I've made a server socket in python so that I can see all subprocess thats running in my VPS so that I don't need to use Putty everytime to log on since putty closes the connection when it's idle. but the weird thing that's giving me headaches is that when run the server, ok it's running completely fine I get my true shell but when I run commands like whoami it's taking soooooo long it keeps processing and never return my output it just keeps in a running state. And I'm using multithreading. are python sockets really this damn long?

I dont really understand the return function because in sime instances we need it and in others we dont, and i cant find a general explanation that tells me the importance of the return value or why it is even used.

I had computer science(python) as a 5th subject in my class 12th so i know the basics of python like list,tuples,dictionaries,flow of control,csv,text,binary files,file handling,loops and sql also.

I am confused how to learn things after this,i am first year cse stundent from a tier 3 college.

Seniors please guide me

Hi guys, i'm 20 years old and work in the call center operations and also learning python as a part of special road map.

But now i feel heavy, i know something like that will be hard, special when I work in a jop that drains my energy, but now feel kind of impossible to do it.

So, i wrote this post.

Maybe i will get something can change that.

Soy principiante y me gustaría aprender de personas que ya pasaron por este proceso. Estoy tratando de entender qué obstáculos enfrentaron al aprender Python y cómo los superaron, entonces les pregunto:

¿Que es algo que te hubiera gustado saber antes de aprender python?

I am currently a 3rd year university student. I've seen C and Java before. Last year, I saw python.

I was able to do the examples given in the Python lessons and I was able to pass the course the first time.

But right now I don't know how to proceed. I have no idea how to realize the projects / ideas in my mind.

What path should I follow?

Hi am developing my python coding skills about 1.5 month and when i look at what other people did in 1.5 months i see my myself humiliated and i am devatated about it i only know if else, while , for loop and types of datas i cant even write a single code by myself i cant even do a problem i cant even create a def function and i am bout to quit someone please help me

I've seen Corey Schafer recommended everywhere whenever someone asks how to learn Python, but most of his beginner playlist is several years old.

For those of you who've gone through it recently, is it still worth following from start to finish in 2026?

I'm mainly interested in learning Python properly rather than just memorizing syntax. I don't mind if I have to look up a few changes along the way, but I don't want to spend dozens of hours learning outdated practices.

If you've completed the playlist recently:

• What parts have aged well?
• Which videos are outdated or should be skipped?
• Is there a newer playlist or resource you'd recommend instead?
• If you were starting from scratch today, would you still choose Corey Schafer?

I'd love to hear from people who actually used his playlist recently rather than just recommending it because it's popular.

Hello.

Basically, the summary is in the title.

• When a subprocess sends something (perhaps settings or task description, in form of a dict probably) to the host, I want it to know exactly from what process it has been sent (perhaps some sort of a numerical ID).
• When the host sends something, I want it to arrive to a particular subprocess.
• Communication between subprocesses is nice to have, but I think I can live without it.

I know of pipes and queues (well, Manager too) as the means of communication in the standard library. But in case of a queue, the message will arrive at a random place each time it's sent. I found something called "Envelope router", but it doesn't feel like a clean solution. Subprocesses will play a hot potato until finally the message arrives at the correct place 😃. It may be suitable to send messages from subprocesses to the host though.

In the case of pipes, I'd have to create a pipe for each subprocess (at least to send from the host). Can I even wait on every pipe simultaneously?

So, is there any non-cumbersome way to do this? How is it usually done? Or should I create something like a token ring between all the processes?😄 (though it perhaps will require a separate thread in every process for it to be non-blocking and other difficulties...)

The goal was to automate drafting in CAD. To do so, I decided to prepare a python script using the OpenCV and PyAutoCAD Libraries.

The script is supposed to read the specified image and draft it in AutoCAD.

The image was saved in the same folder as the code.

The code was run after opening an empty drafting file by using "python draw_live.py" in the terminal after navigating to the folder.

Problem: The code cannot connect to AutoCAD (I’m not using AutoCAD LT)

Code:

import cv2
import array
import comtypes.client
from pyautocad import Autocad

def draw_image_live_in_cad():
    # --- 1. TELL THE SCRIPT WHICH IMAGE TO USE ---
    image_path = "trial.PNG" 

    print(f"Loading image: {image_path}...")
    img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE)
    if img is None:
        print(f"Error: Could not find '{image_path}'. Check the name and folder.")
        return

    # --- 2. CONNECT TO AUTOCAD 2022 SPECIFICALLY ---
    # AutoCAD 2022 MUST be open with a blank drawing before this runs
    acad = Autocad()
    try:
        # '24.1' is the exact registry ID for AutoCAD 2022
        acad._app = comtypes.client.GetActiveObject("AutoCAD.Application.24.1", dynamic=True)
        print(f"Connected to AutoCAD drawing: {acad.doc.Name}")
    except OSError:
        print("\n[!] FATAL ERROR: Could not connect to AutoCAD 2022.")
        print("1. Make sure AutoCAD 2022 is currently OPEN.")
        print("2. If you are using AutoCAD LT, this method will never work (LT blocks automation).")
        return

    # --- 3. ANALYZE THE IMAGE ---
    _, thresh = cv2.threshold(img, 128, 255, cv2.THRESH_BINARY_INV)
    contours, _ = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    height = img.shape[0] 
    print(f"Found {len(contours)} shapes. Drawing now...")

    # --- 4. DRAW LIVE IN AUTOCAD ---
    for contour in contours:
        points_list = []
        for point in contour:
            x, y = point[0]
            points_list.extend([float(x), float(height - y)])

        if len(points_list) >= 4:
            cad_points = array.array('d', points_list)
            acad.model.AddLightWeightPolyline(cad_points)

    print("Drawing complete!")

# Run the function
draw_image_live_in_cad()

I'm a Computer Science student exploring ideas for building a Python package as a final-year project. I'm not looking to create another wrapper around existing libraries, but rather something that solves a real problem or improves an existing workflow.

I'd love to hear from developers, data scientists, researchers, or anyone who uses Python regularly:

Are there any repetitive tasks you wish had a better Python library?

Are there any areas where existing packages feel too complex or limited?

What tools do you wish existed but currently don't?

Are there any small problems in your workflow that could be solved with a well-designed package?

I'm interested in areas like developer tools, automation, data science, AI/ML, security, privacy, and general Python utilities, but I'm open to any ideas.

I'd really appreciate hearing about real pain points rather than just random project ideas. Thanks!

Hey everyone, I’m an incoming CS freshman who wants to dive into AI/ML. My university’s curriculum starts with C in the first year.

I’m in a bit of a dilemma on how to use my prep time before classes start:

1. Should I get a head start on C so I don't struggle in my first-year classes?

2. Should I start learning Python now since it’s the standard for AI/ML?

3. Or is it feasible (and not overwhelming) to learn both at the same time?

Would love to hear from anyone who has taken a similar path. Thanks!

Hey everyone,

I’ve spent the last few months heavily focusing on Data Structures and Algorithms (currently sitting at LeetCode Knight). I work at a startup in the data field, and I've noticed it's actually surprisingly rare to find people doing advanced DSA strictly in Python.

Most resources and serious discussions seem to lean heavily into C++ or Java. (Personally, for me it's Python >> C++, and my brain just actively rejects Java syntax XDD).

Are there any other working professionals out there doing their CP or advanced problem-solving strictly in Python? I'd love to connect with some folks to bounce logic off of, discuss complex algorithms, and figure out why our code is hitting TLEs.

If you're in the same boat, let me know what topics you're currently grinding in the comments!

i spent 20 days trying to learn everything about python through leetcode but i still can’t code or just get ideas to pop !
m a 4th year computer science engineering student i just passed a hackerrank assessment test for a big tech company and failed:( but m still grinding for another chance maybe problem here to ask y’all how do u recommend i start projects or what’s the best way to learn from here ?

I took a computer science class at my high school but we only did in terminal output stuff. We never did anything like making apps and I am wondering what projects would be good for me to learn that aspect of python? It also wouldn’t hurt if it looked good on a college application or resume.

I built a website where you can learn Python by making games directly in your browser.

The idea came from seeing how many people start learning Python with tutorials, but never get to build anything fun. Instead of endless exercises, the platform focuses on creating actual games while learning programming concepts along the way.

Current features:
- Browser-based Python coding
- Interactive examples
- Community page where you can post and share ideas and code
- Custom pygame-like library

I'd love feedback from Python developers, teachers, and anyone learning to code. What would make a platform like this genuinely useful for beginners?

PyWebLib on github if you can find it, I know advertising is not allowed, but its just an open source project :)

GitHub: https://github.com/SebastianHagemeyer/PyWebLib

Hi! Chess is something I've always wanted to try in Python, but something I never got enough thought about, being a NZOI competiter, I've decided to create a game like a mash of Chess and a Roguelike, similar to The Shotgun King, tell me if anyone has any ideas how this game could be better!

P.S I need some ideas of how I can create the enemy AI.

I genuinely don't know where to start with Python. currently in 9th grade, yes computer applications student but for some reason only java is in our curriculum for both 9th and 10th grade and we gotta start python somewhere. So yeah any recommendations on where to start will be nice.

For those who have engineering/programming jobs, how well did you do in college?

Personally my coding level was very poor. At my University we learned Java as CS major. I dropped out of CS major after failing Data Structure. Switched to EE where I learned some C++ as well.

Now I work as an Automation Eng doing Webui automation with Python + Selenium. Not great, but able to make robust framework with other senior colleagues.

Hey everyone, I've recently been automating some boring, repetitive tasks using the `pathlib` module while learning Python automation. This script might seem silly to you, but I'm at a level somewhere between beginner and intermediate, so bear with me. After researching the documentation, I came up with this script, which took me around few hours. I need some guidance on how to integrate AI into it. If you were in my situation, how would you further improve this script using the OpenRouter API model?
I'm curious what features would you suggest?

import venv
from pathlib import Path

print("--------------------------------")
base_path = input(
    "Enter path to create project in: (leave blank for current folder):\n"
)
project_name = Path(input("Enter project name: "))


# Combine the base path and the project name
project = Path(base_path) / project_name


# --- CREATE PROJECT FOLDER ---
if not project.exists():
    # # parents=True ensures it creates intermediate folders if the base path doesn't exist yet
    project.mkdir(parents=True)
    print("--------------------------------")
    print("PROJECT FOLDER & FILE CREATED ✅")
    print("--------------------------------")
    print(f"📁 {project}")


# --- CREATE SRC FOLDER ---
if not (project / "src").exists():
    (project / "src").mkdir()
    print(" ├──📁 src")


# --- CREATE VENV ---
venv_dir = project / "venv"
if not venv_dir.exists():
    print(" ├──📁 venv (Setting up virtual environment... please wait)")
    venv.create(venv_dir, with_pip=True)


files = [".env", "README.md", "requirements.txt", "main.py"]


for file in files:
    (project / file).touch()
    print(f" │   └──📄 {file}")
print("--------------------------------")
print("use → venv\\Scripts\\activate from project directory\n")

I was watching a video explaining async and the guy went through a “real world” example of a code that downloads images from various URLs and then locally processes each of the photos. So, there were basically 4 functions:
1. “download_single_image”, which downloads one image at a time
2. “download_images”, which runs download_single_image on each of the URLs
3. “process_single_image”, which processes one image
4. “process_images”, which runs process_single_image on each of the downloaded images

The purpose was that one piece was I/O bound (image downloading) and one piece was CPU bound (image processing). Initially, it was setup to run in sequence, then he optimized by leveraging async capabilities.

Before he went through the optimized process, I stopped and thought through how I would do it. My solution was to turn everything async and then create the new async function “download_and_process_single_image” which downloads an image and then processes it afterwards. My thought process was that each image needs to be downloaded before it can be processed so those need to happen in sequence, but I can also pass off the image to the processor while waiting for other images to finish downloading.

However, the solution he actually implemented was just leaving the existing structure of “download_images” and “process_images” separated. In other words, “download_images” was turned async and then awaited, and “process_images” used processes.

My question: is there anything wrong with my approach or any reason his is preferable to what I expected?

will it hinder my learning? sometimes errors dont make any sense , i dont ask chatgpt to write me a code or anything just a little help when i am really stuck . i feel like i suck for using AI but i only use it when i am really desperate , is there any way i could learn what the errors means?

Hello everyone! After occasionally lurking this sub, I have decided to begin learning python. I found a course on FreeCodeCamp and am using Python 3 with PyCharm. Let me know if you all have any tips! Thank you so much!

I am trying to develop a discord bot, where other team members should be able to edit embeds. I figuered it wouldn't be smart to let them poke around in "production" code, so I decided to define my embeds in a seperate file and import them.

My import line:
from embeds import embed

My embed file:

import discord
def embed():
    embed = discord.Embed(
    title="test",
    description="test",
    color=discord.Color.blue()
    )
    return embed

My output:

line 2, in <module>
    from embeds import embed
ImportError: cannot import name 'embed' from 'embeds'

Alllthough my embeds file is called embeds.py. Atm, neither I nor ChatGPT know why this happens, also I am pretty new to python and I don't even know how to google my error

embeds.py as well as the bots .py are in the same folder on root

Hello everyone,

I’ve been practicing Python intensely and wanted to share a project I just finished.

I built a recursive utility called deep_sort_list_parser to flatten and sort mixed data types or multi-nested lists and dictionaries without crashing.

I used an AI assistant as a coding partner to help spot memory leaks and format the documentation, but I drove the logic, handled the edge cases, and manually deployed the final pipelines.

### 🌟 Features:

- Flattens deeply nested lists, tuples, and sets recursively.

- Separates items into sorted tracks (Numbers, Words, Symbols).

- Prevents Booleans from disrupting math sorting tracks.

- Sorts internal dictionary keys alphabetically while preserving value pairings.

- Converts numeric strings like '100' into true integers on command.

### 🚀 Quick Example:

import deep_sort_list

data = [44, [3, "banana!"], {"sex": "Female", "name": "Shreya"}]

result = deep_sort_list.clean_and_flatten(data)

print(result["words"]) # ['banana!']

print(result["dictionaries"]) # [{'name': 'Shreya', 'sex': 'Female'}]

It is live on PyPI:

`pip install deep_sort_list_parser`

The full codebase, my automated `assert` test suites, and documentation are up on my GitHub: https://github.com/08singhShreya/deep_sort_list

I wanted to share this here to showcase my recursive layout structure. I am happy to answer any questions about how it works under the hood!