1) Master the Fundamentals: Ensure you have a strong foundation in computer science concepts such as data structures, algorithms, object-oriented programming, and system design. This forms the backbone of your technical skills.
2) Learn Multiple Programming Languages: While it's essential to be proficient in at least one programming language, familiarize yourself with multiple languages as each has its strengths and use cases.
3) Build Projects: Practice by working on real-world projects. Building applications, and websites, or contributing to open-source projects will help you apply your knowledge and gain valuable experience.
4) Stay Updated: The tech industry evolves rapidly. Keep yourself updated with the latest technologies, programming languages, frameworks, and tools.
5) Code Review and Collaboration: Participate in code reviews and collaborate with other developers. This helps you learn from others, improve your coding skills, and understand different perspectives.
1) Clear and Concise Format: Keep your resume clean, well-organized, and easy to read. Use a professional font, appropriate headings, and bullet points to present information clearly.
2) Tailor Your Resume: Customize your resume for each job application. Highlight relevant skills, experiences, and accomplishments that align with the specific job requirements.
3) Use Keywords: Many employers use applicant tracking systems (ATS) to screen resumes. Incorporate relevant keywords from the job description to increase the chances of your resume getting noticed.
Timing: The coding interview was scheduled for 3:00 PM.
Environment: The coding interview took place in a well-lit conference room with a whiteboard for coding exercises. The room was quiet and conducive to focusing on the problem-solving process.
Any other significant activity: Before the coding interview, there was a brief introductory session where the interviewer explained the format of the interview and made the candidate feel comfortable.
The Interviewer: The interviewer was friendly and approachable, creating a relaxed atmosphere to help the candidate perform their best. They provided clear instructions and encouraged the candidate to ask questions if needed.



• The reference to the head of the linked list is not given.
• The node to be deleted is not a tail node.
• The value of each node in the Linked List is unique.
• It is guaranteed that the node to be deleted is present in the linked list.




Given two sorted linked lists, list1, and list2, merge them to create a new sorted linked list that contains all the elements from both lists in ascending order.



Given an array nums of distinct integers and a target sum target, find all unique triplets in the array that add up to the target sum. Each triplet should be a list of three integers and should not contain duplicate triplets.



You may assume that given ‘X’ and ‘Y’ definitely exist in the given binary tree.
For the given binary tree

LCA of ‘X’ and ‘Y’ is highlighted in yellow colour.



The Minimum Cost Path problem is a classic optimization problem in graph theory and dynamic programming. Given a 2D grid or matrix with non-negative integer weights assigned to each cell, the goal is to find the minimum cost path from the top-left cell to the bottom-right cell while moving only rightwards or downwards.



The Longest Increasing Subsequence (LIS) problem is a classic algorithmic problem where the goal is to find the length of the longest subsequence of a given array that is in strictly increasing order. A subsequence is a sequence that can be derived from the original array by deleting some elements without changing the order of the remaining elements.

Here's your problem of the day
Solving this problem will increase your chance to get selected in this company
What is recursion?