CARVIEW |
Intermediate
15h
Algorithms for Coding Interviews in C++
Content
1.
Introduction
2 Lessons
2.
Algorithmic Paradigms
4 Lessons
3.
Introduction to Complexity Measures
22 Lessons
4.
Sorting & Searching
26 Lessons
5.
Graph Algorithms
22 Lessons
6.
Greedy Algorithms
23 Lessons
7.
Dynamic Programming
25 Lessons
8.
Divide and Conquer
23 Lessons
9.
Appendix: Auxiliary Source Code
4 Lessons
10.
Conclusion
2 Lessons
Course Author:
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Anthony Walker
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Carlos Matias La Borde
Souvik Kundu
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Frequently Asked Questions
How to prepare for a C++ coding interview
Focus on mastering data structures (arrays, linked lists, stacks, queues, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, greedy techniques). Practice solving problems on platforms like LeetCode, Codeforces, and HackerRank, and familiarize yourself with C++ STL. Understand time and space complexity and review common design patterns.
Is C++ good for coding interviews?
Yes, C++ is a solid choice for coding interviews. It provides a good mix of low-level control and high-level abstraction, with powerful tools like STL for fast implementations of algorithms and data structures. Its performance and memory management capabilities make it ideal for handling complex problems.
What are the most used C++ algorithms?
Common algorithms in C++ interviews include sorting algorithms (quick sort, merge sort), searching algorithms (binary search), graph algorithms (DFS, BFS, Dijkstra’s), dynamic programming (knapsack, longest common subsequence), and greedy algorithms (Huffman coding). STL algorithms like sort and lower_bound are also widely used.
Are C++ coders in demand?
Yes, C++ developers remain in high demand, especially in industries requiring performance-critical applications like gaming, finance, systems programming, and embedded systems. Their efficiency in handling large-scale, real-time applications makes them valuable skills in today’s job market.
Does Google hire C++ developers?
Yes, Google hires C++ developers for various roles, especially in systems engineering, infrastructure, and performance-critical applications. Google values C++ for its efficiency and control over hardware resources, making it essential for developing scalable, high-performance software solutions.