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لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 نظرة تحليلية على قناة تيليجرام Learn Python Coding

تُعد قناة Learn Python Coding (@pythonre) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 40 878 مشتركاً، محتلاً المرتبة 3 287 في فئة التكنولوجيات والتطبيقات والمرتبة 9 164 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 40 878 مشتركاً.

بحسب آخر البيانات بتاريخ 29 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 336، وفي آخر 24 ساعة بمقدار 1، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 5.33‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.52‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 2 179 مشاهدة. وخلال اليوم الأول يجمع عادةً 622 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 3.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل math, harvard, oxford, supervision, waybienad.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 30 أكتوبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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✨ local variable | Python Glossary ✨ 📖 A variable that you bind inside a function or method body. 🏷️ #Python

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✨ introspection | Python Glossary ✨ 📖 The ability of a program to examine the type or properties of an object at runtime. 🏷️ #Python

✨ How to Integrate Local LLMs With Ollama and Python ✨ 📖 Learn how to integrate your Python projects with local models (LLMs
✨ How to Integrate Local LLMs With Ollama and Python ✨ 📖 Learn how to integrate your Python projects with local models (LLMs) using Ollama for enhanced privacy and cost efficiency. 🏷️ #intermediate #ai #tools

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🔥 Generating fake data in Python — no pain at all If you're testing forms, mockups, or just want to play with data, there's
🔥 Generating fake data in Python — no pain at all If you're testing forms, mockups, or just want to play with data, there's Mimesis — a generator of fake data. Names, emails, addresses, and phone numbers. There's a location setting that allows you to select a country, and the data will be generated accordingly. 📦 Installation:
from typing import Dict
from mimesis.enums import Gender
from mimesis import Person

def generate_fake_user(locale: str = "es", gender: Gender = Gender.MALE) -> Dict[str, str]:
    """
    Generates fake user data based on the locale and gender.

    :param locale: The locale (for example, 'ru', 'en', 'es')
    :param gender: The gender (Gender.MALE or Gender.FEMALE)
    :return: A dictionary with the fake user data
    """
    person = Person(locale)

    user_data = {
        "name": person.full_name(gender=gender),
        "height": person.height(),
        "phone": person.telephone(),
        "occupation": person.occupation(),
    }

    return user_data

if __name__ == "__main__":
    fake_user = generate_fake_user(locale="es", gender=Gender.MALE)
    print(fake_user)
📌 Result:
{
  'name': 'Carlos Herrera',
  'height': '1.84',
  'phone': '912 475 289',
  'occupation': 'Arquitecto'
)
⚡️ Mimesis can: 🖱 Generate names, addresses, phone numbers, professions, etc.  🖱 Work with different countries (🇷🇺 ru, 🇺🇸 en, 🇪🇸 es, etc.)  🖱 Suitable for tests, fake accounts, demo data in projects, and bots. ⚙️ GitHub/Instructions Save it, it'll come in handy 👍 #python #github #interview

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😰 A repository of more than 100+ ready-made Python scripts that solve a bunch of tasks - without reinventing the wheel and s
😰 A repository of more than 100+ ready-made Python scripts that solve a bunch of tasks - without reinventing the wheel and suffering at night. 💬 parsing and searching on the internet; 💬 working with photos and videos; 💬 keyloggers and password managers; 💬 cloning websites; 💬 automating routines; 💬 and dozens of other useful things for real cases. 🔥 Ready-made practice + code, suitable for both learning and work. ⬇️ Save it, it will definitely come in handy! #python #soft #github

✨ global variable | Python Glossary ✨ 📖 A variable defined at the top level of a module. 🏷️ #Python

💻 GHOSTCREW — A Python AI tool for penetration testers and security professionals that conducts vulnerability searches in any services. It works like a red team within your system. You describe the task in plain language — then it plans the attack itself, selects tools, and proceeds through the entire process: from reconnaissance to reporting. Without manual fiddling and endless commands. What it can do in practice: ➡️ Checks everything: code, business logic, network traffic, protocols. ➡️ Analyzes the found vulnerabilities and explains where the problem is and how to fix it. ➡️ Works autonomously — you just launch it and get a full-fledged research. ➡️ Connects MCP servers and tools (nmap, metasploit, ffuf, etc.) itself. ➡️ Uses Pentesting Task Trees for meaningful decision-making, not just brute force. ➡️ Supports ready-made workflows for comprehensive checks. ➡️ Generates detailed reports in Markdown with facts and recommendations. ➡️ Remembers the dialogue context and doesn't "get lost" after a couple of requests. ➡️ Sees real files: wordlists, payloads, configs — and uses them in its work. ➡️ Allows you to choose an AI model and customize its behavior. ➡️ No registration and no restrictions. ⚙️ Installation:
git clone https://github.com/GH05TCREW/ghostcrew.git
cd ghostcrew
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
▶️ Usage:
python main.py
⚠️ The information is provided solely for informational purposes. And it encourages to pay attention to security issues. ♎️ GitHub/Instructions #python #soft #github

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🐵Meet Fotbo — the VPS with a monkey mascot and zero BS. The deal: Fast NVMe storage, European servers, full control. No surp
🐵Meet Fotbo — the VPS with a monkey mascot and zero BS. The deal: Fast NVMe storage, European servers, full control. No surprise bills, no corporate jargon, no waiting days for support. The specs: ⚡ NVMe SSD that actually makes a difference 🌍 Netherlands • Poland • Germany 💰 Starting at €4.80/month (yeah, really) 🔧 Do whatever you want — it's your server 📊 Outperforms AWS, DigitalOcean & Vultr in benchmarks Perfect for: Training neural networks without selling your kidney. Running Jupyter 24/7. Testing that crazy idea at 3 AM. Deploying models that actually need to scale. Scraping data without rate limits ruining your day. 🎁 -35% OFF FIRST MONTH Coupon: MONKEY35 https://fotbo.com/ Built by devs who got tired of overpriced cloud providers. Also, there's a monkey 🐒

✨ concatenation | Python Glossary ✨ 📖 The operation of joining two or more strings end-to-end to create a new string. 🏷️ #Python

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This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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