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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

The country is not specifiedTechnologies & Applications5 224...

📈 Analytical overview of Telegram channel The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More

Channel The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More (@the_coding_space) in the English language segment is an active participant. Currently, the community unites 25 314 subscribers, ranking 5 224 in the Technologies & Applications category.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 25 314 subscribers.

According to the latest data from 10 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 183 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 12.32%. Within the first 24 hours after publication, content typically collects 3.75% reactions from the total number of subscribers.
Post reach: On average, each post receives 3 119 views. Within the first day, a publication typically gains 950 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
Thematic interests: Content is focused on key topics such as programming, linkedin, linux, udemy, 040k|.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 11 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

25 314

Subscribers

-424 hours

+947 days

+18330 days

3 119

Post views

~ 95024 hours

~ 1 33748 hours

12.32%

Engagement rate

No data

Posts per day

Ads index

Posts Archive

25 314

📖 Microservices Best Practices

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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.

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🔰 Python vs Java 🔰

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14 - Final.zip131.63 MB

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13 - AI Ethics and Career Growth with AI - Part 03.zip275.70 MB

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13 - AI Ethics and Career Growth with AI - Part 02.zip255.32 MB

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13 - AI Ethics and Career Growth with AI - Part 01.zip368.83 MB

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12 - Coding with Common AI Tools.zip349.02 MB

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11 - Advanced Agent Capabilities.zip135.00 MB

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10 - Connecting AI to Real-World Applications - Part 04.zip232.43 MB

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10 - Connecting AI to Real-World Applications - Part 03.zip309.71 MB

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10 - Connecting AI to Real-World Applications - Part 02.zip369.27 MB

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10 - Connecting AI to Real-World Applications - Part 01.zip301.32 MB

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09 - Building AI Agents.zip148.89 MB

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08 - Getting Started with N8N and AI Agents.zip229.28 MB

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07 - AI Automation.zip320.21 MB

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06 - Using V0.zip125.93 MB

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05 - Using Cursor.zip182.70 MB