Android Developer

A short text course on algorithm analysis: all five asymptotic notations, time and space complexity, best, worst and average cases, and three methods for recursive complexity including the master theorem. It suits students and self-taught developers who can write working code but freeze when an interviewer asks for the time and space complexity, or who want to understand why one solution is faster than another.

• Job search
• DSA
• CS fundamentals

A foundations course that builds eleven core data structures from the ground up (arrays, matrices, stacks, queues, linked lists, trees and BSTs, hash tables, hash sets, heaps, graphs and tries), then covers sorting, searching, greedy and divide and conquer. Every chapter has practice problems, flashcards and an assessment. It suits students and career switchers whose foundations came from tutorials and who find pattern courses move too fast.

• Job search
• DSA
• CS fundamentals

A text-based course on how databases work underneath: storage and page layout, indexing, transactions and ACID, concurrency control, partitioning and sharding, replication and consistency, consensus and leader election, recovery, and the main NoSQL families. It ends with case studies designing the databases behind Quora, TikTok, Airbnb and Snapchat. It suits engineers who want their database choices in system design answers to be defensible rather than hand-waved.

• System design
• Databases
• Backend
• Job search

The second volume of Grokking the System Design Interview, aimed at senior and staff (L5/L6) design rounds. It works through harder case studies such as a payment system, flash sale, notification service, unique ID generator, Gmail, Reddit, Google Calendar and a code judging system, then goes beneath them with patterns like quorum, write-ahead logs and vector clocks and deep dives into Dynamo, Cassandra, Kafka, Chubby, HDFS, GFS and BigTable.

• System design
• Backend
• Job search

The quick-revision companion to the University to job-ready roadmap: OOP, Git and engineering practice, data structures, DBMS, operating systems and networks, then projects, choosing a direction, getting experience and the hiring process. It has editions for first or second year, third year, and final year. Revise a chapter a week alongside your courses and before assessments.

• Career
• Job search
• CS fundamentals
• DSA

The official guides for Firebase, Google's app development platform and the backend many student mobile and web apps start on. It covers Authentication, Cloud Firestore and Realtime Database, Cloud Storage, Cloud Functions, Hosting, Cloud Messaging for push notifications, Crashlytics, Analytics and newer AI features, with setup for Android, iOS, web and Flutter. The docs are free; services have a free tier and pay-as-you-go usage beyond it.

• Mobile
• Backend
• Databases