اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
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
نمایش بیشترکشور مشخص نشده استفناوری و برنامهها5 541
📈 تحلیل کانال تلگرام The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More
کانال The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More (@the_coding_space) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 24 698 مشترک است و جایگاه 5 541 را در دسته فناوری و برنامهها دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 24 698 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 11 ژوئن, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 93 و در ۲۴ ساعت گذشته برابر 7 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 19.47% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.91% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 4 807 بازدید دریافت میکند. در اولین روز معمولاً 1 213 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 11 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند programming, linkedin, linux, udemy, 040k| تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 12 ژوئن, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
24 698
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💡 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
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💡 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.
