What's the difference between is and == in Python?

The == operator checks whether the values of two objects are equal. In contrast, is determines whether variables refer to same object in memory. That is, == compares the content, while is checks the identity of the objects 🐍🔍

#Python #Programming #Coding #Developer #Tech #Learning

✨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

🚀 Looking for a portfolio-ready NLP project?

I recently published an end-to-end walkthrough on Towards Data Science using Kaggle’s Spooky Author Identification dataset.

You’ll see how far classical NLP can go with:

📝 Bag-of-Words and TF-IDF
🔤 Character n-grams
📊 Model comparison
🧩 Ensemble stacking

It’s a practical project for anyone preparing for an ML/DS role, with no deep learning required. I walk through the entire workflow step by step:

🔗 https://towardsdatascience.com/how-far-can-classical-nlp-go-from-bag-of-words-to-stacking-on-spooky-author-identification/

💡 Replacing if-else with Match-Case

Starting with Python 3.10, we have a powerful tool: Structural Pattern Matching (match-case). This is not just an analog of switch-case from other languages; it's much more flexible. 🚀

Imagine you're writing a command handler for a bot. 🤖

❌ How NOT to do it:

def handle_command(command):
    if command == "start":
        return "Hello! I'm a bot."
    elif command == "help":
        return "Here's a list of available commands..."
    elif command == "stop":
        return "Goodbye!"
    else:
        return "Unknown command."

⚡ How to do it properly:

def handle_command(command):
    match command:
        case "start":
            return "Hello! I'm a bot."
        case "help":
            return "Here's a list of available commands..."
        case "stop":
            return "Goodbye!"
        case _:  # The underscore symbol catches everything else (default)
            return "Unknown command."

The code looks like a clear table, and your eye doesn't get caught up in a bunch of elif statements. 🧐
You can pass data structures in the case statements and check their structure and content on the fly. 🔍
It's easy to combine cases. 🧩

#Python #Programming #MatchCase #CodingTips #Python310 #Developer

✨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

✨ Unpacking the remaining elements 🧩

Sometimes you need to extract the first and last elements from a list, while grouping everything in the middle separately. Instead of struggling with slicing ([1:-1]), use the asterisk (*). ⭐️

data = ["CEO", "Middle Python Dev", "Junior Dev", "QA", "HR"]

# The asterisk automatically collects everything "extra" into a separate list.
boss, *team, hr = data

print(boss)    # CEO
print(team)    # ['Middle Python Dev', 'Junior Dev', 'QA']
print(hr)      # HR

#Python #Coding #DataScience #DevLife #Programming #Tech

✨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Cheat sheet on Python Frameworks:

Django: A full-featured web framework with built-in ORM, admin panel, and security features.

Flask: A lightweight microframework with a minimal set of features and high flexibility.

ORM & Admin: Built-in to Django, but need to be connected separately in Flask.

Security: Django has built-in security mechanisms, while in Flask, they need to be configured manually.

Testing: Django offers built-in testing tools, while Flask relies on third-party libraries.

Use Cases: Django is suitable for large and complex projects, while Flask is better for small applications, APIs, and prototypes.

#Python #WebDev #Django #Flask #Backend #Programming

✨ Join Best TG Channels https://t.iss.one/addlist/0f6vfFbEMdAwODBk

⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

Create your own AI assistant for free in 5 minutes.

It's a familiar problem: everyone wants a personal AI assistant, but building one from scratch usually means servers, API keys, integrations, maintenance, and a ton of technical overhead.

Amplify takes care of all of this for you. In about 5 minutes, you'll have a personal AI agent connected to your Google account—Gmail, Drive, Calendar, Docs, Slides, Sheets, and more. Google integration is officially verified.

🗣You can communicate with your assistant anywhere: Telegram, WhatsApp, Slack, WeChat, or Discord.

It can help with email, draft replies to text or voice messages, send emails, set reminders, create and manage spreadsheets, generate images, create videos, edit short videos, work with PDFs, Notion, Obsidian, and much more.

Dozens of skills are already available, and the list is constantly growing. If you need a custom skill for your workflow, business, or team, the Amplify team will quickly develop and implement it.

The pricing is simple: $10 per month plus pay only for the features you actually use. No confusing token system—the cost of each action is clearly displayed in your dashboard.

And if you already have a ChatGPT subscription, you can sign up and essentially avoid paying separately for the AI ​​model.

😎For subscribers: use the promo code and get two months free + $10 credit to your balance.

After registering, you'll receive your own promo code. If someone else signs up with it, you'll get an extra month free.

Try Amplify here: https://getamplify.team/
Promo code: CODEPROGRAMMER

The first bot in the world of Telegram that offers free coupons, free certificates, and job opportunities based on AI https://telegram.me/UdemySybot

🔰 Comprehensions in python with example