Arrays and Vectors in C++: Advanced Data Handling
Arrays and Vectors are the fundamental containers for managing collections of elements in C++. While arrays provide a fixed-size, high-performance way to store data, vectors offer the flexibility of dynamic resizing, making them indispensable for modern software development where dataset sizes often change at runtime.
This module provides practical, hands-on C++ container exercises. You will master index-based access, efficient iteration techniques, and critical algorithms for sorting, searching, and filtering data within these structures.
Core Technical Concepts Mastered:
- Static Array initialization
- Dynamic std::vector resizing
- Linear and Binary searching
- Element-wise mathematical operations
- Memory management & bounds checking
- Array symmetry and Palindromes
Arrays & Vectors Exercise List (Full Access)
| Practical Challenge | Skill & Description |
|---|---|
| Sort Array Ascending | Implement sorting algorithms to organize datasets for optimized retrieval. |
| Sum of Elements | Learn to traverse containers to perform aggregate mathematical calculations. |
| Search for Number | Develop lookup logic to find and locate indices of specific data points. |
| Calculate Average | Combine summation and size attributes for basic statistical data analysis. |
| Remove Element | Master index management by shifting elements after a deletion. |
| Find Largest Number | Implement max-finding algorithms through iterative comparison. |
| Reverse Array | Practice in-place manipulation to flip the order of a collection. |
| Sum Two Arrays | Perform vectorized math by processing two independent arrays in parallel. |
| Remove Duplicates | Filter data to ensure uniqueness, a key step in data cleaning. |
| Symmetry Check | Verify palindrome properties in arrays using two-pointer techniques. |