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Coding_knowledge
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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
Ko'proq ko'rsatish📈 Telegram kanali Coding_knowledge analitikasi
Coding_knowledge (@coding_knwledge01) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 81 608 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 582-o'rinni va Hindiston mintaqasida 3 899-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 81 608 obunachiga ega bo‘ldi.
11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 3 614 ga, so‘nggi 24 soatda esa 49 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 6.93% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.95% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 5 652 marta ko‘riladi; birinchi sutkada odatda 2 409 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 14 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent q&a, goody, api, stack, analyst kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“💡 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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 12 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
81 608
Obunachilar
+4924 soatlar
+4547 kunlar
+3 61430 kunlar
Postlar arxiv
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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
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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
3/ Deloitte Academy (Learning & Certifications): https://www.deloitte.com/cy/en/services/deloitte-academy.html
4/ Oracle Certifications: https://academy.oracle.com/en/resources-oracle-certifications.html
5/ IBM Certifications: https://www.pearsonvue.com/us/en/ibm.html
6/ Meta Certifications: https://www.facebook.com/business/learn/certification
7/ Microsoft: https://learn.microsoft.com/en-us/shows/intro-to-python-development/
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✅ Data Analysis & Visualization – Dashboards & Insights
✅ Machine Learning Basics – Regression, Classification & Clustering
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✅ Model Deployment – Real-World AI Applications
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✔️ 45+ Hours of Expert Content
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Neon Cursor 🚀
instagram reel : https://www.instagram.com/reel/DRrnMHYkuU9/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA==
React ❤️ For More
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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
Hey guys, only 2 hours are left to register for the free Python course. Register now! 🚀👇
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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
🔥 FINAL CALL - ONLY 18 SEATS LEFT
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81 602
Hey Folks , only 100 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
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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✅ Master DSA + Core Java
Arrays, Linked List, Stack, Queue, Trees, Graphs, DP
Daily problem solving on LeetCode / CodeStudio
Focus on writing clean & optimised code
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✅ Become Backend Expert
Spring Boot + REST APIs
Microservices Architecture
SQL + NoSQL Databases
Authentication, JWT, Security Concepts
Build real-world scalable projects
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✅ Deployment Skills
Docker & Kubernetes
AWS / GCP / Azure
CI/CD Pipelines
System Monitoring & Scaling
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✅ Crack High-Level Interviews
Low Level Design (LLD)
High Level Design (HLD)
Load Balancing, Caching, Database Scaling
Design systems like Netflix, Uber, WhatsApp
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✅ Become 10x Engineer
Concurrency & Multithreading
Performance Optimisation
Distributed Systems
Message Queues (Kafka, RabbitMQ)
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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
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🧠 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
💬 Double tap ❤️ for more!
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🔥 FINAL CALL - ONLY 12 SEATS LEFT
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✔️ 65+ Hours of Guided Training
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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. 👇
And If you want 🎁Free Goodies + Free Certificate + Project Files + Live Q&A 🔗, then choose "Maharashtra" as your state ❤️
Register now for free 🤩 :- https://forms.gle/eMMPc3Rsioe9xj699
