Arrays in Data Structures Explained | Learn Arrays in 12 Minutes for Beginners 🔥💻

Описание: 📚 Welcome to your complete guide to Arrays — one of the most essential concepts in computer science!
In this video, you’ll learn what arrays are, how they work, how data is stored in memory, and why arrays are the foundation for advanced data structures like stacks, queues, and heaps.

We’ll cover everything — from declaration and initialization to searching, sorting, multi-dimensional arrays, and dynamic arrays — all explained simply with examples that apply across Python, Java, C, and C++.

Whether you’re a beginner learning data structures or preparing for coding interviews, this lesson will give you a rock-solid understanding of arrays and how to use them efficiently.

💡 What You’ll Learn:
✅ What is an Array and How It Works
✅ Indexing, Traversal & Memory Allocation
✅ One-Dimensional vs Multi-Dimensional Arrays
✅ Searching, Sorting & Copying Arrays
✅ Dynamic, Jagged, and Sparse Arrays
✅ Arrays vs Lists & Real-World Applications

🎯 Don’t forget to subscribe to StudyBeLike – 2004 for more easy-to-understand lessons on Data Structures, Algorithms, and Programming Fundamentals!

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🕒 Timestamps:

00:00 – Introduction: What Are Arrays?
00:26 – Definition and Importance of Arrays
00:49 – How Arrays Store Data in Memory
01:14 – Understanding Indexing in Arrays
01:33 – Types of Arrays (1D, 2D, Multi-Dimensional)
01:51 – One-Dimensional Arrays Explained
02:09 – Multi-Dimensional Arrays (Matrices & Tables)
02:28 – Declaring Arrays in Different Languages
02:46 – Initializing Arrays with Values
03:04 – Accessing Array Elements
03:23 – Modifying Array Values
03:41 – Finding Array Length or Size
03:57 – Looping Through Arrays (Traversal)
04:15 – Common Array Operations (Search, Sort, Copy)
04:33 – Searching in Arrays (Linear & Binary Search)
04:51 – Sorting Arrays (Ascending & Descending)
05:08 – Copying Arrays (Manual & Built-in Methods)
05:25 – Limitations of Fixed Arrays
05:42 – Dynamic Arrays (Lists, ArrayList)
06:00 – Arrays vs Lists
06:16 – Arrays in Different Programming Languages
06:34 – Real-World Uses of Arrays
06:51 – Arrays in Algorithms (Sorting, Searching)
07:08 – Memory Efficiency of Arrays
07:24 – Common Array Errors (Out-of-Bounds)
07:41 – Multi-Dimensional Arrays in Practice
07:58 – Jagged Arrays Explained
08:14 – Traversing Arrays (For, While, Iterators)
08:30 – Passing Arrays to Functions
08:47 – Returning Arrays from Functions
09:02 – Arrays and Pointers (C/C++)
09:19 – Array Slicing (Subarrays)
09:37 – Resizing Arrays
09:54 – Memory Allocation for Arrays
10:09 – Garbage Collection and Arrays
10:26 – Mutable vs Immutable Arrays
10:44 – Sparse Arrays Explained
10:59 – Associative Arrays (Maps & Dictionaries)
11:16 – Real-World Applications of Arrays
11:32 – Best Practices When Using Arrays
11:47 – Performance and Efficiency
12:04 – Arrays as the Foundation for Data Structures
12:18 – Recap: What You’ve Learned About Arrays
12:35 – How to Learn More About Arrays
12:50 – Conclusion: Master Arrays to Master Programming 🚀