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💡 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
Больше📈 Аналитический обзор Telegram-канала Coding_knowledge
Канал Coding_knowledge (@coding_knwledge01) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 81 592 подписчиков, занимая 1 584 место в категории Технологии и приложения и 3 896 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 81 592 подписчиков.
Согласно последним данным от 10 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 3 611, а за последние 24 часа — 37, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 7.14%. В первые 24 часа после публикации контент обычно набирает 2.96% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 5 819 просмотров. В течение первых суток публикация набирает 2 415 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 17.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как q&a, goody, api, stack, analyst.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“💡 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”
Благодаря высокой частоте обновлений (последние данные получены 11 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
81 592
Подписчики
+3724 часа
+4897 дней
+3 61130 день
Архив постов
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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)
React ❤️ For More
81 602
7 Days = 7 Certificates 🎯
1/ Google Certifications: https://developers.google.com/certification
2/ PayPal (Technical Compliance / PCI): https://www.paypal.com/in/webapps/mpp/pci-compliance
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6/ Meta Certifications: https://www.facebook.com/business/learn/certification
7/ Microsoft: https://learn.microsoft.com/en-us/shows/intro-to-python-development/
81 602
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✅ Model Deployment – Real-World AI Applications
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81 602
Neon Cursor 🚀
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81 602
Project :- Escape-road-game 🚀
instagram Reel :- https://www.instagram.com/reel/DRo_kJIEj1H/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA==
React ❤️ For More
81 602
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81 602
Hey Folks , only 50 sheets are left!😟 If you haven’t enrolled yet to learn Python & machine learning for free and get a free certificate, do it quickly!
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81 602
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81 602
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81 602
Hey Folks, Join my coding whatsapp group 👇
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81 602
🚀 COMPLETE ROADMAP: FROM 4 LPA TO 40 LPA (STEP-BY-STEP PLAN)
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Daily problem solving on LeetCode / CodeStudio
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SQL + NoSQL Databases
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Build real-world scalable projects
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✅ Deployment Skills
Docker & Kubernetes
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✅ Crack High-Level Interviews
Low Level Design (LLD)
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✅ Personal Branding
Strong GitHub Portfolio
Technical Blogs
LinkedIn Optimisation
Mock Interviews + DSA Revision
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✅ Apply For:
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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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🔥 FINAL CALL - ONLY 12 SEATS LEFT
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81 602
✅ 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
