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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
Show moreπ Analytical overview of Telegram channel Learn Python Coding
Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 39 139 subscribers, ranking 3 511 in the Technologies & Applications category and 10 584 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 39 139 subscribers.
According to the latest data from 06 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 433 over the last 30 days and by 10 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.57%. Within the first 24 hours after publication, content typically collects 1.00% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 004 views. Within the first day, a publication typically gains 393 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
- Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn 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_Sheikhoβ
Thanks to the high frequency of updates (latest data received on 08 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
39 139
Subscribers
+1024 hours
+887 days
+43330 days
Posts Archive
39 140
Repost from Tech Jobs Hub
π₯ Generating fake data in Python β no pain at all
If you're testing forms, mockups, or just want to play with data, there's Mimesis β 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.
π¦ 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, πΊπΈ en, πͺπΈ es, etc.)
π± Suitable for tests, fake accounts, demo data in projects, and bots.
βοΈ GitHub/Instructions
Save it, it'll come in handy π
#python #github #interview
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π° A repository of more than 100+ ready-made Python scripts that solve a bunch of tasks - without reinventing the wheel and suffering at night.
π¬ parsing and searching on the internet;
π¬ working with photos and videos;
π¬ keyloggers and password managers;
π¬ cloning websites;
π¬ automating routines;
π¬ and dozens of other useful things for real cases.
π₯ Ready-made practice + code, suitable for both learning and work.
β¬οΈ Save it, it will definitely come in handy!
#python #soft #github
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β¨ global variable | Python Glossary β¨
π A variable defined at the top level of a module.
π·οΈ #Python
39 140
π» GHOSTCREW β 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 β 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:
β‘οΈ Checks everything: code, business logic, network traffic, protocols.
β‘οΈ Analyzes the found vulnerabilities and explains where the problem is and how to fix it.
β‘οΈ Works autonomously β you just launch it and get a full-fledged research.
β‘οΈ Connects MCP servers and tools (nmap, metasploit, ffuf, etc.) itself.
β‘οΈ Uses Pentesting Task Trees for meaningful decision-making, not just brute force.
β‘οΈ Supports ready-made workflows for comprehensive checks.
β‘οΈ Generates detailed reports in Markdown with facts and recommendations.
β‘οΈ Remembers the dialogue context and doesn't "get lost" after a couple of requests.
β‘οΈ Sees real files: wordlists, payloads, configs β and uses them in its work.
β‘οΈ Allows you to choose an AI model and customize its behavior.
β‘οΈ No registration and no restrictions.
βοΈ 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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π΅Meet Fotbo β 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: β‘ NVMe SSD that actually makes a difference π Netherlands β’ Poland β’ Germany π° Starting at β¬4.80/month (yeah, really) π§ Do whatever you want β it's your server π 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.
π -35% OFF FIRST MONTH Coupon: MONKEY35
https://fotbo.com/
Built by devs who got tired of overpriced cloud providers. Also, there's a monkey π
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β¨ concatenation | Python Glossary β¨
π The operation of joining two or more strings end-to-end to create a new string.
π·οΈ #Python
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This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
β
https://t.me/addlist/8_rRW2scgfRhOTc0
β
https://t.me/Codeprogrammer
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πβοΈTODAY FREEβοΈπ
Entry to our VIP channel is completely free today. Tomorrow it will cost $500! π₯
JOIN π
https://t.me/+DBdNGbxImzgxMDBi
https://t.me/+DBdNGbxImzgxMDBi
https://t.me/+DBdNGbxImzgxMDBi
39 140
β¨ camel case | Python Glossary β¨
π A naming convention where the first letter of each word within a compound word is capitalized.
π·οΈ #Python
39 140
β¨ How to Create a Django Project β¨
π 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.
π·οΈ #basics #best-practices #django #web-dev
