متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
Coding_knowledge
الذهاب إلى القناة على Telegram
💡 Your Coding Journey Starts Here! Get free courses, coding resources, internships, job updates & much more. Stay ahead in tech with us! ❤️🚀 Join our WhatsApp group👇 https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Coding_knowledge
تُعد قناة Coding_knowledge (@coding_knwledge01) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 81 608 مشتركاً، محتلاً المرتبة 1 582 في فئة التكنولوجيات والتطبيقات والمرتبة 3 899 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 81 608 مشتركاً.
بحسب آخر البيانات بتاريخ 11 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 3 614، وفي آخر 24 ساعة بمقدار 49، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 6.93%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 2.95% من ردود الفعل نسبةً إلى إجمالي المشتركين.
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- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 14.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل q&a, goody, api, stack, analyst.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“💡 Your Coding Journey Starts Here!
Get free courses, coding resources, internships, job updates & much more.
Stay ahead in tech with us! ❤️🚀
Join our WhatsApp group👇
https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 12 يونيو, 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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المشتركون
+4924 ساعات
+4547 أيام
+3 61430 أيام
أرشيف المشاركات
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✅ Web Development Basics You Should Know 🌐💡
Understanding the foundations of web development is the first step toward building websites and web apps.
1️⃣ What is Web Development?
Web development is the process of creating websites and web applications. It includes everything from a basic HTML page to full-stack apps.
Types of Web Dev:
- Frontend: What users see (HTML, CSS, JavaScript)
- Backend: Server-side logic, databases (Node.js, Python, etc.)
- Full Stack: Both frontend + backend
2️⃣ How the Web Works
When you visit a website:
- The browser (client) sends a request via HTTP
- The server processes it and sends back a response (HTML, data)
- Your browser renders it on the screen
Example: Typing
www.example.com sends a request → DNS resolves IP → Server sends back the HTML → Browser displays it
3️⃣ HTML (HyperText Markup Language)
Defines the structure of web pages.
<h1>Welcome</h1>
<p>This is my first website.</p>h1 {
color: blue;
text-align: center;
}<button onclick="alert('Hello!')">Click Me</button>@media (max-width: 600px) {
body {
font-size: 14px;
}
}document.getElementById("demo").innerText = "Changed!";git init
git add .
git commit -m "First commit"
git push fetch('https://api.weatherapi.com')
.then(res => res.json())
.then(data => console.log(data));81 602
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Age of Programming Languages👨🏻💻
🦅 Swift (11 years old) (2014)
🚀 Kotlin (13 years old) (2011)
🦀 Rust (14 years old) (2010)
🐹 Go (15 years old) (2009)
🔷 TypeScript (12 years old) (2012)
🎸 C# (24 years old) (2000)
💎 Ruby (29 years old) (1995)
☕ Java (29 years old) (1995)
🌐 JavaScript (29 years old) (1995)
🐘 PHP (30 years old) (1994)
🐍 Python (34 years old) (1991)
🐪 Perl (37 years old) (1987)
🚀 C++ (39 years old) (1985)
📱 Objective-C (40 years old) (1984)
🔍 Prolog (52 years old) (1972)
🗣️ Smalltalk (52 years old) (1972)
🖥️ C (52 years old) (1972)
📝 Pascal (54 years old) (1970)
🎓 BASIC (60 years old) (1964)
💼 COBOL (65 years old) (1959)
🤖 Lisp (66 years old) (1958)
📜 Fortran (67 years old) (1957)
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7 Days = 7 Certificates 🎯
1/ Google Certifications: https://developers.google.com/certification
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Neon Cursor 🚀
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Project :- Escape-road-game 🚀
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81 602
🚀 COMPLETE ROADMAP: FROM 4 LPA TO 40 LPA (STEP-BY-STEP PLAN)
PHASE 1: STRONG FOUNDATION (0 – 6 Months)
✅ Master DSA + Core Java
Arrays, Linked List, Stack, Queue, Trees, Graphs, DP
Daily problem solving on LeetCode / CodeStudio
Focus on writing clean & optimised code
PHASE 2: BACKEND DEVELOPMENT (6 – 12 Months)
✅ Become Backend Expert
Spring Boot + REST APIs
Microservices Architecture
SQL + NoSQL Databases
Authentication, JWT, Security Concepts
Build real-world scalable projects
PHASE 3: CLOUD & DEVOPS (12 – 15 Months)
✅ Deployment Skills
Docker & Kubernetes
AWS / GCP / Azure
CI/CD Pipelines
System Monitoring & Scaling
PHASE 4: SYSTEM DESIGN (15 – 20 Months)
✅ Crack High-Level Interviews
Low Level Design (LLD)
High Level Design (HLD)
Load Balancing, Caching, Database Scaling
Design systems like Netflix, Uber, WhatsApp
PHASE 5: ADVANCED ENGINEERING (20 – 30 Months)
✅ Become 10x Engineer
Concurrency & Multithreading
Performance Optimisation
Distributed Systems
Message Queues (Kafka, RabbitMQ)
PHASE 6: BRAND + INTERVIEW PREP (30 – 36 Months)
✅ Personal Branding
Strong GitHub Portfolio
Technical Blogs
LinkedIn Optimisation
Mock Interviews + DSA Revision
PHASE 7: TARGET HIGH-PAY COMPANIES (3 – 5 Years)
✅ Apply For:
MAANG Companies
Product-Based Giants
Remote International Roles
High Paying Startups
🎯 RESULT: 4 LPA ➝ 40 LPA CAREER TRANSFORMATION
Consistency + Smart Learning + Real Projects = High Salary Growth 💰
Reality Check
₹40 LPA is not magic. 🪄
It’s built with:
Deep skills
Smart job switches
High-leverage projects
Strategic career moves
81 602
🧠 7 Golden Rules to Crack Data Science Interviews 📊🧑💻
1️⃣ Master the Fundamentals
- Be clear on stats, ML algorithms, and probability
- Brush up on SQL, Python, and data wrangling
2️⃣ Know Your Projects Deeply
- Be ready to explain models, metrics, and business impact
- Prepare for follow-up questions
3️⃣ Practice Case Studies & Product Thinking
- Think beyond code — focus on solving real problems
- Show how your solution helps the business
4️⃣ Explain Trade-offs
- Why Random Forest vs. XGBoost?
- Discuss bias-variance, precision-recall, etc.
5️⃣ Be Confident with Metrics
- Accuracy isn’t enough — explain F1-score, ROC, AUC
- Tie metrics to the business goal
6️⃣ Ask Clarifying Questions
- Never rush into an answer
- Clarify objective, constraints, and assumptions
7️⃣ Stay Updated & Curious
- Follow latest tools (like LangChain, LLMs)
- Share your learning journey on GitHub or blogs
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✅ Python for Machine Learning – Beginner to Job-Ready Roadmap 🤖🐍
📍 1️⃣ Python Basics
– Variables, Data Types, Operators
– if-else, loops, functions
✅ Practice: Write a BMI calculator, number guessing game
📍 2️⃣ Data Structures & Libraries
– Lists, Dicts, Tuples, Sets
– NumPy: arrays, slicing, broadcasting
– Pandas: DataFrames, filtering, merging
✅ Practice: Analyze a CSV with Pandas
📍 3️⃣ Data Visualization
– Matplotlib, Seaborn basics
– Plotting histograms, boxplots, heatmaps
✅ Project: Visualize Titanic dataset insights
📍 4️⃣ Data Preprocessing
– Handling nulls, encoding, scaling
– Feature engineering & selection
✅ Practice: Clean a housing prices dataset
📍 5️⃣ Machine Learning with Scikit-learn
– Regression, Classification, Clustering
– Model training, prediction, evaluation
✅ Project: Predict student scores using Linear Regression
📍 6️⃣ Model Evaluation
– Accuracy, Precision, Recall, F1-Score
– Confusion Matrix, ROC-AUC
✅ Practice: Evaluate a classification model
📍 7️⃣ Model Tuning & Pipelines
– GridSearchCV, cross-validation
– Build ML pipelines for clean code
✅ Project: Optimize a Random Forest model
📍 8️⃣ Real-World ML Projects
– House price prediction
– Customer churn analysis
– Image classification
✅ Tip: Use datasets from Kaggle, UCI, or open APIs
💬 Tap ❤️ for more!
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Only 3 hours are left to register, and more than 3350+ people have already enrolled for the free Java course. The registration link is given below. 👇
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Register now for free 🤩 :- https://forms.gle/eMMPc3Rsioe9xj699
