jobs consider me even though i have spring boot projects. Python seems less opinionated with libraries like fastapi so i wonder if its easier to break in as a generalist.

/r/Python
https://redd.it/1f92ekl

Hello guys i need help with something I'm using jupyter notebook for object detection but when i use this code: if cv2.waitkey(1) & 0xFF == ord('q'): break it shows this error: module 'cv2' has no attribute 'waitkey' Does anyone know why?



/r/IPython
https://redd.it/1f90tlr

Please roast my resume - looking for dev job for the 1st time

/r/django
https://redd.it/1f8p9ks

What are you best tips for managing the database state with a small team?

Small team working on a SaaS project with Django as the back end. We're all new to Django, and we're running into issues where the database and migrations keep getting out of sync.

We use github, and are developing locally. I'm sure this is a super common problem with easy fixes, and advice?

/r/django
https://redd.it/1f90c5z

Thursday Daily Thread: Python Careers, Courses, and Furthering Education!

# Weekly Thread: Professional Use, Jobs, and Education 🏢

Welcome to this week's discussion on Python in the professional world! This is your spot to talk about job hunting, career growth, and educational resources in Python. Please note, this thread is not for recruitment.

---

## How it Works:

1. Career Talk: Discuss using Python in your job, or the job market for Python roles.
2. Education Q&A: Ask or answer questions about Python courses, certifications, and educational resources.
3. Workplace Chat: Share your experiences, challenges, or success stories about using Python professionally.

---

## Guidelines:

- This thread is not for recruitment. For job postings, please see r/PythonJobs or the recruitment thread in the sidebar.
- Keep discussions relevant to Python in the professional and educational context.

---

## Example Topics:

1. Career Paths: What kinds of roles are out there for Python developers?
2. Certifications: Are Python certifications worth it?
3. Course Recommendations: Any good advanced Python courses to recommend?
4. Workplace Tools: What Python libraries are indispensable in your professional work?
5. Interview Tips: What types of Python questions are commonly asked in interviews?

---

Let's help each other grow in our careers and education. Happy discussing! 🌟

/r/Python
https://redd.it/1f98kuz

D Efficient way to store large datasets

I’m collecting trajectories for imitation learning (RL) and each trajectory is about 1500 time steps long, consists of 4 image streams of about 600x600 pixels.
Obviously, the dataset size grows extremely quickly with the number of trajectories.

What are some good libraries for efficiently (in terms of disk space) storing such data? I tried h5py with level 9 gzip compression but the files are still way too large. Is there a better alternative?

Saving and loading times do not really matter.

Most resources online are aimed at efficiently loading large datasets or handling them in memory which is not relevant for my question.

I already use uint8 as datatype for the rgb streams.

/r/MachineLearning
https://redd.it/1f951p8

Yet another 12 factor configuration helper : python-direnv

Hi Python! I've developed another app to manage environment variables.

# What My Project Does

This allows you to `load_direnv()` your environment variables like `load_dotenv()`, once you allow them through `direnv`, but unlocks the full power of the bash shell instead of being limited to basic key-value pairs. Contributions welcome (the package is not yet on Pypi.org, working on it) !

# Target Audience

If you are developing using the 12 factor app principles and are a user or direnv, Nix, or Guix you might want to check out this package I just wrote : https://github.com/nicolas-graves/python-direnv

# Comparison

This package is actually quite different to other similar projects. It doesn't use a parser but loads environment variables based on shell environment changes. This allows for instance full environment configuration using Nix or Guix for instance, thus providing a way to load a complete environment from a simple `__file__` variable, in any Python project. I have another project on the way that needed this for real-life application ;)



/r/Python
https://redd.it/1f9jfgv

simple project suggestion

i don't know if this is the place to ask this but can you suggest a github repo of a simple (not necessarily) django project that inside it users can enter their information inside a form and then the website has a section that displays all these users somewhere, anything remotely close to this is good enough i'll change it up a little bit, its a project for my teacher but i don't have a lot of time to do it all myself, just need a simple local project, Thank you in advance

/r/django
https://redd.it/1f9j943

I've been tracking Python, Django, NumPy and several other frameworks in job listings this year

Hi all, I built a website to track programing languages/skills/frameworks in jobs.
Perhaps unsurprsingly Python is by far the biggest category in software engineering:

I'm tracking many other Python frameworks and libraries as well:

[Django](https://job.zip/trend/django)
Scikit-learn
[NumPy](https://job.zip/trend/numpy)
Flask
[FastAPI](https://job.zip/trend/fastapi)
Keras
[MicroPython](https://job.zip/trend/micropython)
Ruff

I hope this is of some use of you, if there's another framework you'd like me track, please let me know!

Also there's a Python component as well, I use Python to identify trends in my dataset. Every month I load up 10 million new jobs and compare them with the months before to identify new types of jobs to add to the site.

/r/Python
https://redd.it/1f9l9zt

Python Libraries to Extract Table from PDF

Here's a blog with a tutorial using multiple Python libraries to extract tables: https://unstract.com/blog/extract-tables-from-pdf-python/

Video tutorial: https://www.youtube.com/live/YfW5vVwgbyo?t=2799s

/r/Python
https://redd.it/1f9fv7y

nb2dash: Convert Jupyter notebooks to interactive dashboards with WASM

Hey r/ipython! Today, I'm lauching nb2dash, a tool to convert Jupyter notebooks into dashboards, and I'd love to get your feedback.

https://nb2dash.ploomberapp.io

You can see a sample dashboard here: https://nb2dash.ploomberapp.io/notebook/bb8086c0

https://reddit.com/link/1f9rajw/video/hr40j3dht0nd1/player



# What it does

Upload your Jupyter notebook (.ipynb file)
Get back a link to an interactive dashboard version of your notebook

# Target Audience

Data practitioners who want to easily share an interactive analysis, machine learning model or any other interactive app.

# Key features

Free to use: No sign-up required
Easy: Just drag and drop your notebook file
Quick: Processing usually takes 1-2 minutes
Shareable: Get a link you can send to anyone

# Tech stack

Flask for the web app (receive uploads and process notebook)
NGINX for rendering processed notebooks
Voici for converting notebooks into standalone WASM pages
Redis and rq for task queueing

# Comparison

When people want to share a notebook, they often convert it into HTML or PDF. However, this is hinders interactivity. Alternatively, you might use Voila to deploy it as a web app but that requires paying to a hosting provider. Voici uses WASM, meaning your notebook is a static site and all compute happens locally, reducing cost by a huge margin. Note that WASM and Voici are still early technologies

/r/IPython
https://redd.it/1f9rajw

One more Question

in jupyter notebook when i try to save a photo for object detection it shows this error:

<string>:1: SyntaxWarning: invalid escape sequence '\w'

even when i try to set variables

Does anyone know the reason?

/r/IPython
https://redd.it/1f9lwqd

PEP695 Migration Tool

Now that PEP 695 is a little over 2 years old and it has been almost a year since it was officially introduced in python 3.12, the new type parameter syntax will slowly become the standard way of defining TypeVars, ParamSpecs and TypeVarTuples as well as creating Type aliases with the type keyword. After I spent some time using python the last couple of weeks, I realized that adapting "old" projects of mine to the new syntax really takes more time than I'm willing to invest, especially as some have a pretty large codebase.

# What My Project Does

This is why the past few days I spent time building pep695, a tool that automatically rewrites code to conform to PEP 695 syntax for you.

Install pep695 using pip:
pip install pep695

Format code using pep695 format <path1> <path2> <pathN> ... [-p | --parallel] or just check for errors using pep695 check <path1> <path2> <pathN>. I just published this project today which is why I'm still looking for people to test this project on their own codebase, doesn't matter if it's small or large, any feedback is appreciated!

More info, including examples of code that pep695 can rewrite for you on the github repo:
https://github.com/yowoda/pep695

# Target

/r/Python
https://redd.it/1f9uai8

Any tips for courses with a full application that aren't on video?

I recently discovered William Vincent's book which is a step by step application, starting with Docker, I'm looking for things like that because it's a way to learn DevOps as well. However, most of them are Udemy courses, and video is more complex!

Note: The only problem with the book is that it's from 2019, but I'll adapt to the time.

/r/django
https://redd.it/1f9r2h6

Interactive Mapping with ipyopenlayers
https://blog.jupyter.org/interactive-mapping-with-ipyopenlayers-2b8bc93bb6c4

/r/IPython
https://redd.it/1f9r0hs

Hey Django community, I heard a lot of you use PostgreSQL! If you do, please take a moment and fill out the 2024 State of PostgreSQL Survey. It's created for the community, by the community; the more responses, the more accurate and helpful the results. Any questions or comments? Let's talk!
https://form.typeform.com/to/wtUFIZwA

/r/django
https://redd.it/1fa298d

[P] This week, I implemented the paper, "Pay Attention to MLPs", in Tinygrad! :D

To experiment with more interesting model architectures, I implemented gMLP in Tinygrad!

If anyone wants to give some feedback, it will be welcomed.

* \[Repository\]: [https://github.com/EthanBnntt/tinygrad-gmlp](https://github.com/EthanBnntt/tinygrad-gmlp)
* \[Installation\]: `pip install gmlp_tinygrad`
* \[Original Paper\]: [https://doi.org/10.48550/ARXIV.2105.08050](https://doi.org/10.48550/ARXIV.2105.08050)

[A diagram showing the gMLP architecture](https://preview.redd.it/3s58nla804nd1.png?width=330&format=png&auto=webp&s=3f00f8364e9e0ac00da13ce28199d59330ebaef3)

/r/MachineLearning
https://redd.it/1fa5kop

Friday Daily Thread: r/Python Meta and Free-Talk Fridays

# Weekly Thread: Meta Discussions and Free Talk Friday 🎙️

Welcome to Free Talk Friday on /r/Python! This is the place to discuss the r/Python community (meta discussions), Python news, projects, or anything else Python-related!

## How it Works:

1. Open Mic: Share your thoughts, questions, or anything you'd like related to Python or the community.
2. Community Pulse: Discuss what you feel is working well or what could be improved in the /r/python community.
3. News & Updates: Keep up-to-date with the latest in Python and share any news you find interesting.

## Guidelines:

All topics should be related to Python or the /r/python community.
Be respectful and follow Reddit's Code of Conduct.

## Example Topics:

1. New Python Release: What do you think about the new features in Python 3.11?
2. Community Events: Any Python meetups or webinars coming up?
3. Learning Resources: Found a great Python tutorial? Share it here!
4. Job Market: How has Python impacted your career?
5. Hot Takes: Got a controversial Python opinion? Let's hear it!
6. Community Ideas: Something you'd like to see us do? tell us.

Let's keep the conversation going. Happy discussing! 🌟

/r/Python
https://redd.it/1fa1gk2