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The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More

The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More

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Welcome to the ultimate destination for Programming and Coding Tutorials! 💻🎓 Dive into a world of coding with tutorials on Java, Python, C, C++, Rust, and more. Buy ads: https://telega.io/c/The_Coding_Space

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El país no está especificadoTecnologías y Aplicaciones5 191

📈 Análisis del canal de Telegram The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More

El canal The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More (@the_coding_space) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 24 868 suscriptores, ocupando la posición 5 191 en la categoría Tecnologías y Aplicaciones.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 24 868 suscriptores.

Según los últimos datos del 19 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -41, y en las últimas 24 horas de 1, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 13.52%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 3.88% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 3 362 visualizaciones. En el primer día suele acumular 965 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 9.
  • Intereses temáticos: El contenido se centra en temas clave como programming, linkedin, linux, udemy, 040k|.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Welcome to the ultimate destination for Programming and Coding Tutorials! 💻🎓 Dive into a world of coding with tutorials on Java, Python, C, C++, Rust, and more. Buy ads: https://telega.io/c/The_Coding_Space

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 20 septiembre, 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.

24 868
Suscriptores
+124 horas
-57 días
-4130 días
Archivo de publicaciones
This is how you can remove Local Git Branches that do not exist on Remote git fetch -p: This command fetches changes from the
This is how you can remove Local Git Branches that do not exist on Remote git fetch -p: This command fetches changes from the remote repository and prunes (deletes) any remote-tracking branches that no longer exist on the remote. It ensures that your local repository is up-to-date with the state of the remote. &&: This is a shell operator that executes the command following it only if the command preceding it succeeds. git branch -vv: This command lists all the branches along with additional information, including the tracking branch and its status. | awk '/: gone]/{print $1}': This part of the command uses the awk command-line utility to filter the output. It looks for lines that contain the text : gone] (indicating that the remote branch has been deleted) and prints the first field (the branch name). | xargs -I {} git branch -d {}: This part of the command takes the output from the previous awk command (which is a list of branch names) and uses xargs to pass each branch name as an argument to the git branch -d command. The git branch -d command deletes the specified branches.

🔰 Basics of Programming
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🔰 Basics of Programming

🧿 Authentication vs Authorization
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🧿 Authentication vs Authorization

💠 6 Software Architectural Patterns You Must Know Choosing the right software architecture pattern is essential for solving
💠 6 Software Architectural Patterns You Must Know Choosing the right software architecture pattern is essential for solving problems efficiently. 1 - Layered Architecture Each layer plays a distinct and clear role within the application context. Great for applications that need to be built quickly. On the downside, source code can become unorganized if proper rules aren’t followed 2 - Microservices Architecture Break down a large system into smaller and more manageable components. Systems built with microservices architecture are fault tolerant. Also, each component can be scaled individually. On the downside, it might increase the complexity of the application. 3 - Event-Driven Architecture Services talk to each other by emitting events that other services may or may not consume. This style promotes loose coupling between components. However, testing individual components becomes challenging 4 - Client-Server Architecture It comprises two main components - clients and servers communicating over a network. Great for real-time services. However, servers can become a single point of failure. 5 - Plugin-based Architecture This pattern consists of two types of components - a core system and plugins. The plugin modules are independent components providing a specialized functionality. Great for applications that have to be expanded over time like IDEs. However, changing the core is difficult. 6 - Hexagonal Architecture This pattern creates an abstraction layer that protects the core of an application and isolates it from external integrations for better modularity. Also known as ports and adapters architecture. On the downside, this pattern can lead to increased development time and learning curve.

📂 Full description Java is one of the top five programming languages, and is used for websites, embedded controllers, and Android app development. Interested in learning how to code with Java? Join instructor Kathryn Hodge as she helps you get up and running with this popular language. Kathryn covers all the basics: data types, strings, functions, and loops. She helps you control the flow and logic of your code, and debug your project to make sure it runs perfectly. Along the way, she provides real-world examples and introduces challenges that allow you to practice your new skills. This course is perfect for developers who need to get up to speed with Java fast, as well as for beginning programmers who want their first taste of this popular language. This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.

🔅 Learning Java 17 🌐 Author: Kathryn Hodge 🔰 Level: Beginner ⏰ Duration: 2h 16m 🌀 Get started in Java programming. This c
🔅 Learning Java 17 🌐 Author: Kathryn Hodge 🔰 Level: BeginnerDuration: 2h 16m
🌀 Get started in Java programming. This course shows beginners how to write Java code and build simple Java applications.
📗 Topics: Java 📤 Join The Coding Space for more courses

📚 5 common mistakes new coders make
📚 5 common mistakes new coders make

🔰 7 Python Programs Every Programmer Should Know
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🔰 7 Python Programs Every Programmer Should Know

📂 Full description Recursion is part of the very fabric of computer science and software development, and whether you rarely use it or if its a key part of your development, theres a good chance recursion is happening behind the scenes. Recursion is a powerful tool in breaking down complex problems into more manageable segments, and knowledge of recursion is a desirable trait that employers look for in developer positions. In this course, Robin Andrews takes a deep dive into the concepts, techniques, and applications of recursion using Python. He starts with some real-world examples of recursion, and then shows how it pertains to software development. He covers classic recursive algorithms like factorials and Fibonacci numbers, before showing how to write recursive algorithms in Python through practice exercises. After completing this course, you will have a better idea of how to use recursive algorithms to solve a wide range of software development issues.

🔅 Python: Recursion 🌐 Author: Robin Andrews 🔰 Level: Intermediate ⏰ Duration: 2h 10m 🌀 This course takes an in-depth look
🔅 Python: Recursion 🌐 Author: Robin Andrews 🔰 Level: IntermediateDuration: 2h 10m
🌀 This course takes an in-depth look at recursion and its uses in Python.
📗 Topics: Programming, Python 📤 Join The Coding Space for more courses

Do you agree...😂 . . . . . . . .
Do you agree...😂 . . . . . . . .

💡 The Fundamental Pillars of Object-Oriented Programming Abstraction, Encapsulation, Inheritance, and Polymorphism are the f
💡 The Fundamental Pillars of Object-Oriented Programming
Abstraction, Encapsulation, Inheritance, and Polymorphism are the four pillars of object-oriented programming. What do they mean?
1 - Abstraction This is the process of hiding implementation details and showing only the essential features of an object. For example, a Vehicle class an abstract stop method. 2 - Encapsulation It involves wrapping data (fields) and methods in a single unit (class) and restricting direct access using access modifiers. For example, private fields public getters and setters. 3 - Inheritance The process of creating a new class (child) that inherits attributes and methods from an existing class (parent), thereby promoting code reuse. For example, a Car class inherits from a Vehicle class. 4 - Polymorphism It allows methods to perform differently based on the object they are invoked on. When two types share an inheritance chain, they can be used interchangeably with no errors.

8. Conclusion.zip8.38 MB

7. Software Development.zip106.67 MB

6. Inheritance and Composition.zip116.39 MB

5. Class Diagrams.zip164.93 MB