Learn IT: using simple language and everyday examples to study.
This article explains the fundamental differences between CISC and RISC architectures, covering their historical origins, design philosophies, characteristic trade‑offs, representative implementations, modern hybrid approaches, and the rising impact of ARM and RISC‑V in today’s computing landscape.
This article explains how Alan Turing's fictional machine defines what computation is, describes its five components, shows its ability to perform any calculation, compares it to modern computers, and introduces the halting problem and Turing test as foundational concepts in computer science.
The article explains how the von Neumann architecture, introduced by John von Neumann in 1945, established the stored‑program concept that underpins all modern computers, describes its five core components, the classic CPU‑memory bottleneck, and the cache, pipeline and parallel techniques used to mitigate it, while contrasting it with the Harvard architecture and offering everyday analogies.
This article demystifies databases by contrasting them with Excel, explains core concepts such as tables, rows, columns, primary and foreign keys, compares relational and NoSQL systems, introduces SQL CRUD operations, ACID properties, and provides a quick MySQL hands‑on guide, helping readers decide when to adopt a database.
The article explains why the Windows C: drive fills up quickly, compares NTFS, FAT32, and exFAT—including their histories, features, limits, and ideal use cases—offers a decision tree for selecting the right file system, and provides practical steps for cleaning a full C: drive.
The article explains how a file system works—from physical disks to logical structures—using analogies like warehouses, detailing superblocks, inodes, data blocks, tree hierarchies, common file systems, Windows C‑drive growth, Linux ext4 features, permission models, and the role of the virtual file system.
The article uses a cafeteria line analogy to introduce CPU scheduling, then systematically explains FCFS, SJF, Round Robin, priority scheduling, and multilevel feedback queues, highlighting their mechanisms, advantages, drawbacks, and real‑world implementations in Windows, Linux, and macOS/iOS.
The article explains deadlock by describing two programmers who each hold a meeting room and wait for the other, defines deadlock and its four necessary conditions, provides real‑world analogies, shows a Python threading example that deadlocks, and outlines prevention, avoidance, detection, and best‑practice strategies.
The article explains processes as independent execution units and threads as lightweight CPU‑scheduled workers, using a boss‑and‑employees metaphor, code samples in Python and Java, practical scenarios, common pitfalls like race conditions and deadlocks, and guidance on when to choose multiprocessing versus multithreading.
The article explains that an operating system acts as a computer's "big steward," handling memory allocation, process scheduling, hardware abstraction, and security, and then compares Windows, macOS, and Linux in market share, strengths, and typical use cases.
