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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📈 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 24 869 subscribers, ranking 5 196 in the Technologies & Applications category.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 24 869 subscribers.
According to the latest data from 18 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -39 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.90%. Within the first 24 hours after publication, content typically collects 3.88% reactions from the total number of subscribers.
- Post reach: On average, each post receives 3 457 views. Within the first day, a publication typically gains 965 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 7.
- 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 19 September, 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.
24 869
Subscribers
-224 hours
-107 days
-3930 days
Posts Archive
📱The Coding Space
📱C# Algorithms
📂 Full description
Algorithms are one of the fundamental pillars in every software application, and once you understand them, you can create more efficient and maintainable programs. In this course, instructor Kathryn Hodge uses instruction and hands-on practice to show you how to create better C# programs by using efficient algorithms. Kathryn discusses what makes an algorithm effective, as well as how to make informed assumptions about your data to create better algorithms. She focuses on how to create efficient algorithms to work with different types of data, including strings, arrays, linked lists, queues, stacks, hash-based structures, and trees. Many algorithms are built into the C# language, and Kathryn covers how to use these to create your own custom algorithms, so you can work with your data exactly the way you want. She also dives into how to leverage different data structures to create better algorithms in analyzing or manipulating their data.
🔅 C# Algorithms
🌐 Author: Kathryn Hodge
🔰 Level: Advanced
⏰ Duration: 2h 46m
🌀 Learn how to create better C# programs by using efficient algorithms.📗 Topics: C#, Algorithms 📤 Join The Coding Space for more courses
A useful find on GitHub CheatSheets-for-Developers
LINK: https://github.com/crescentpartha/CheatSheets-for-Developers
This is a huge collection of cheat sheets for a wide variety of technologies:
JavaScript, Python, Git, Docker, SQL, Linux, Regex, and many others.Conveniently structured — you can quickly find the topic you need. Save it and use it 🔥
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Top Programming Languages of 2024 🚀📈
Learn them all at The Coding Space
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🧿 Programmer vs. Developer 🔥
📖 Data Structure and Algorithm Patterns for LeetCode Interviews – Tutorial
This is a comprehensive course on data structures and algorithms. algo monster will break down the most essential data structures—like arrays, strings, sets, hashmaps, and heaps, and he'll show you exactly how and when to use them. You’ll also master core algorithmic patterns such as two pointers, sliding windows, binary search, breadth-first search (BFS), depth-first search (DFS), and backtracking, all explained with clear examples and real interview problems.⭐️ Contents ⭐️ ⌨️ (0:00:00) Array ⌨️ (0:03:11) String ⌨️ (0:04:56) Set ⌨️ (0:06:40) Control Flow & Looping ⌨️ (0:07:32) Big O Notation ⌨️ (0:10:02) Hashmap ⌨️ (0:15:54) Hashmap practice problems ⌨️ (0:18:52) Two Pointers ⌨️ (0:22:56) Two Pointers practice problems ⌨️ (0:26:48) Sliding Window ⌨️ (0:31:45) Sliding Window practice problems ⌨️ (0:37:39) Binary Search ⌨️ (0:39:28) Binary Search practice problems ⌨️ (0:48:28) Breadth-First Search (BFS) on Trees ⌨️ (0:50:36) BFS on Graphs ⌨️ (0:52:13) BFS practice problems ⌨️ (0:57:31) Depth-First Search (DFS) ⌨️ (0:59:01) DFS on Graphs ⌨️ (1:00:24) DFS practice problems ⌨️ (1:05:01) Backtracking ⌨️ (1:08:14) Backtracking practice problems ⌨️ (1:10:27) Priority Queue/heap ⌨️ (1:11:36) Priority Queue/heap practice problems
🧿 8 Most-Used Distributed System Design Patterns
If you are building a distributed system, you’ll need to use some of these patterns.1 - Ambassador Pattern Focuses on offloading all major tasks other than business logic to helper services. Example of such tasks include logging, monitoring, and retries. 2 - Circuit Breaker Pattern This pattern helps prevent cascading failures when one service calls another service by preventing such calls. 3 - CQRS Pattern Separate read and write operations for better flexibility and supporting different scaling requirements. 4 - Sharding Split a monolithic database into multiple partitions known as shards for better horizontal scalability. 5 - Sidecar Pattern Deploy auxiliary components alongside the main service containers to manage cross-cutting concerns like configuration management, logging, and monitoring. 6 - Pub/Sub Used for asynchronous communication between publisher services and subscriber services. 7 - Leader Election In distributed systems, some tasks (such as leader-follower replication) need a single leader. Leader election algorithms ensure that only one node is designated as the leader. 8 - Event Sourcing Store the events or state changes in a separate event store. The event store can add the event to a message broker to update the read database.
40. Array Interview LeetCode Exercises
38. Quick Sort Coding Exercises
36. Merge Interview LeetCode Exercise
35. Merge Sort Coding Exercises
33. Basic Sorts Interview LeetCode Exercises
