Description:
Ready to level up from "beginner coding" to real computer science thinking?
Computer Science: Intermediate to Advanced (Vol. 2) is a detailed, easy-to-follow guide designed for readers who already understand basic programming and want to move into the skills used in real software engineering-without the confusing, overly technical explanations that make most textbooks hard to finish.
In this volume, you'll learn how professional developers think about performance, structure, scalability, and security-so you can build projects that actually work in the real world.
Inside this book, you'll explore:
- Data Structures (lists, maps, sets, trees, heaps) and when to use each one
- Algorithm strategies you'll reuse constantly (Big-O, recursion, DP, searching, sorting)
- Object-oriented design and practical patterns that keep code clean and reusable
- Memory fundamentals-stack vs heap, references, leaks, and performance
- Operating systems concepts-processes, threads, scheduling, and multitasking
- Networking essentials-packets, TCP/UDP, HTTP/HTTPS, latency, caching
- Databases and scaling-SQL, indexes, transactions, replicas, and sharding
- Concurrency-locks, deadlocks, async, and how real systems stay stable
- Security basics-threat models, hashing, safe coding, common attacks
- System design foundations-how scalable apps are built and maintained
- Capstone projects + interview-style practice to apply what you learn immediately
Whether you're learning for a tech career, leveling up your skills, or building serious projects, this book gives you the next step after beginner computer science-written in a clear, practical way that you can actually use.
If you're ready to move beyond "basic coding" and into real computer science, this is your Vol. 2.