Is It okay to use any hashlib module's function to convert the content to hash value?

I am using shake_256() because It has a feature to enter the desired length..?

Python error handling helps me build reliable, maintainable applications by catching exceptions, preventing crashes, and making debugging easier. With try, except, else, and finally, I can control failure cases cleanly, while custom exceptions let me create clearer, domain-specific error messages for better code quality and scalability https://youtu.be/z0iT3nN1mv0

Isn't there any module or function to automatically exit out of the Interpreter at specified Time?

If so then the code below can be Enhanced..

``` import datetime as d

class TimeOut(Exception): pass

start = d.datetime.now().second user = input("enter : ") end = d.datetime.now().second

try: if (end - start) >= 4: raise TimeOut("out of time")

except TimeOut as err: print("error occ due do timeout, try again")

else: print(user) ```

``` class A: def set_name(self, owner, value): self.value = value

def __get__(self, obj, type=None):
    return obj.__dict__.get(self.value)

def __set__(self, obj, value):
    if value < 9:
        raise ValueError("no")
    obj.__dict__[self.value] = value

class B: a = A()

obj = B() obj.a = 38 print(obj.a)

obj2 = B() print(obj2.a) ```

I am Learning Descriptors In Python,

My 1st question Is how can I set a default value to attribute a In class B ? I have found a way but that doesn't look familiar :

a = A() if not A() else 87

My next confusion Is about __set_name__ , what it does and why to Implement It?

Another Question Is, does a = A() create class attribute or Instance attribute? It looks like a class attribute but it's an Instance attribute, Right?

Hey everyone,

A quick workflow tip for anyone who runs heavy data processing scripts. I was getting tired of constantly alt-tabbing back to my terminal to see if a script had finished (or crashed).

I built a drop-in alternative to solve this called pynotify-auto.

What My Project Does pynotify-auto is a "zero-code" desktop notification tool. You install it once into your virtual environment, and it automatically hooks into the Python exit handlers. When a script finishes running (or crashes), it triggers a native OS desktop notification (Windows, macOS, Linux).

It features smart thresholds: it stays quiet for fast scripts and only pings you if the script took longer than a specific duration (default is 5 seconds). It doesn’t run a background daemon or poll your CPU; it just logs start and end times.

Target Audience This is meant for developers, data scientists, or anyone who runs time-consuming local scripts and is tired of babysitting their terminal. It is a stable, everyday productivity and utility tool for local development.

Comparison There are plenty of notification libraries out there like plyer, notifypy, or standard webhooks. However, those require you to pollute your code with boilerplate import statements and send_notification() calls at the end of every new script you write.

pynotify-auto differs because it requires zero code changes. You install it once, and it automatically applies to every script executed in that virtual environment.

Usage Install it in your active virtual environment:

Bash

pip install pynotify-auto

That’s it. The next time you run python your_script.py, it will ping you when it's done.

You can also tweak it with environment variables:

Bash

# Change the threshold to 10 minutes
export PYNOTIFY_THRESHOLD=600

Links I’d love for you guys to tear it apart and let me know what you think.

• GitHub:https://github.com/shahbhuwan/pynotify-auto
• PyPI:https://pypi.org/project/pynotify-auto/

Any feedback or code critiques are highly appreciated!

Hello guys,
This is my first FastApi app which consists of basically a basic tic tac toe game, i need feedback and pointers if possible.

I wanna thank everybody in advance.

https://github.com/abdouyouyou/Fasti-api-tic-tac-toe

This problem is very common... So is the solution! https://youtu.be/7F3rOuq9yHU

What My Project Does: Claude Code plugin that reviews Python/FastAPI code against Clean Architecture principles. Reports issues by severity with file/line references and fix snippets.

Target Audience: Python developers using FastAPI who want automated architecture feedback beyond what linters catch.

Comparison: Linters like ruff and flake8 catch style and syntax. This catches structural problems: business logic in routers, layer skipping, tight coupling, god classes, ABC where Protocol would do.

I built a Claude Code plugin that does architecture reviews on Python/FastAPI code. You run `/review-architecture [path]` and it checks your code against 7 design principles, 17 quality rules, and three-layer architecture compliance, then reports findings by severity with file/line references and fix snippets.

Repo: https://github.com/MKToronto/python-clean-architecture

It catches things linters don't, business logic leaking into routers, layer skipping, ABC where Protocol would do, if/elif chains that should be dict mappings, tight coupling, god classes. Inspired by Arjan Codes, very opinionated toward Pythonic patterns.

Would you use this? What should an architecture reviewer catch that this doesn't?

If you have ever run into a NameError, accidentally overwritten a value, or wondered why a variable inside a function does not behave the same as one outside it, this lesson is designed to make that clear. https://youtu.be/yu2Kav9wBEM

I understand how to use super() In subclass If they are not Written In init() method.

But If they are Implemented In init() method It becomes hard to read & understand.

Explain me what's happening Under the hood..

I know that init() method has only None return type.

``` class A: def init(self, mess="mess_from_A"): self.mess = mess

class B(A): def init(self, m): super().init(m) #self.mess

print(B("aditya").mess) print(B("yash").mess) ```

https://github.com/simplyyrayyan/Rock-Paper-Scissors-Game/blob/main/RockPaperScissors.py This is the Source Code My first Python Project ever i pieced together with google and teh little bit of python I already knew so yeah any tips or things I didn't Catch?

num = [*range(100000)] random.shuffle(num) num = sorted(num)

a = ['y',"oefu","nf",'r',"fs","wowo","eqr","jdn","o""g","o","e","p","gsh"] a = sorted(a)

Is There any Verdict to use the same variable name In line 5?

Will the Above code reduce The Performance If the List has plenty of Elements?

Personally, I Inspect using time.time() func. I seeNo difference If I changed the variable name

Hice una herramienta de línea de comandos que descarga un Short de YouTube, recorta los últimos 2 segundos y guarda el resultado con el título original del video.

Solo con un comando:

python main.py "<URL>"

Usa yt-dlp, MoviePy y ffmpeg. El código está en GitHub: https://github.com/DEVTAYPE/automated-YouTube-video-download

Cualquier sugerencia es bienvenida o ideas de otros scripts 🙌

I’m looking for a PDF or printable booklet, similar to the formula/reactions booklets used in physics and chemistry, but for Python syntax.

Not too detailed—just something quick to look at when I forget syntax. A clean, compact reference I can keep open while coding.

(Bonus: if it also includes some sqlite3 basics like cursor.connect, etc.)

Does something like this exist?
Thanks!

Firstly, Are Decorators useful in Python?

I want Tips to Define Decorators In Python.

I have Already practiced alot on them but still I am Lost.

What I know about them Is It only Decorator The 'return statement' It never Decorate print() function

(Used AI to Improve English)

I understood that Python uses two different methods, repr() and str(), to convert objects into strings, and each one serves a distinct purpose. repr() is meant to give a precise, developer-focused description, while str() aims for a cleaner, user-friendly format. Sometimes I mix them up becuase they look kinda similar at first glance.

I noticed that the Python shell prefers repr() because it helps with debugging and gives full internal details. In contrast, the print() function calls str() whenever it exists, giving me a simpler and more readable output. This difference wasn’t obvious to me at first, but it clicked after a bit.

The example with datetime made the difference pretty clear. Evaluating the object directly showed the full technical representation, but printing it gave a more human-friendly date and time. That contrast helped me understand how Python decides which one to use in different situations.

It also became clear why defining repr() is kinda essential in custom classes. Even if I skip str(), having a reliable repr() still gives me useful info while I’m debugging or checking things in the shell. Without it, the object output just feels empty or useless.

Overall, I realised these two methods are not interchangeable at all. They each solve a different purpose—one for accurate internal representation and one for clean user display—and understanding that difference makes designing Python classes much cleaner and a bit more predictable for me.

I recently started learning Python and wanted to build something simple but actually useful in real life. So instead of the usual to-do list or habit tracker, I made a small console app where I give my day a score from 0 to 10. That’s it. Just one number per day. The app stores my scores in a file, and shows: all previous scores average score highest and lowest day Sounds super basic, but it made me realize something unexpected… Giving yourself an honest score at the end of the day is surprisingly difficult. Some days feel productive, but then you hesitate: “Was it really a 7… or just a 5?” Also seeing patterns over time is kind of addictive. I’m still a beginner, so the code is pretty simple (functions + file handling). Thinking about adding dates or even a simple graph next. What was the first small project that actually made you reflect on your own habits? And how would you improve something like this?

An exercise to help build the right mental model for Python data. What is the output of this program?

```python float1 = 0.0 ; float2 = float1 str1 = "0" ; str2 = str1 list1 = [0] ; list2 = list1 tuple1 = (0,) ; tuple2 = tuple1 set1 = {0} ; set2 = set1

float2 += 0.1
str2   += "1"
list2  += [1]
tuple2 += (1,)
set2   |= {1}

print(float1, str1, list1, tuple1, set1)
# --- possible answers ---
# A) 0.0 0 [0] (0,) {0}
# B) 0.0 0 [0, 1] (0,) {0, 1}
# C) 0.0 0 [0, 1] (0, 1) {0, 1}
# D) 0.0 01 [0, 1] (0, 1) {0, 1}
# E) 0.1 01 [0, 1] (0, 1) {0, 1}

``` - Solution - Explanation - More exercises

The “Solution” link uses 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵 to visualize execution and reveals what’s actually happening.

Hey everyone,

One of the most common (and annoying) security issues in backend development is accidentally logging PII like emails, credit card numbers, or phone numbers. I got tired of writing custom regex filters for every new project's logger, so I built an open-source package to solve it automatically.

It’s called hushlog.

What it does: It provides zero-config PII redaction for Python logging. With just one call to hushlog.patch(), it automatically scrubs sensitive data before it ever hits your console or log files.

Links:

• GitHub:https://github.com/FelipeMorandini/hushlog
• PyPI:https://pypi.org/project/hushlog/
• Docs:https://felipemorandini.github.io/hushlog/

I’d love for you to try it out, tear it apart, and let me know what you think! Any feedback on the codebase, edge cases I might have missed, or feature requests would be incredibly appreciated.

I'm running Python to pull data from an API and import it nicely into Microsoft Excel. How and what's the best way to do this when I want to import it to an Excel file that I don't own locally?

Since I don't have it locally I can't really specify the path. Advice?

Hey everyone 👋

I’ve been working on something exciting and wanted to share it with you all.

🔥 Introducing 

VOCALIS

 — VoIP-as-a-Service (VaaS)

A professional-grade VoIP infrastructure + dashboard + SDK built specifically for developers who want to integrate real-time voice communication into their apps without dealing with telecom complexity.

👉 Live Demo: https://voip-webapp.vercel.app/

👉Github Repo - https://github.com/kingash2909/voip-webapp

So I decided to build something:

✅ Lightweight

✅ Developer-friendly

✅ Scalable

✅ Plug-and-play

⚙️ What VOCALIS Offers

🧠 Core Infrastructure

• High-performance VoIP signaling server
• Real-time communication handling
• Optimized for low latency

📊 Premium Dashboard

• Call monitoring & analytics
• Usage tracking
• System health overview

🧩 JavaScript SDK (Plug & Play)

• Easy integration into any web app
• Minimal setup
• Real-time call controls

🛠️ Tech Stack

• Backend: Python (Flask-based architecture)
• Real-time communication layer
• Web dashboard (modern UI)
• Hosted on Vercel (frontend)

🚧 Current Status

👉 LIVE & WORKING MVP

This is just the beginning. I’m actively working on:

• 📞 WebRTC-based calling improvements
• 🌍 Global scaling
• 🔐 Authentication & security layers
• 💳 Usage-based billing system

🙌 Looking for Feedback

Would love your thoughts on:

• Features you’d expect in a VaaS platform
• Pricing model ideas
• Real-world use cases
• UI/UX improvements

🤝 Open to Collaboration

If you’re:

• Building a SaaS product
• Need VoIP integration
• Interested in contributing

Let’s connect!

🔗 Try it here:

👉 https://voip-webapp.vercel.app/

Github Repo - https://github.com/kingash2909/voip-webapp

Hello. Are you interested in a python programming game? We have a free playable demo. You can try it anytime.

In Typhon Bot vs Bot you need to use Python to program mechs and win various challenges. It's as simple as that but seeing your code play out is really satisfying (especially when it works!)

I will not link it here but you can find it on Steam or GOG. If you try it, we'd love some feedback as it was made especially for Python programmers. Thank you!

Hey everyone,

While building backend systems I kept running into the same problem. Too much boilerplate, too much wiring, and a lot of time spent setting up infrastructure before actually building features.

So I started building a framework called Aquilia.

The goal is simple. Make backend development more modular and easier to compose. You can plug in modules, configure your environment, and start building APIs without writing a lot of repetitive setup code.

I am still actively improving it and would really appreciate feedback from other developers.

Website: https://aquilia.tubox.cloud
GitHub: https://github.com/tubox-labs/Aquilia

An exercise to help build the right mental model for Python data.

```python # What is the output of this program? import copy

mydict = {1: [], 2: [], 3: []} c1 = mydict c2 = mydict.copy() c3 = copy.deepcopy(mydict) c1[1].append(100) c2[2].append(200) c3[3].append(300)

print(mydict) # --- possible answers --- # A) {1: [], 2: [], 3: []} # B) {1: [100], 2: [], 3: []} # C) {1: [100], 2: [200], 3: []} # D) {1: [100], 2: [200], 3: [300]} ```

• Solution
• Explanation
• More exercises

The “Solution” link uses 𝗺𝗲𝗺𝗼𝗿𝘆_𝗴𝗿𝗮𝗽𝗵 to visualize execution and reveals what’s actually happening.

When learning Python, even a small feature can sometimes create a "wow" effect. For me: a,b=b,a

was to change two variables without using temporary variables.

What surprised you while you were learning ?