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Frequently asked unweighted graph algorithms
Graphs are important in computer science and are used in many areas like maps, social networks, and scheduling tasks. A graph consists of nodes (vertices) and edges (connections). In solving problems with graphs, basic algorithms like Breadth-First Search (BFS) and Depth-First Search (DFS) help find paths and explore graphs. More advanced methods, such as Kosaraju’s and Tarjan’s algorithms, identify strongly connected node groups in directed graphs. Graph coloring is useful for problems that need different labels for connected nodes. Hamiltonian path and cycle problems explore whether it’s possible to visit all nodes in a single path or cycle. Understanding these algorithms is key to solving interview challenges and real-world problems effectively.
Hassan Shahzad
Nov 25 · 2024
How to use the STAR method to ace your FAANG interview
In this blog, we’ll explore how to ace FAANG behavioral interviews using the STAR method, breaking down strategies to craft impactful, structured responses.
Muhammad Bilal
Nov 22 · 2024
Efficient algorithms: Your guide to mastering complexity
This blog explores algorithm complexity, covering Big O, Big Omega, and Big Theta, along with time and space complexities. It delves into techniques to enhance efficiency, such as optimizing algorithms, selecting the right data structures, and leveraging algorithmic paradigms, offering a comprehensive guide to mastering algorithmic challenges.
Muhammad Hamza
Nov 18 · 2024
Using System Design concepts in React: A primer
On the face of it, System Design and React seems to be completely unrelated. However, in reality, there are several front-end system design concepts which are integral to optimal system design which can also be applied to front-end design in React. In this blog, we connect System Design and React to help illustrate these concepts.
Muaz Niazi
Nov 15 · 2024
Time management strategies for coding interview
Mastering time management is critical for excelling in coding interviews, where preparation involves tackling multiple formats and various technical topics. This blog dives deep into essential coding interview preparation strategies, including understanding the different interview types like system design, technical coding, and behavioral rounds. It also covers setting achievable goals, creating an optimized study schedule, and prioritizing topics such as data structures, algorithms, and problem-solving techniques. With tips on leveraging top interview preparation resources, tracking progress, and staying flexible, this guide ensures you’re equipped for success in your next coding interview.
Dian Us Suqlain
Nov 15 · 2024
10 common binary search interview questions
Binary search is a cornerstone algorithm in technical interviews, frequently used to assess a candidate's problem-solving and optimization skills. This blog dives into ten common binary search interview questions asked by top tech companies like Google, Amazon, and Microsoft. Each question is carefully selected to demonstrate variations and extensions of the basic binary search technique, ranging from simple tasks like finding the insert position in an array to complex challenges like identifying the median of two sorted arrays. With detailed explanations, step-by-step solutions, and insights into problem difficulty, this guide will prepare you to confidently tackle binary search problems in coding interviews.
Adeel Qayyum
Nov 14 · 2024
The All-in-One System Design Master Template
System Design template is like a boilerplate design in mind to demonstrate that you understand how to build systems and how to build them to last. Rather than tackling each new project from scratch or learning by trial and error, a master template helps you create a blueprint incorporating best practices, proven strategies, and scalable architecture.
Yasir Latif
Nov 13 · 2024
Doing LeetCode in different programming languages for interviews
The blog discusses the advantages and disadvantages of using one or multiple programming languages for LeetCode practice. Key factors to consider include familiarity, career stage, time constraints, interview duration, and company requirements. While Python's simplicity and readability make it a popular choice, other languages like Java or C++ might be more suitable for specific scenarios. The ideal approach is to balance language proficiency with strong problem-solving skills to maximize success in technical interviews.
Ishrat Fatima
Nov 12 · 2024
How can you make your resume stand out to FAANG recruiters
In this blog, we’ll explore strategies to make your resume stand out to FAANG recruiters, covering key elements from impactful summaries to ATS keywords and soft skills.
Muhammad Bilal
Nov 11 · 2024