DEV·1yLearn Big O Notation once and for all
This post provides a comprehensive explanation of Big O Notation, which is used to classify algorithms based on their time and space complexity as the input size grows. Examples for different time complexities like O(n), O(1), O(n^2), O(n*m), O(log n), O(n log n), O(2^n), and O(n!) are provided with detailed algorithms and coding snippets. The goal is to help readers understand and recall these concepts for coding interviews.
YouTube·1yHow I Mastered Data Structures and Algorithms in 8 Weeks
Learn how to master data structures and algorithms in just 8 weeks through a practical, hands-on approach. Avoid common pitfalls like over-reliance on textbooks and tutorials. Instead, practice solving problems and seek help only when necessary. Form or join a small study group for accountability, consistency, and competitive motivation. Use techniques like the five whys to deeply understand each concept and ensure you can apply your knowledge effectively in coding interviews.
Community Picks·1y7 challenges to do before a React interview
The post lists seven coding challenges to help candidates prepare for a React interview. Each challenge focuses on different skills such as data fetching, state management, working with intervals, local storage, forms, and component structuring. Completing these tasks will assist in warming up for potential interview tasks.
Tech With Tim·1yIf I Wanted To Land a Software Engineering Internship in 2025 I'd Do This...
To secure a software engineering internship in 2025, start preparing early by solving coding problems daily and refining your resume. Focus on building one or two high-quality projects that solve real-world problems and are user-friendly. Network with peers and professionals to increase your chances of getting referrals, and apply to many positions, including at smaller companies. Tailor your resume to each job application and be professional and well-prepared for interviews.