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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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📈 Telegram kanali The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More analitikasi

The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More (@the_coding_space) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 24 869 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 5 196-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 24 869 obunachiga ega bo‘ldi.

18 Sentabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -39 ga, so‘nggi 24 soatda esa -2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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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

Yuqori yangilanish chastotasi (oxirgi ma’lumot 19 Sentabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

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📂 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
🔅 C# Algorithms 🌐 Author: Kathryn Hodge 🔰 Level: AdvancedDuration: 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 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

🔰 Microservices Architecture
🔰 Microservices Architecture

🧿 Programmer vs. Developer 🔥
🧿 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
🧿 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

39. Dynamic Programming

38. Quick Sort Coding Exercises

36. Merge Interview LeetCode Exercise

⚠️ To be continued ⚠️

35. Merge Sort Coding Exercises

33. Basic Sorts Interview LeetCode Exercises