¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
Coding Free Books | Python | AI
Ir al canal en Telegram
Best Channel for Programmers and Hackers All in one channel to learn 👇 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun
Mostrar más📈 Análisis del canal de Telegram Coding Free Books | Python | AI
El canal Coding Free Books | Python | AI (@codingwithsagar) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 30 889 suscriptores, ocupando la posición 6 259 en la categoría Educación y el puesto 13 672 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 30 889 suscriptores.
Según los últimos datos del 19 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 156, y en las últimas 24 horas de -11, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.63%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 1 120 visualizaciones. En el primer día suele acumular 0 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 4.
- Intereses temáticos: El contenido se centra en temas clave como learning, link:-, css, algorithm, sql.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Best Channel for Programmers and Hackers
All in one channel to learn
👇
1. Python
2. Ethical Hacking
3. Java
4. App development
5. Machine learning
6. Data structures
7. Algorithms
Promotions: @coderfun”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 20 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
30 889
Suscriptores
-1124 horas
+337 días
+15630 días
Archivo de publicaciones
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝗙𝗿𝗲𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲: 𝗧𝗵𝗲 𝗕𝗲𝘀𝘁 𝗦𝘁𝗮𝗿𝘁𝗶𝗻𝗴 𝗣𝗼𝗶𝗻𝘁 𝗳𝗼𝗿 𝗧𝗲𝗰𝗵 & 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿𝘀😍
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Repost from Python for Data Analysts
𝟭𝟬𝟬𝟬+ 𝗙𝗿𝗲𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗯𝘆 𝗜𝗻𝗳𝗼𝘀𝘆𝘀 – 𝗟𝗲𝗮𝗿𝗻, 𝗚𝗿𝗼𝘄, 𝗦𝘂𝗰𝗰𝗲𝗲𝗱!😍
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Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟰 𝗛𝗶𝗴𝗵-𝗜𝗺𝗽𝗮𝗰𝘁 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
These globally recognized certifications from platforms like Google, IBM, Microsoft, and DataCamp are beginner-friendly, industry-aligned, and designed to make you job-ready in just a few weeks
𝐋𝐢𝐧𝐤👇:-
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These courses help you gain hands-on experience — exactly what top MNCs look for!✅️
If you want to Excel in Data Science and become an expert, master these essential concepts:
Core Data Science Skills:
• Python for Data Science – Pandas, NumPy, Matplotlib, Seaborn
• SQL for Data Extraction – SELECT, JOIN, GROUP BY, CTEs, Window Functions
• Data Cleaning & Preprocessing – Handling missing data, outliers, duplicates
• Exploratory Data Analysis (EDA) – Visualizing data trends
Machine Learning (ML):
• Supervised Learning – Linear Regression, Decision Trees, Random Forest
• Unsupervised Learning – Clustering, PCA, Anomaly Detection
• Model Evaluation – Cross-validation, Confusion Matrix, ROC-AUC
• Hyperparameter Tuning – Grid Search, Random Search
Deep Learning (DL):
• Neural Networks – TensorFlow, PyTorch, Keras
• CNNs & RNNs – Image & sequential data processing
• Transformers & LLMs – GPT, BERT, Stable Diffusion
Big Data & Cloud Computing:
• Hadoop & Spark – Handling large datasets
• AWS, GCP, Azure – Cloud-based data science solutions
• MLOps – Deploy models using Flask, FastAPI, Docker
Statistics & Mathematics for Data Science:
• Probability & Hypothesis Testing – P-values, T-tests, Chi-square
• Linear Algebra & Calculus – Matrices, Vectors, Derivatives
• Time Series Analysis – ARIMA, Prophet, LSTMs
Real-World Applications:
• Recommendation Systems – Personalized AI suggestions
• NLP (Natural Language Processing) – Sentiment Analysis, Chatbots
• AI-Powered Business Insights – Data-driven decision-making
Like this post if you need a complete tutorial on essential data science topics! 👍❤️
Join our WhatsApp channel: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟳 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱 𝗮𝗻𝗱 𝗦𝘁𝗮𝗻𝗱 𝗢𝘂𝘁😍
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𝐋𝐢𝐧𝐤👇:-
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Empower yourself and take your career to the next level! ✅
Moving Login Button Project (Troll Form 😂)
If the user enters an incorrect password, the "Login" button moves away!
<html>
<head>
<style>
.container {
text-align: center;
margin-top: 50px;
}
.btn {
position: relative;
padding: 10px 20px;
font-size: 16px;
cursor: pointer;
}
</style>
<script>
function moveButton() {
let password = document.getElementById("password").value;
let button = document.getElementById("btn");
if (password !== "legend") {
let x = Math.random() * (window.innerWidth - 100);
let y = Math.random() * (window.innerHeight - 100);
button.style.position = "absolute";
button.style.left = x + "px";
button.style.top = y + "px";
}
}
</script>
</head>
<body>
<div class="container">
<h2>Enter Password</h2>
<input type="password" id="password" placeholder="Type something..." oninput="moveButton()">
<br><br>
<button id="btn" class="btn" onclick="alert('You got lucky!')">Login</button>
</div>
</body>
</html>
How It Works?
If the user types anything other than "legend", the login button starts running away from the cursor.
If the correct password is entered, the button stays in place.
Web Development Best Resources
ENJOY LEARNING 👍👍
#webdev
Repost from Python for Data Analysts
𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝘄𝗶𝘁𝗵 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆😍
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𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3HxOgTW
These courses are designed by Ivy League experts and are trusted by thousands globally✅️
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗖𝗵𝗮𝗻𝗴𝗲 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟱 😍
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Check out 6 handpicked, beginner-friendly courses in high-demand fields like Data Science, Web Development, Digital Marketing, Project Management, and more. 🚀
𝐋𝐢𝐧𝐤👇:-
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💥 Start learning today and build the skills top companies want!✅️
Repost from Web Development
𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗦𝘁𝗲𝗽 𝗕𝘆 𝗦𝘁𝗲𝗽 𝟲-𝗠𝗼𝗻𝘁𝗵 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗥𝗼𝗮𝗱𝗺𝗮𝗽😍
🎯 What You’ll Learn:-
✅ HTML, CSS, JavaScript
✅ React, Node.js, Express.js
✅ MongoDB, REST APIs
✅ Git, GitHub, Deployment
✅ AWS, Google Cloud & more
This 6-month step-by-step roadmap takes you from absolute beginner to job-ready developer — using only free resources! 💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4mTFAaG
Start today and build a portfolio that gets you hired!✅️
Pro Serverless Data Handling with Microsoft Azure
Benjamin Kettner, 2022
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟱 𝗙𝗥𝗘𝗘 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗧𝗲𝗰𝗵, 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲😍
Dreaming of an MIT education without the tuition fees? 🎯
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𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/45cvR95
Your gateway to a smarter career✅️
Steps to learn Data Structures and Algorithms (DSA) with Python
1. Learn Python: If you're not already familiar with Python, start by learning the basics of the language. There are many online resources and tutorials available for free.
2. Understand the Basics: Before diving into DSA, make sure you have a good grasp of Python's syntax, data types, and basic programming concepts. Use free resources from @dsabooks to help you in learning journey.
3. Pick Good Learning Resources: Choose a good book, online course, or tutorial series on DSA with Python. Most of the free stuff is already posted on the channel @crackingthecodinginterview
4. Data Structures: Begin with fundamental data structures like lists, arrays, stacks, queues, linked lists, trees, graphs, and hash tables. Understand their properties, operations, and when to use them.
5. Algorithms: Study common algorithms such as searching (binary search, linear search), sorting (quick sort, merge sort), and dynamic programming. Learn about their time and space complexity.
6. Practice: The key to mastering DSA is practice. Solve a wide variety of problems to apply your knowledge. Websites like LeetCode and HackerRank provide a vast collection of problems.
7. Analyze Complexity: Learn how to analyze the time and space complexity of algorithms. Big O notation is a crucial concept in DSA.
8. Implement Algorithms: Implement algorithms and data structures from scratch in Python. This hands-on experience will deepen your understanding.
9. Project Work: Apply DSA to real projects. This could be building a simple game, a small web app, or any software that requires efficient data handling. Check channel @programming_experts if you need project ideas.
10. Seek Help and Collaborate: Don't hesitate to ask for help when you're stuck. Engage in coding communities, forums, or collaborate with others to gain new insights.
11. Review and Revise: Periodically review what you've learned. Reinforce your understanding by revisiting data structures and algorithms you've studied.
12. Competitive Programming: Participate in competitive programming contests. They are a great way to test your skills and improve your problem-solving abilities.
13. Stay Updated: DSA is an ever-evolving field. Stay updated with the latest trends and algorithms.
14. Contribute to Open Source: Consider contributing to open source projects. It's a great way to apply your knowledge and work on real-world code.
15. Teach Others: Teaching what you've learned to others can deepen your understanding. You can create tutorials or mentor someone.
Join @free4unow_backup for more free courses
ENJOY LEARNING 👍👍
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗶𝗻 𝟮𝟬𝟮𝟱!😍
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𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456lMuf
Save this now & unlock your AI potential!⚡
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝗦𝗤𝗟 𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 😍
Looking to master SQL for Data Analytics or prep for your dream tech job? 💼
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𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3TcvfsA
💥 Start learning today and build the skills top companies want!✅️
Importance of AI in Data Analytics
AI is transforming the way data is analyzed and insights are generated. Here's how AI adds value in data analytics:
1. Automated Data Cleaning
AI helps in detecting anomalies, missing values, and outliers automatically, improving data quality and saving analysts hours of manual work.
2. Faster & Smarter Decision Making
AI models can process massive datasets in seconds and suggest actionable insights, enabling real-time decision-making.
3. Predictive Analytics
AI enables forecasting future trends and behaviors using machine learning models (e.g., sales predictions, churn forecasting).
4. Natural Language Processing (NLP)
AI can analyze unstructured data like reviews, feedback, or comments using sentiment analysis, keyword extraction, and topic modeling.
5. Pattern Recognition
AI uncovers hidden patterns, correlations, and clusters in data that traditional analysis may miss.
6. Personalization & Recommendation
AI algorithms power recommendation systems (like on Netflix, Amazon) that personalize user experiences based on behavioral data.
7. Data Visualization Enhancement
AI auto-generates dashboards, chooses best chart types, and highlights key anomalies or insights without manual intervention.
8. Fraud Detection & Risk Analysis
AI models detect fraud and mitigate risks in real-time using anomaly detection and classification techniques.
9. Chatbots & Virtual Analysts
AI-powered tools like ChatGPT allow users to interact with data using natural language, removing the need for technical skills.
10. Operational Efficiency
AI automates repetitive tasks like report generation, data transformation, and alerts—freeing analysts to focus on strategy.
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
#dataanalytics
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍
𝗦𝗤𝗟:- https://pdlink.in/3TcvfsA
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3Hfpwjc
𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲:- https://pdlink.in/3ZyQpFd
𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3Hnx3wh
𝗗𝗲𝘃𝗢𝗽𝘀 :- https://pdlink.in/4jyxBwS
𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 :- https://pdlink.in/4jCAtJ5
Enroll for FREE & Get Certified 🎓
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
𝟲 𝗙𝗥𝗘𝗘 𝗖𝗶𝘀𝗰𝗼 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗧𝗲𝗰𝗵 𝗖𝗮𝗿𝗲𝗲𝗿 !😍
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These 6 free Cisco-certified courses are a goldmine for beginners! Perfect for anyone exploring cybersecurity, Python, AI, IoT, operating systems, or data analytics👨💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4kLvlmI
Enroll For FREE & Get Certified 💫
Repost from Web Development
𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗡𝗼 𝗗𝗲𝗴𝗿𝗲𝗲 𝗡𝗲𝗲𝗱𝗲𝗱!😍
You don’t need a degree or pay lakhs to start a career in web development! 💸❌
These 100% free courses by Udacity are beginner-friendly and cover everything from frontend to backend👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/4jCAtJ5
📌 Save this post & tag a friend who’s ready to switch to tech!
