How to prepare for coding interview in 2025 👇👇
1. Master Data Structures and Algorithms: Make sure you have a solid understanding of common data structures (such as arrays, linked lists, trees, graphs, etc.) and algorithms (sorting, searching, dynamic programming, etc.). Practice implementing them in your preferred programming language.
2. Practice Coding Problems: Solve coding problems on platforms like LeetCode, HackerRank, or CodeSignal. Focus on a variety of problem types to improve your problem-solving skills.
3. Review System Design Concepts: Understand the basics of system design principles and practice designing scalable systems. Resources like Grokking the System Design Interview can be helpful.
4. Learn the Latest Technologies: Stay updated with the latest technologies and trends in the industry. Familiarize yourself with popular frameworks, libraries, and tools that are commonly used in software development.
5. Mock Interviews: Practice mock interviews with friends, mentors, or through online platforms to simulate the interview experience. This will help you get comfortable with coding under pressure and receiving feedback.
6. Stay Consistent: Set aside dedicated time each day to practice coding problems and review concepts. Consistency is key to improving your skills over time.
7. Stay Calm and Confident: Remember that interviews are not just about technical skills but also about how you communicate and approach problem-solving. Stay calm, confident, and be prepared to explain your thought process during the interview.
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All the best 👍👍
1. Master Data Structures and Algorithms: Make sure you have a solid understanding of common data structures (such as arrays, linked lists, trees, graphs, etc.) and algorithms (sorting, searching, dynamic programming, etc.). Practice implementing them in your preferred programming language.
2. Practice Coding Problems: Solve coding problems on platforms like LeetCode, HackerRank, or CodeSignal. Focus on a variety of problem types to improve your problem-solving skills.
3. Review System Design Concepts: Understand the basics of system design principles and practice designing scalable systems. Resources like Grokking the System Design Interview can be helpful.
4. Learn the Latest Technologies: Stay updated with the latest technologies and trends in the industry. Familiarize yourself with popular frameworks, libraries, and tools that are commonly used in software development.
5. Mock Interviews: Practice mock interviews with friends, mentors, or through online platforms to simulate the interview experience. This will help you get comfortable with coding under pressure and receiving feedback.
6. Stay Consistent: Set aside dedicated time each day to practice coding problems and review concepts. Consistency is key to improving your skills over time.
7. Stay Calm and Confident: Remember that interviews are not just about technical skills but also about how you communicate and approach problem-solving. Stay calm, confident, and be prepared to explain your thought process during the interview.
Credits: https://t.me/free4unow_backup
All the best 👍👍
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Important DSA concepts:
• Arrays
• Strings
• Sorting & Searching
• Hashing
• Linked List
• Stack & Queue
• Recursion & Backtracking
• Binary Tree & BST
• Heap & Priority Queue
• Graph Theory
• Dynamic Programming (DP)
• Greedy Algorithms
• Bit Manipulation
• Math & Number Theory
• Trie & Advanced Data Structures
• Arrays
• Strings
• Sorting & Searching
• Hashing
• Linked List
• Stack & Queue
• Recursion & Backtracking
• Binary Tree & BST
• Heap & Priority Queue
• Graph Theory
• Dynamic Programming (DP)
• Greedy Algorithms
• Bit Manipulation
• Math & Number Theory
• Trie & Advanced Data Structures
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Why Algorithm is Important for a Program
An efficient algorithm determines how fast and effectively a program can solve a problem. While modern hardware provides abundant memory, execution time remains a critical factor. Faster algorithms save time, enhance user experience, and enable scalability, especially for large datasets or real-time applications. A poor algorithm can lead to inefficiencies that no amount of hardware can fix.
Why Space is Less Important
With advancements in technology, storage has become cheaper and more abundant. For most applications, the cost of additional memory is negligible compared to the time lost due to an inefficient algorithm. However, in constrained environments (like embedded systems), space considerations may still matter.
An efficient algorithm determines how fast and effectively a program can solve a problem. While modern hardware provides abundant memory, execution time remains a critical factor. Faster algorithms save time, enhance user experience, and enable scalability, especially for large datasets or real-time applications. A poor algorithm can lead to inefficiencies that no amount of hardware can fix.
Why Space is Less Important
With advancements in technology, storage has become cheaper and more abundant. For most applications, the cost of additional memory is negligible compared to the time lost due to an inefficient algorithm. However, in constrained environments (like embedded systems), space considerations may still matter.
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List of most asked Programming Interview Questions.
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
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