اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
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
نمایش بیشتر📈 تحلیل کانال تلگرام Learn Python Coding
کانال Learn Python Coding (@pythonre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 39 139 مشترک است و جایگاه 3 511 را در دسته فناوری و برنامهها و رتبه 10 584 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 39 139 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 06 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 433 و در ۲۴ ساعت گذشته برابر 10 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.57% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.00% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 004 بازدید دریافت میکند. در اولین روز معمولاً 393 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 3 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند math, harvard, oxford, supervision, waybienad تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 08 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
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Repost from Tech Jobs Hub
🔥 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){
'name': 'Carlos Herrera',
'height': '1.84',
'phone': '912 475 289',
'occupation': 'Arquitecto'
)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 suffering at night.
💬 parsing and searching on the internet;
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💬 and dozens of other useful things for real cases.
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⬇️ Save it, it will definitely come in handy!
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✨ global variable | Python Glossary ✨
📖 A variable defined at the top level of a module.
🏷️ #Python
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💻 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.txtpython main.py
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🐵Meet Fotbo — the VPS with a monkey mascot and zero BS.
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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 🐒
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✨ 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
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✨ camel case | Python Glossary ✨
📖 A naming convention where the first letter of each word within a compound word is capitalized.
🏷️ #Python
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✨ How to Create a Django Project ✨
📖 Learn how to create a Django project and app in clear, guided steps. Use it as a reference for any future Django project and tutorial you'll work on.
🏷️ #basics #best-practices #django #web-dev
