The Coding Space: C, C++, C#, Java, Python, Rust, Go, PHP and More

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📂 Full description The C# language got its start on Windows, but today you can find it almost everywhere. Whether its running on the cloud, to desktops with MacOS and Linux, to mobile operating systems like Android and iOS, C# has grown into a mature, powerful language for almost any programming purpose. In this course, Joe Marini dives into the fundamentals of C#, starting with a basic overview of language constructs like program flow and data types. He then gets into more advance topics such as functions, object-oriented programming techniques, and string processing. After this course, youll have a better understanding of C#, and how its combination of power, simplicity, and expressiveness make it an extremely versatile programming language that can be used for almost any scenario. This course includes Code Challenges powered by CoderPad. Code Challenges are interactive coding exercises with real-time feedback, so you can get hands-on coding practice alongside the course content to advance your programming skills.

🔅 Learning C# 🌐 Author: Joe Marini 🔰 Level: Beginner ⏰ Duration: 2h 54m

🌀 Learn the fundamentals of the C# language.

📗 Topics: C# 📤 Join The Coding Space for more courses

📱 Design Patterns in Java: Creational [EN] 🎓 What will you learn? Learn the main creational design patterns in Java. You will find out when to apply each of the five patterns defined by the "Gang of Four," how they help in architecture, and how to avoid their pitfalls. The course will improve your development skills and increase the readability of your code for the team.

🧿 OOP Introduction

🧿 Top 8 API architectural styles

🔰 Java vs Python 🔰 Imagine you're building your dream project. Do you go with Java or Python? - Java is like a structured classroom lecture: fast, efficient, and built for large-scale applications - Python is like an interactive online course: easy to learn, flexible, and perfect for rapid development

🚀 Model Context Protocol (MCP) Curriculum for Beginners Learn MCP with Hands-on Code Examples in C#, Java, JavaScript, Python, and TypeScript 🧠 Overview of the Model Context Protocol Curriculum

The Model Context Protocol (MCP) is an innovative framework designed to standardize communication between AI models and client applications. This open-source curriculum provides a structured learning path, featuring practical coding examples and real-world scenarios across popular programming languages such as C#, Java, JavaScript, TypeScript, and Python.

Whether you're an AI developer, system architect, or software engineer, this guide is your all-in-one resource for mastering MCP fundamentals and implementation techniques. 🔗 Resources: https://github.com/microsoft/mcp-for-beginners/blob/main/translations/en/README.md

📂 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

🔰 Microservices Architecture

📖 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