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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

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📈 Análisis del canal de Telegram Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

El canal Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 55 799 suscriptores, ocupando la posición 2 359 en la categoría Tecnologías y Aplicaciones y el puesto 6 036 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 55 799 suscriptores.

Según los últimos datos del 02 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -189, y en las últimas 24 horas de 15, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.10%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.57% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 171 visualizaciones. En el primer día suele acumular 316 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
  • Intereses temáticos: El contenido se centra en temas clave como algorithm, structure, stack, javascript, programming.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 03 noviembre, 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 Tecnologías y Aplicaciones.

55 799
Suscriptores
+1524 horas
-127 días
-18930 días
Archivo de publicaciones
𝐅𝐑𝐄𝐄 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬 😍 Struggling with no experience in data analytics? Don't worry!
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Repost from Trump's Ear
The world stands on a precipice, and the trends are not good. It was the United States whose economic wherewithal rescued Wes
The world stands on a precipice, and the trends are not good. It was the United States whose economic wherewithal rescued Western civilisation in the Second World War and the Cold War. But whereas in 1945 the US accounted for half of all global manufacturing, it now accounts for roughly 16 per cent. America’s gross national debt stands at $36trn, and that debt is growing by $1trn annually. #US #Trump #Europe 👂 More on Trump's Ear

30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews. ### Week 1: Foundations and Basic Data Structures Day 1-3: Arrays and Strings - Topics to Cover: - Array basics, operations (insertion, deletion, searching) - String manipulation - Two-pointer technique, sliding window technique - Practice Problems: - Two Sum - Maximum Subarray - Reverse a String - Longest Substring Without Repeating Characters Day 4-5: Linked Lists - Topics to Cover: - Singly linked list, doubly linked list, circular linked list - Common operations (insertion, deletion, reversal) - Practice Problems: - Reverse a Linked List - Merge Two Sorted Lists - Remove Nth Node From End of List Day 6-7: Stacks and Queues - Topics to Cover: - Stack operations (push, pop, top) - Queue operations (enqueue, dequeue) - Applications (expression evaluation, backtracking, breadth-first search) - Practice Problems: - Valid Parentheses - Implement Stack using Queues - Implement Queue using Stacks ### Week 2: Advanced Data Structures Day 8-10: Trees - Topics to Cover: - Binary Trees, Binary Search Trees (BST) - Tree traversal (preorder, inorder, postorder, level order) - Practice Problems: - Invert Binary Tree - Validate Binary Search Tree - Serialize and Deserialize Binary Tree Day 11-13: Heaps and Priority Queues - Topics to Cover: - Binary heap (min-heap, max-heap) - Heap operations (insert, delete, extract-min/max) - Applications (heap sort, priority queues) - Practice Problems: - Kth Largest Element in an Array - Top K Frequent Elements - Find Median from Data Stream Day 14: Hash Tables - Topics to Cover: - Hashing concept, hash functions, collision resolution (chaining, open addressing) - Applications (caching, counting frequencies) - Practice Problems: - Two Sum (using hash map) - Group Anagrams - Subarray Sum Equals K ### Week 3: Algorithms Day 15-17: Sorting and Searching Algorithms - Topics to Cover: - Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort) - Searching algorithms (binary search, linear search) - Practice Problems: - Merge Intervals - Search in Rotated Sorted Array - Sort Colors - Find Peak Element Day 18-20: Recursion and Backtracking - Topics to Cover: - Basic recursion, tail recursion - Backtracking (N-Queens, Sudoku solver) - Practice Problems: - Permutations - Combination Sum - Subsets - Word Search Day 21: Divide and Conquer - Topics to Cover: - Basic concept, merge sort, quick sort, binary search - Practice Problems: - Median of Two Sorted Arrays - Pow(x, n) - Kth Largest Element in an Array (using divide and conquer) - Maximum Subarray (using divide and conquer) ### Week 4: Graphs and Dynamic Programming Day 22-24: Graphs - Topics to Cover: - Graph representations (adjacency list, adjacency matrix) - Traversal algorithms (DFS, BFS) - Shortest path algorithms (Dijkstra's, Bellman-Ford) - Practice Problems: - Number of Islands Day 25-27: Dynamic Programming - Topics to Cover: - Basic concept, memoization, tabulation - Common problems (knapsack, longest common subsequence) - Practice Problems: - Longest Increasing Subsequence - Maximum Product Subarray Day 28: Advanced Topics and Miscellaneous - Topics to Cover: - Bit manipulation - Greedy algorithms - Miscellaneous problems (trie, segment tree, disjoint set) - Practice Problems: - Single Number - Decode Ways - Minimum Spanning Tree ### Week 5: Review and Mock Interviews Day 29: Review and Weakness Analysis - Activities:   - Review topics you found difficult   - Revisit problems you struggled with Day 30: Mock Interviews and Practice - Activities:   - Conduct mock interviews with a friend or use online platforms   - Focus on communication and explaining your thought process Top DSA resources to crack coding interview 👉 GeekforGeeks 👉 Leetcode 👉 DSA Steps 👉 FreeCodeCamp 👉 Coding Interviews 👉 Best DSA Resources Join for more: https://t.me/free4unow_backup ENJOY LEARNING 👍👍

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𝗛𝗼𝘄 𝘁𝗼 𝗰𝗼𝗱𝗲 𝘄𝗶𝘁𝗵 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁? A recent study by GitHub and Microsoft discovered that AI now auth
𝗛𝗼𝘄 𝘁𝗼 𝗰𝗼𝗱𝗲 𝘄𝗶𝘁𝗵 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁? A recent study by GitHub and Microsoft discovered that AI now authors 46% of new code. They also found that overall developer productivity surged by 55%, leading to more efficient coding processes. When we talk about AI-powered coding, we mainly talk about GitHub Copilot. But 𝗵𝗼𝘄 𝗚𝗶𝘁𝗛𝘂𝗯 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝘄𝗼𝗿𝗸𝘀? The process goes in the following steps: 𝟭. 𝗦𝗲𝗰𝘂𝗿𝗲 𝗽𝗿𝗼𝗺𝗽𝘁 𝘁𝗿𝗮𝗻𝘀𝗺𝗶𝘀𝘀𝗶𝗼𝗻: Your prompts are securely sent to Copilot, ensuring data privacy. 𝟮. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴: Copilot analyzes the code around your cursor, the file type, and other open files to offer relevant suggestions. 𝟯. 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗳𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴: It filters out personal data and inappropriate content, focusing solely on generating helpful code. 𝟰. 𝗖𝗼𝗱𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Based on the intent identified in your prompts, Copilot crafts code suggestions that align with your coding style and project standards. 𝟱. 𝗨𝘀𝗲𝗿 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Here, we can decide whether to use, tweak, or reject Copilot's suggestions. 𝟲. 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗹𝗼𝗼𝗽: Copilot learns from your interactions, improving its suggestions. Every time you tweak or reject its ideas, he knows from it. It employs techniques like zero-shot (asking without examples), one-shot (asking with an example), and few-shot learning (providing multiple examples) to adapt to our instructions, whether you provide examples or not. 𝟳. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗵𝗶𝘀𝘁𝗼𝗿𝘆 𝗿𝗲𝘁𝗲𝗻𝘁𝗶𝗼𝗻: It remembers past prompts and interactions, making future suggestions more accurate.

Software Engineer: C++ C# Java, Python, JavaScript Web Dev: HTML, CSS, JavaScript, NodeJS Game Dev: Unity, Unreal, Java App D
Software Engineer: C++ C# Java, Python, JavaScript Web Dev: HTML, CSS, JavaScript, NodeJS Game Dev: Unity, Unreal, Java App Dev: Flutter, Objective C, Java, Swift, Kotlin, React Cyber Security: Python, Linux, Networking AI & Data Science - Julia, Haskell

Repost from Star Union News
Europe is Elon Musk’s next target — and he is already making moves Having successfully accomplished getting his candidate int
Europe is Elon Musk’s next target — and he is already making moves Having successfully accomplished getting his candidate into the White House, Elon Musk has set his sights on Europe. In a series of posts on his platform X in recent weeks, the billionaire Trump supporter, took shots at Germany and the United Kingdom, criticizing the respective governments, questioning their laws and their economic viability, reports Bloomberg. During the US presidential election, Great Britain and Germany openly sided with the Democrats. Now Elon Musk is mocking the two countries, criticizing their ruling political elites. The consistent failures of the German and British governments is becoming apparent to an increasing number of political analysts. They insist that it was mismanagement that caused the large-scale crises in these once-great countries. #Musk #Germany #Britishgovernments 🇪🇺 Keep up with the latest Star Union News  🖥

Master C programming in 30 days with free resources Week 1: Basics 1. Days 1-3: Learn the basics of C syntax, data types, and variables. 2. Days 4-7: Study control structures like loops (for, while) and conditional statements (if, switch). Week 2: Functions and Arrays 3. Days 8-10: Understand functions, how to create them, and pass parameters. 4. Days 11-14: Dive into arrays and how to manipulate them. Week 3: Pointers and Memory Management 5. Days 15-17: Learn about pointers and their role in C programming. 6. Days 18-21: Study memory management, dynamic memory allocation, and deallocation (malloc, free). Week 4: File Handling and Advanced Topics 7. Days 22-24: Explore file handling and I/O operations in C. 8. Days 25-28: Learn about more advanced topics like structures, unions, and advanced data structures. 9. Days 29-30: Practice and review what you've learned. Work on small projects to apply your knowledge. Throughout the 30 days, make sure to: - Code every day to reinforce your learning. - Use online resources, tutorials, and textbooks. - Join C programming communities and forums for help and discussions. - Solve coding challenges and exercises to test your skills (e.g., HackerRank, LeetCode). - Document your progress and make notes. Free Resources to learn C Programming 👇👇 Introduction to C Programming CS50 Course by Harvard Master the basics of C Programming C Programming Project Let Us C Free Book Free Interactive C Tutorial Join @free4unow_backup for more free courses ENJOY LEARNING 👍👍