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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 55 784 suscriptores, ocupando la posición 2 357 en la categoría Tecnologías y Aplicaciones y el puesto 6 042 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 55 784 suscriptores.

Según los últimos datos del 03 noviembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -209, y en las últimas 24 horas de -6, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.11%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.56% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 177 visualizaciones. En el primer día suele acumular 313 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 04 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.

55 784
Suscriptores
-624 horas
-97 días
-20930 días
Archivo de publicaciones
Master Java programming in 15 days with Free Resources 😄👇 Days 1-3: Getting Started 1. Day 1: Install Java Development Kit (JDK) on your computer and set up your development environment. 2. Day 2: Learn the basics of Java syntax, variables, data types, and how to write a simple "Hello, World!" program. 3. Day 3: Dive into Java's Object-Oriented Programming (OOP) concepts, including classes and objects. Days 4-6: Control Flow and Data Structures 4. Day 4: Study control flow structures like if statements, loops (for, while), and switch statements. 5. Day 5: Learn about data structures such as arrays and ArrayLists for handling collections of data. 6. Day 6: Explore more advanced data structures like HashMaps and Sets. Days 7-9: Methods and Functions 7. Day 7: Understand methods and functions in Java, including method parameters and return values. 8. Day 8: Learn about method overloading and overriding, as well as access modifiers. 9. Day 9: Practice creating and using methods in your Java programs. Days 10-12: Exception Handling and File I/O 10. Day 10: Study exception handling to deal with runtime errors. 11. Day 11: Explore file input/output to read and write data to files. 12. Day 12: Combine exception handling and file I/O in practical applications. Days 13-15: Advanced Topics and Projects 13. Day 13: Learn about Java's built-in libraries, such as the Collections framework and the java.util package. 14. Day 14: Explore graphical user interfaces (GUI) using Java Swing or JavaFX. 15. Day 15: Work on a Java project to apply what you've learned. Build a simple application or program of your choice. FREE RESOURCES TO LEARN JAVA 👇👇 Introduction to Programming in Java: https://ocw.mit.edu/courses/6-092-introduction-to-programming-in-java-january-iap-2010/ Java Tutorial for complete beginners: https://bit.ly/3MkvQWf Introduction to Java Programming and Data Structures: https://t.me/programming_guide/573 Project Ideas for Java: https://t.me/Programming_experts/457 Free Website to Practice Java https://www.hackerrank.com/domains/java Join @free4unow_backup for more free courses ENJOY LEARNING👍👍

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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 👍👍

Top IDEs and Editors Used 👨🏻‍💻📝💡 1. 💻 VSCode (54% Usage) 2. 🚀 IntelliJ IDEA (34% Usage) 3. 🛠️ Visual Studio (31% Usage) 4. 🖊️ Vim (11% Usage) 5. 🌘 Eclipse (9% Usage) 6. 📜 Sublime Text (5.5% Usage) 7. 🐍 PyCharm (5% Usage) 8. 🍏 Xcode (4% Usage) 9. 📱 Android Studio (3% Usage) 10. 🌐 NetBeans (2% Usage) 11. ⚙️ Atom (2% Usage) #coding

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Software development is complex, and the fancy names don't help. Hashing vs. Encryption vs. Encoding 𝗛𝗮𝘀𝗵𝗶𝗻𝗴 This is a one-way process used for data integrity verification. When you hash data, you get a unique string representing the original data. It's a one-way street; once you hash something, you can't get the original data back from the hash. While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute. This property makes it perfect for verifying if someone altered the data. If even one-bit changes in the original data, the hash changes dramatically. 𝗘𝗻𝗰𝗿𝘆𝗽𝘁𝗶𝗼𝗻 This is the real deal when it comes to data security. It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext). Only those with the correct key can unlock (decrypt) the data and read it. This process is reversible, unlike hashing. Encryption is critical for protecting sensitive data from unauthorized access. 𝗘𝗻𝗰𝗼𝗱𝗶𝗻𝗴 This is all about data representation. It converts data from one format to another, making it easier to interpret and display. Common formats: • Base64 • UTF-8 • ASCII Encoding does NOT provide security! It's for data transmission and storage convenience. One common use of hashing is for secure password storage. When you create an account or set a password, the system hashes and stores the password in the database. During login, the system hashes the provided password and compares it to the stored hash without revealing the password.

How can you stand out as a software engineer? Learn the skills that others avoid: • Learn unit testing. • Learn CI/CD pipelines. • Learn automation tools. • Learn performance tuning. • Learn security best practices. • Learn effective branching strategies. • Learn cloud infrastructure management. Most fall short here.