¡Ya disponible! Investigación de Telegram 2025 — los principales insights del año 
The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More
Ir al canal en Telegram
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
Mostrar másEl país no está especificadoTecnologías y Aplicaciones5 539
📈 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 24 695 suscriptores, ocupando la posición 5 539 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 24 695 suscriptores.
Según los últimos datos del 12 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 93, y en las últimas 24 horas de 0, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 20.52%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 4.91% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 5 067 visualizaciones. En el primer día suele acumular 1 213 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 12.
- 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 13 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 Tecnologías y Aplicaciones.
24 695
Suscriptores
Sin datos24 horas
+127 días
+9330 días
Archivo de publicaciones
💡 How to Ace System Design Interviews Like a Boss?
Follow this 7-step process to do well in a System Design Round
1 - Requirements Clarification
In the first step, clarify functional and non-functional requirements. Ask questions to understand the core features of the system as well as non-functional aspects such as data volume, availability, scale, etc.
2 - Capacity Estimation
Next, estimate the capacity of the system. Focus on attributes like the number of users, traffic, storage/memory needs, and compute and networking requirements.
3 - Create High-Level Design
Break down the system into components such as client apps, servers, load balancers, databases, etc.
Start with drawing a simple block diagram that shows these components and their potential interaction with each other. Focus on the data flow.
4 - Database Design
Model the data and choose the right database type for the system. Once done, focus on the database schema.
5 - Interface Design
Next, focus on the interfaces to the system. This could be API endpoints or event models exchanged between the various components of the system. Also, choose a communication approach such as REST, GraphQL, gRPC, or an event-driven
6 - Scalability and Performance
Address the scalability, performance, and latency aspects of the system by suggesting techniques that will be used. For example, vertical and horizontal scaling, caching, indexing, denormalizing, sharding, replication, CDNs, etc.
7 - Reliability and Resiliency
Lastly, address the reliability and resiliency of the design. Identify single points of failure and mitigate their impact.
🔗 List of Free Learning sites to Upskill
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📱The Coding Space
📱Functional Programming in C++
📂 Full description
Explore the application of functional programming principles in modern C++ using features introduced in C++17, C++20, and C++23. In this course, instructor Troy MIles shows you how to write more modular, expressive, and efficient code by leveraging features such as lambdas, ranges, coroutines, and concepts. Along the way, discover how functional pipelines, metaprogramming, and the constexpr specifier can transform your approach to problem-solving in C++. This course also covers functional reactive programming, pattern matching, and the integration of functional and imperative styles to help you master advanced C++ techniques.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Check out “Using GitHub Codespaces" with this course to learn how to get started.
🔅 Functional Programming in C++
🌐 Author: Troy Miles
🔰 Level: Intermediate
⏰ Duration: 4h 25m
🌀 Learn how to apply functional programming principles in modern C++ using features like lambdas, ranges, coroutines, and concepts to write more expressive, efficient code.📗 Topics: Functional Programming, C++ 📤 Join The Coding Space for more courses
+3
🧿 VS Code Keyboard Shortcuts
Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻
It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches.
⚡️ Place your ad here in three simple steps:
1 Sign up
2 Top up the balance in a convenient way
3 Create your advertising post
If your ad aligns with our content, we’ll gladly publish it.
Start your promotion journey now!
💡 Top 6 Multithreading Design Patterns You Must Know
Multithreading enables a single program or process to execute multiple tasks concurrently. Each task is a thread. Think of threads as lightweight units of execution that share the resources of the process such as memory space.However, multithreading also introduces complexities like synchronization, communication, and potential race conditions. This is where patterns help. 1 - Producer-Consumer Pattern This pattern involves two types of threads: producers generating data and consumers processing that data. A blocking queue acts as a buffer between the two. 2 - Thread Pool Pattern In this pattern, there is a pool of worker threads that can be reused for executing tasks. Using a pool removes the overhead of creating and destroying threads. Great for executing a large number of short-lived tasks. 3 - Futures and Promises Pattern In this pattern, the promise is an object that holds the eventual results and the future provides a way to access the result. This is great for executing long-running operations concurrently without blocking the main thread. 4 - Monitor Object Pattern Ensures that only one thread can access or modify a shared resource within an object at a time. This helps prevent race conditions. The pattern is required when you need to protect shared data or resources from concurrent access. 5 - Barrier Pattern Synchronizes a group of threads. Each thread executes until it reaches a barrier point in the code and blocks until all threads have reached the same barrier. Ideal for parallel tasks that need to reach a specific stage before starting the next stage. 6 - Read-Write Lock Pattern It allows multiple threads to read from a shared resource but only allows one thread to write to it at a time. Ideal for managing shared resources where reads are more frequent than writes.
