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Operating System Tutorial

A practical, beginner-to-advanced guide to operating systems, how they manage hardware, coordinate processes and memory, handle files and storage, and ensure efficient, safe, fair use of computing resources. You’ll learn core concepts like process scheduling, memory management, multithreading, file systems, synchronization and deadlocks through simple explanations and real-world examples.

4 Modules

55 Lessons

English

1 Hrs

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Reading Plan

Contributors

L
Lukesh

Operating System Tutorial

This handbook breaks down how modern operating systems work, not just at a high level, but with the practical insights you need to apply concepts and solve problems. You’ll begin with fundamentals like what an OS is and why it matters, then explore how processes are scheduled and managed, how memory is allocated and protected, and how concurrency is handled. Along the way you’ll see classic problems like deadlocks and thrashing and learn how systems avoid, detect and recover from them.

Why this Handbook Matters

Operating systems sit at the heart of every computer, phone and embedded device. If you’re building software, managing servers, designing systems or preparing for technical interviews, you need to understand how processes run, how memory is managed, how data is stored and how concurrency is coordinated. This handbook gives you that foundation, it takes you beyond buzzwords to real understanding and practical problem-solving.

Who this is for

- Aspiring software engineers, system programmers and backend developers who want to understand how hardware and software interact. - Students and learners preparing for exams, technical interviews or OS-related projects. - DevOps and SRE professionals who need to understand process, memory and resource management. - Anyone curious about what happens “under the hood” when programs run and interact on modern machines.

Prerequisites

This course is suitable for:

  • Basic understanding of programming (variables, control flow, functions).
  • Familiarity with data structures (arrays, lists, queues) and algorithms.
  • Comfort using a computer and reading code or pseudocode.
  • Curiosity about how systems work and willingness to explore both concepts and practical examples.

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