ar
Feedback
PythonNotes

PythonNotes

الذهاب إلى القناة على Telegram

Best Place for Learning Python Programming Free Notes of Programming languages 👇 • Python • Java • JavaScript • C • C++ Free Courses & Job Updates ☑️🔎🆓

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام PythonNotes

تُعد قناة PythonNotes (@pythonnotes1) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 78 268 مشتركاً، محتلاً المرتبة 1 970 في فئة التعليم والمرتبة 3 968 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 78 268 مشتركاً.

بحسب آخر البيانات بتاريخ 26 أغسطس, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -1 459، وفي آخر 24 ساعة بمقدار -21، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 8.58‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 1.53‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 6 717 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 197 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 21.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل certification, programming, head.direction, internship, segment.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Best Place for Learning Python Programming Free Notes of Programming languages 👇 • Python • Java • JavaScript • C • C++ Free Courses & Job Updates ☑️🔎🆓

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 27 أغسطس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

78 268
المشتركون
-2124 ساعات
-3127 أيام
-1 45930 أيام
أرشيف المشاركات
Join PYTHON WhatsApp Group fast:🏃🏻‍♀️🏃🏻 👇👇 https://chat.whatsapp.com/KplHLTJXd6W8AJxlveqyOm?s=cl&p=a&ilr=1

# Get WiFi Passwords using Python 💻 Code 👇👇👇👇👇👇👇👇 import subprocess import re command_output = subprocess.run(["netsh", "wlan", "show", "profiles"], capture_output = True).stdout.decode() profile_names = (re.findall("All User Profile       : (.*)\r", command_output)) wifi_list = list() if len(profile_names) !=0:     for name in profile_names:         wifi_profile = dict()         profile_info = subprocess.run(["netsh", "wlan", "show", "profile", name], capture_output = True).stdout.decode()         if re.search("Security Key      : Absent", profile_info):             continue         else:             wifi_profile["ssid"] = name             profile_info_pass = subprocess.run(["netsh", "wlan", "show", "profile", name, "key=clear"], capture_output = True).stdout.decode()             password = re.search("Key Content       : (.*)\r", profile_info_pass)             if password == None:                 wifi_profile["password"] = None             else:                 wifi_profile["password"] = password[1]             wifi_list.append(wifi_profile) for x in range(len(wifi_list)):     print(wifi_list[x])

HIRING NOW – MEESHO WORK FROM HOME. 📌 Role: Customer Support Executive (Non-Voice Chat Process) 100% Remote Job Part-Time (4
HIRING NOW – MEESHO WORK FROM HOME. 📌 Role: Customer Support Executive (Non-Voice Chat Process) 100% Remote Job Part-Time (4 Hrs) / Full-Time (7 Hrs) Salary: Up to ₹45,000/Month + Incentives ✅ Requirements:Hindi/English/kannada/Telugu/Malayalam/Urdu/Tamil/Marathi etc Anyone language need it. 📌 Job Role: • Handle Customer Chats • Resolve Order & Payment Issues. Apply link -(https://t.me/HRMNGR0)

🚀 Become an AI Testing Engineer – Live Training Program AI is transforming software testing, and organizations are actively looking for professionals who can test LLMs, Chatbots, RAG applications, and AI Agents. If you're a: ✅ Manual Tester ✅ Automation Tester ✅ QA Engineer ✅ SDET ✅ Fresher with Python knowledge ...this live course is designed to help you build practical AI Testing skills. ### What You'll Learn --> ✔ AI & LLM Testing Fundamentals ✔ Prompt Testing ✔ Chatbot Testing ✔ AI Agent Testing ✔ RAG Testing ✔ Hallucination Testing ✔ Memory & Conversation Testing ✔ Security Testing for AI Applications ✔ DeepEval Framework ✔ Langfuse Observability ✔ OpenAI APIs ✔ LangChain & LangGraph ✔Promptfoo ✔ FastAPI ✔ Hands-on Projects ✔ Interview Preparation 🎯 100% Practical Training with Real-World Projects 📅 Next Live Batch: 27th July 🕗  Time: 8:00 PM IST 🎥 Watch the FREE Demo Recording 👇 https://drive.google.com/file/d/1HOGC4-2nt4xB0doEjU7xoP71m0sxdBZ0/view?usp=drive_link Join Free Coding WhatsApp Channel 👇 https://chat.whatsapp.com/KaKBlbATKiuKX5OltqxeKR?mode=gi_t

Want to learn Full Stack AI Python Development at Free of Cost 🤔 --> Job/ Internship Opportunity to Everyone ✔️ Register here Free 👇👇👇 https://link.guvi.in/Pythonpro_se03352Don't miss this Opportunity

Do you want to learn AI ( Artificial Intelligence) at Free of Cost with Job Opportunity ? Join Free, Register here                👇👇👇 https://hack2skill.com/event/india_runs/?utm_source=hack2skill&utm_medium=teamdashboard&utm_term=referral-67&utm_campaign=india_runs&utm_content=66ed82b74ec2fa396372a882Don't miss this Opportunity

Learn Ai with Certificate - FREE! 🚀 💸 Cost: ₹1,999 → ₹0 (FREE!) What You’ll Learn: ✅ Claude + 6 Powerful Ai Tools ✅ Build Websites using AI ✅ Create Videos, PPTs with AI ✅ Crack Interviews using AI 🎁 Bonus: ✔ Free AI Certificate for Resume ✔ Complete Notes + Setup Guide 👉 Enroll Now (Free):👇 https://tinyurl.com/FREE-Ai-Course-51 ⚡️No coding experience needed

ATTENTION PEOPLEI'm sharing the Best Placement Course with all of you Guys ✔️ Which will make you Job Ready with step by step Roadmap of all tech Fields 😍 Click here, Register Free             👇👇👇 https://tinyurl.com/52m796b2 ⚠️ Don't miss this Opportunity ⚠️

Last 30 mins Left ◀️

HCL X GOOGLE Free Online Training Click here, Register Free 👇👇👇 https://link.guvi.in/pythonlearnhub03117 Job/Internship Op
HCL X GOOGLE Free Online Training Click here, Register Free              👇👇👇 https://link.guvi.in/pythonlearnhub03117 Job/Internship Opportunity after Training ✔️

Click here, Register Free 👇👇👇 https://tinyurl.com/Free-Ai-Course-pn1 https://tinyurl.com/Free-Ai-Course-pn1 ⚠️ Free for Fi
Click here, Register Free 👇👇👇 https://tinyurl.com/Free-Ai-Course-pn1 https://tinyurl.com/Free-Ai-Course-pn1 ⚠️ Free for First 500 People ⚠️

Click here, Register Free 👇👇👇 https://link.guvi.in/Pythonpro02965
Click here, Register Free 👇👇👇 https://link.guvi.in/Pythonpro02965

50-useful-python-scripts-free-pdf (5).pdf4.26 KB

140+ basic to advanced Python programs.pdf4.43 MB

💻 Become an AI Expert Programmer at Free of Cost AI Workshop — 100% FREE! 🤖🚀 💥 Worth ₹10,000 → Now ₹0 What you’ll master: ✨ 25+ Must-Know AI Tools 📊 Excel like a Pro 🌐 Create Websites in Minutes 🎯 Crack Exams & Interviews Faster ⏳ Only 200 Seats Available! Click here, Register Free 👇👇 https://tinyurl.com/Free-Ai-Course-pn1

Want to learn Artificial Intelligence ( AI 🤖 ) at Free of Cost 🤔
Anonymous voting

Which of the following is used to define a block of code in Python language?
Anonymous voting

Sometimes reality outpaces expectations in the most unexpected ways. While global AI development seems increasingly fragmented, Sber just released Europe's largest open-source AI collection—full weights, code, and commercial rights included. ✅ No API paywalls. ✅ No usage restrictions. ✅ Just four complete model families ready to run in your private infrastructure, fine-tuned on your data, serving your specific needs. What makes this release remarkable isn't merely the technical prowess, but the quiet confidence behind sharing it openly when others are building walls. Find out more in the article from the developers. GigaChat Ultra Preview: 702B-parameter MoE model (36B active per token) with 128K context window. Trained from scratch, it outperforms DeepSeek V3.1 on specialized benchmarks while maintaining faster inference than previous flagships. Enterprise-ready with offline fine-tuning for secure environments. GitHub | HuggingFace | GitVerse GigaChat Lightning offers the opposite balance: compact yet powerful MoE architecture running on your laptop. It competes with Qwen3-4B in quality, matches the speed of Qwen3-1.7B, yet is significantly smarter and larger in parameter count. Lightning holds its own against the best open-source models in its class, outperforms comparable models on different tasks, and delivers ultra-fast inference—making it ideal for scenarios where Ultra would be overkill and speed is critical. Plus, it features stable expert routing and a welcome bonus: 256K context support. GitHub | Hugging Face | GitVerse Kandinsky 5.0 brings a significant step forward in open generative models. The flagship Video Pro matches Veo 3 in visual quality and outperforms Wan 2.2-A14B, while Video Lite and Image Lite offer fast, lightweight alternatives for real-time use cases. The suite is powered by K-VAE 1.0, a high-efficiency open-source visual encoder that enables strong compression and serves as a solid base for training generative models. This stack balances performance, scalability, and practicality—whether you're building video pipelines or experimenting with multimodal generation. GitHub | GitVerse | Hugging Face | Technical report Audio gets its upgrade too: GigaAM-v3 delivers speech recognition model with 50% lower WER than Whisper-large-v3, trained on 700k hours of audio with punctuation/normalization for spontaneous speech. GitHub | HuggingFace | GitVerse Every model can be deployed on-premises, fine-tuned on your data, and used commercially. It's not just about catching up – it's about building sovereign AI infrastructure that belongs to everyone who needs it.

Reply Correct Answer 👇
Reply Correct Answer 👇