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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

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📈 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 30 868 suscriptores, ocupando la posición 6 250 en la categoría Educación y el puesto 13 508 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 30 868 suscriptores.

Según los últimos datos del 22 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 125, y en las últimas 24 horas de -5, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.82%. 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 1 180 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 5.
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 23 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.

30 868

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Top 10 CSS Interview Questions 1. What is CSS and what are its key features? CSS (Cascading Style Sheets) is a stylesheet language used to describe the presentation of a document written in HTML or XML. Its key features include controlling layout, styling text, setting colors, spacing, and more, allowing for a separation of content and design for better maintainability and flexibility. 2. Explain the difference between inline, internal, and external CSS. - Inline CSS is applied directly within an HTML element using the style attribute. - Internal CSS is defined within a <style> tag inside the <head> section of an HTML document. - External CSS is linked to an HTML document via the <link> tag and is written in a separate .css file. 3. What is the CSS box model and what are its components? The CSS box model describes the rectangular boxes generated for elements in the document tree and consists of four components: - Content: The actual content of the element. - Padding: The space between the content and the border. - Border: The edge surrounding the padding. - Margin: The space outside the border that separates the element from others. 4. How do you center a block element horizontally using CSS? To center a block element horizontally, you can use the margin: auto; property. For example:

.center {
  width: 50%;
  margin: auto;
}

5. What are CSS selectors and what are the different types? CSS selectors are patterns used to select elements to apply styles. The different types include: - Universal selector (*) - Element selector (element) - Class selector (.class) - ID selector (#id) - Attribute selector ([attribute]) - Pseudo-class selector (:pseudo-class) - Pseudo-element selector (::pseudo-element) 6. Explain the difference between absolute, relative, fixed, and sticky positioning in CSS. - relative: The element is positioned relative to its normal position. - absolute: The element is positioned relative to its nearest positioned ancestor or the initial containing block if none exists. - fixed: The element is positioned relative to the viewport and does not move when the page is scrolled. - sticky: The element is treated as relative until a given offset position is met in the viewport, then it behaves as fixed. 7. What is Flexbox and how is it used in CSS? Flexbox (Flexible Box Layout) is a layout model that allows for more efficient arrangement of elements within a container. It is used to align and distribute space among items in a container, even when their size is unknown or dynamic. Flexbox is enabled by setting display: flex; on a container element. 8. How do you create a responsive design in CSS? Responsive design can be achieved using media queries, flexible grid layouts, and relative units like percentages, em, and rem. Media queries adjust styles based on the viewport's width, height, and other characteristics. For example:

@media (max-width: 600px) {
  .container {
    width: 100%;
  }
}

9. What are CSS preprocessors and name a few popular ones. CSS preprocessors extend CSS with variables, nested rules, and functions, making it more powerful and easier to maintain. Popular CSS preprocessors include: - Sass (Syntactically Awesome Style Sheets) - LESS (Leaner Style Sheets) - Stylus 10. How do you implement CSS animations? CSS animations are implemented using the @keyframes rule to define the animation and the animation property to apply it to an element. For example:

@keyframes example {
  from {background-color: red;}
  to {background-color: yellow;}
}

.element {
  animation: example 5s infinite;
}

Web Development Best Resources: https://topmate.io/coding/930165 ENJOY LEARNING 👍👍

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Repost from AI Prompts | ChatGPT | Google Gemini | Claude

𝟲 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗙𝗿𝗼𝗺 𝗧𝗼𝗽 𝗢𝗿𝗴𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀 😍 A power-packed selection of 100% free, certified courses from top institutions: - Data Analytics – Cisco - Digital Marketing – Google - Python for AI – IBM/edX - SQL & Databases – Stanford - Generative AI – Google Cloud - Machine Learning – Harvard 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:- https://pdlink.in/3FcwrZK Master in‑demand tech skills with these 6 certified, top-tier free courses

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Topic: Data Structures – Trees – Top 15 Interview Questions with Answers --- ### 1. What is a tree data structure? A hierarchical structure with nodes connected by edges, having a root node and child nodes with no cycles. --- ### 2. What is the difference between binary tree and binary search tree (BST)? A binary tree allows up to two children per node; BST maintains order where left child < node < right child. --- ### 3. What are the types of binary trees? Full, perfect, complete, skewed (left/right), and balanced binary trees. --- ### 4. Explain tree traversal methods. Inorder (LNR), Preorder (NLR), Postorder (LRN), and Level Order (BFS). --- ### 5. What is a balanced tree? Why is it important? A tree where the height difference between left and right subtrees is minimal to ensure O(log n) operations. --- ### 6. What is an AVL tree? A self-balancing BST maintaining balance factor (-1, 0, 1) with rotations to balance after insert/delete. --- ### 7. What are rotations in AVL trees? Operations (Left, Right, Left-Right, Right-Left) used to rebalance the tree after insertion or deletion. --- ### 8. What is a Red-Black Tree? A balanced BST with red/black nodes ensuring balance via color rules, offering O(log n) operations. --- ### 9. How does a Trie work? A tree structure used for storing strings, where nodes represent characters, allowing fast prefix searches. --- ### 10. What is the height of a binary tree? The number of edges on the longest path from root to a leaf node. --- ### 11. How do you find the lowest common ancestor (LCA) of two nodes? By traversing from root, checking if nodes lie in different subtrees, or by storing parent pointers. --- ### 12. What is the difference between DFS and BFS on trees? DFS explores as far as possible along branches; BFS explores neighbors level by level. --- ### 13. How do you detect if a binary tree is a BST? Check if inorder traversal yields a sorted sequence or verify node values within valid ranges recursively. --- ### 14. What are leaf nodes? Nodes with no children. --- ### 15. How do you calculate the number of nodes in a complete binary tree? Using the formula: number\_of\_nodes = 2^(height + 1) - 1 (if perfect), else traverse and count. --- ### Exercise Write functions for inorder, preorder, postorder traversals, check if tree is BST, and find LCA of two nodes. --- #DSA #Trees #InterviewQuestions #BinaryTrees #Python #Algorithms

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Repost from Python for Data Analysts

𝟰 𝗠𝘂𝘀𝘁-𝗪𝗮𝘁𝗰𝗵 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱😍 If you’re starting your data analytics journey, these 4 YouTube courses are pure gold — and the best part? 💻🤩 They’re completely free💥💯 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/44DvNP1 Each course can help you build the right foundation for a successful tech career✅️

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Repost from Python for Data Analysts

𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗛𝗮𝗻𝗱𝘀-𝗢𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 (𝗙𝗿𝗲𝗲 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀)😍 Want to stand out with real Python experience?👨‍💻💡 These full-length YouTube tutorials walk you through resume-worthy projects — perfect for beginners aiming to move beyond theory.📚📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/456I3Yl Here are 5 projects you can start today👆✅️

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DSA (Data Structures and Algorithms) Essential Topics for Interviews 1️⃣ Arrays and Strings Basic operations (insert, delete, update) Two-pointer technique Sliding window Prefix sum Kadane’s algorithm Subarray problems 2️⃣ Linked List Singly & Doubly Linked List Reverse a linked list Detect loop (Floyd’s Cycle) Merge two sorted lists Intersection of linked lists 3️⃣ Stack & Queue Stack using array or linked list Queue and Circular Queue Monotonic Stack/Queue LRU Cache (LinkedHashMap/Deque) Infix to Postfix conversion 4️⃣ Hashing HashMap, HashSet Frequency counting Two Sum problem Group Anagrams Longest Consecutive Sequence 5️⃣ Recursion & Backtracking Base cases and recursive calls Subsets, permutations N-Queens problem Sudoku solver Word search 6️⃣ Trees & Binary Trees Traversals (Inorder, Preorder, Postorder) Height and Diameter Balanced Binary Tree Lowest Common Ancestor (LCA) Serialize & Deserialize Tree 7️⃣ Binary Search Trees (BST) Search, Insert, Delete Validate BST Kth smallest/largest element Convert BST to DLL 8️⃣ Heaps & Priority Queues Min Heap / Max Heap Heapify Top K elements Merge K sorted lists Median in a stream 9️⃣ Graphs Representations (adjacency list/matrix) DFS, BFS Cycle detection (directed & undirected) Topological Sort Dijkstra’s & Bellman-Ford algorithm Union-Find (Disjoint Set) 10️⃣ Dynamic Programming (DP) 0/1 Knapsack Longest Common Subsequence Matrix Chain Multiplication DP on subsequences Memoization vs Tabulation 11️⃣ Greedy Algorithms Activity selection Huffman coding Fractional knapsack Job scheduling 12️⃣ Tries Insert and search a word Word search Auto-complete feature 13️⃣ Bit Manipulation XOR, AND, OR basics Check if power of 2 Single Number problem Count set bits Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X ENJOY LEARNING 👍👍

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Repost from AI Prompts | ChatGPT | Google Gemini | Claude

𝗖𝗿𝗮𝗰𝗸 𝗙𝗔𝗔𝗡𝗚 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱 — 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘!😍 If you’re serious about cracking top tech interviews — from FAANG to startups — this is the roadmap you can’t afford to miss🎊 Thousands have used it to land roles at Google, Amazon, Microsoft, and more — completely free🤩📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3TJlpyW Your dream job might just start here.✅️

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Big Data Analytics (2024).pdf8.40 MB

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Repost from Python for Data Analysts

𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱 — 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗝𝘂𝘀𝘁 𝟯 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀!😍 Want to break into Data Analytics without a degree or expensive bootcamps?👨‍💻📌 All you need are 3 essentials to get started👇 📊 Excel | 🛢 SQL | 🧠 Basic Maths 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3IwVWGE You can learn & practice them 100% FREE✅️

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NoSQL vs SQL NoSQL databases provide flexible data models ideal for diverse data structures and scalability. 1. Key-Value: Simple, uses key-value pairs (e.g., Redis). 2. Document: Stores data in JSON/BSON documents (e.g., MongoDB). 3. Graph: Manages complex relationships with nodes and edges (e.g., Neo4j). 4. Column Store: Optimized for analytics, organizes data by columns (e.g., Cassandra). SQL databases, like RDBMS and OLAP, provide structured, relational storage for traditional and analytical needs 1. RDBMS: Traditional relational databases with tables (e.g., PostgreSQL & MySQL). 2. OLAP: Designed for complex analysis and multidimensional data (e.g., SQL Server Analysis Services).

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🔢🔢🔢 AI TOOLS TO Excel In Your Career...

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Repost from Python for Data Analysts

𝟲 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 (𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮𝘀𝗲𝘁𝘀!)😍 🎯 Want to level up your SQL skills with real business scenarios?📚 These 6 hands-on SQL projects will help you go beyond basic SELECT queries and practice what hiring managers actually care about👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/40kF1x0 Save this post — even completing 1 project can power up your SQL profile!✅️

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Repost from Python for Data Analysts

𝗪𝗮𝗻𝘁 𝘁𝗼 𝗣𝗿𝗼𝘃𝗲 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗸𝗶𝗹𝗹𝘀 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗦𝗽𝗲𝗻𝗱𝗶𝗻𝗴 𝗮 𝗥𝘂𝗽𝗲𝗲?😍 Knowledge is powerful — but certifications show proof. Whether you’re applying for internships, jobs, or freelance roles, having verifiable credentials in Python, SQL, and Data Visualization can set you apart.📚💫 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4eNiUVP Enjoy Learning ✅️

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🔗 Data Structures and Algorithms in Python 🔰 React ❤️ for more

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Want To become a Backend Developer? Here’s a roadmap with essential concepts: 1. Programming Languages JavaScript (Node.js), Python, Java, Ruby, Go, or PHP: Pick one language and get comfortable with syntax & basics. 2. Version Control Git: Learn version control basics, commit changes, branching, and collaboration on GitHub/GitLab. 3. Databases Relational Databases: Master SQL basics with databases like MySQL or PostgreSQL. Learn how to design schemas, write efficient queries, and perform joins. NoSQL Databases: Understand when to use NoSQL (MongoDB, Cassandra) vs. SQL. Learn data modeling for NoSQL. 4. APIs & Web Services REST APIs: Learn how to create, test, and document RESTful services using tools like Postman. GraphQL: Gain an understanding of querying and mutation, and when GraphQL may be preferred over REST. gRPC: Explore gRPC for high-performance communication between services if your stack supports it. 5. Server & Application Frameworks Frameworks: Master backend frameworks in your chosen language (e.g., Express for Node.js, Django for Python, Spring Boot for Java). Routing & Middleware: Learn how to structure routes, manage requests, and use middleware. 6. Authentication & Authorization JWT: Learn how to manage user sessions and secure APIs using JSON Web Tokens. OAuth2: Understand OAuth2 for third-party authentication (e.g., Google, Facebook). Session Management: Learn to implement secure session handling and token expiration. 7. Caching Redis or Memcached: Learn caching to optimize performance, improve response times, and reduce load on databases. Browser Caching: Set up HTTP caching headers for browser caching of static resources. 8. Message Queues & Event-Driven Architecture Message Brokers: Learn message queues like RabbitMQ, Kafka, or AWS SQS for handling asynchronous processes. Pub/Sub Pattern: Understand publish/subscribe patterns for decoupling services. 9. Microservices & Distributed Systems Microservices Design: Understand service decomposition, inter-service communication, and Bounded Contexts. Distributed Systems: Learn fundamentals like the CAP Theorem, data consistency models, and resiliency patterns (Circuit Breaker, Bulkheads). 10. Testing & Debugging Unit Testing: Master unit testing for individual functions. Integration Testing: Test interactions between different parts of the system. End-to-End (E2E) Testing: Simulate real user scenarios to verify application behavior. Debugging: Use logs, debuggers, and tracing to locate and fix issues. 11. Containerization & Orchestration Docker: Learn how to containerize applications for easy deployment and scaling. Kubernetes: Understand basics of container orchestration, scaling, and management. 12. CI/CD (Continuous Integration & Continuous Deployment) CI/CD Tools: Familiarize yourself with tools like Jenkins, GitHub Actions, or GitLab CI/CD. Automated Testing & Deployment: Automate tests, builds, and deployments for rapid development cycles. 13. Cloud Platforms AWS, Azure, or Google Cloud: Learn basic cloud services such as EC2 (compute), S3 (storage), and RDS (databases). Serverless Functions: Explore serverless options like AWS Lambda for on-demand compute resources. 14. Logging & Monitoring Centralized Logging: Use tools like ELK Stack (Elasticsearch, Logstash, Kibana) for aggregating and analyzing logs. Monitoring & Alerting: Implement real-time monitoring with Prometheus, Grafana, or CloudWatch. 15. Security Data Encryption: Encrypt data at rest and in transit using SSL/TLS and other encryption standards. Secure Coding: Protect against common vulnerabilities (SQL injection, XSS, CSRF). Zero Trust Architecture: Learn to design systems with the principle of least privilege and regular authentication. 16. Scalability & Optimization Load Balancing: Distribute traffic evenly across servers. Database Optimization: Learn indexing, sharding, and partitioning. Horizontal vs. Vertical Scaling: Know when to scale by adding resources to existing servers or by adding more servers. ENJOY LEARNING 👍👍 #backend

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Repost from AI Prompts | ChatGPT | Google Gemini | Claude

𝗛𝗶𝗱𝗱𝗲𝗻 𝗚𝗲𝗺 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗠𝗜𝗧, 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱!😍 Still searching for quality learning resources?📚 What if I told you there’s a platform offering free full-length courses from top universities like MIT, Stanford, and Harvard — and most people have never even heard of it? 🤯 𝗟𝗶𝗻𝗸𝘀:-👇 https://pdlink.in/4lN7aF1 Don’t skip this chance✅️

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Essential Math for AI Hala Nelson, 2022

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Repost from Python for Data Analysts

𝗪𝗶𝗽𝗿𝗼’𝘀 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿: 𝗬𝗼𝘂𝗿 𝗙𝗮𝘀𝘁-𝗧𝗿𝗮𝗰𝗸 𝘁𝗼 𝗮 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿!😍 Want to break into Data Science but don’t have a degree or years of experience? Wipro just made it easier than ever!👨‍🎓✨️ With the Wipro Data Science Accelerator, you can start learning for FREE—no fancy credentials needed. Whether you’re a beginner or an aspiring data professional👨‍💻📌 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hOXcR7 Ready to start? Explore Wipro’s Data Science Accelerator here✅️