Master coding interviews: How grokking coding interview patterns can help you prepare smartly. Coding interviews can be a bit of a pain. Not only do they take a lot of time to prepare for, but during the actual interview, you have to present your solutions to someone who is evaluating…

Coding patterns enhance our “ability to map a new problem to an already known problem.” — Preparing for coding interviews can be made easier by focusing on coding patterns. Every software engineer should learn coding patterns such as Sliding Window, Two Pointers, Two Heaps, etc. By doing so, software engineers will be able to develop the skill of “mapping a…

How to prepare more quickly for coding interviews — Coding interviews are getting harder every day. A few years back, brushing up on key data structures and going through 50–75 practice coding interview questions was more than enough prep for an interview. Today, everyone has access to massive sets of coding problems, and they’ve gotten more difficult as well…

How learning coding patterns make interview preparation easy and efficient. Being a pro at coding patterns makes life easier because we can quickly spot similarities between new problems and ones we’ve tackled before. This makes finding solutions a breeze. One super important coding pattern to know is the Merge Interval…

Act smart, and learn coding patterns for faster and more efficient preparation for coding interviews. Being proficient in coding patterns allows us to easily recognize similarities between new problems and ones we’ve previously encountered, making it simpler to find a solution. One of the most important coding patterns is Sliding…

Ace your system design interview with 7 must-read papers. Learning System Design in 2023 This post presents 7 must-read research papers to help you understand the key concepts of system design and prepare for your interview. From basic distributed systems to the latest industry trends, these papers cover it all. Whether you’re new to system…

Exploring the Concept of Database Sharding: Breaking Up Large Databases for Improved Performance What is Sharding? It is a technique used to scale a database by horizontally partitioning the data across multiple servers, or shards. The goal of sharding is to distribute the data and workload across multiple servers, so that each server…

A Comprehensive Guide to Big-O With Examples. — Big-O notation is a mathematical notation that is used to describe the performance or complexity of an algorithm, specifically how long an algorithm takes to run as the input size grows. Understanding Big-O notation is essential for software engineers, as it allows them to analyze and compare the efficiency of…

Get your next system design interview off to a great start. In this post, we will discuss seven system design concepts that can be used to solve design problems related to distributed systems. …