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-Java-Data-Structures-Algorithms-Master-Revision-Table

📘 Java Data Structures & Algorithms – Master Revision Table

This table is designed for zero-to-hero learners. It blends core concepts + practical uses + real-world analogies + mnemonics so you can quickly revise and apply them.


Topic Why & When We Use It Real-Life Analogy Examples (Daily Life / Android Apps / Cybersecurity) Mnemonic (ISO-Style)
Collections To group multiple objects into one unit and manage them efficiently Like a toolbox holding different tools Daily life: Shopping bag holding items.
Android: Contacts list grouped.
Cybersecurity: Bundling logs/events.
COLLContainer Of Lots of Lists
List Ordered collection, allows duplicates Queue at a ticket counter Daily: To-do list in order.
Android: Music playlist.
Cyber: Ordered attack logs.
LISTLinearly Indexed Set of Things
ArrayList Resizable array, fast access, slow inserts/deletes Dynamic shelf expanding when needed Daily: Expanding notebook.
Android: Gallery images.
Cyber: Storing IP addresses quickly.
ARRLAuto-Resize Retrieval List
LinkedList Fast insertion/deletion, slower access Chain of people linked hand-in-hand Daily: Train coaches linked.
Android: Messaging threads.
Cyber: Packet hops in a route.
LINKLinks In Nodes Kept
List Sorting To arrange items for efficiency Books sorted on a shelf Daily: Phone contacts A→Z.
Android: Sorting search results.
Cyber: Sort by threat level.
SORTStructure Ordered Rank Table
Set Unique elements, no duplicates Bag of unique coins Daily: Student roll numbers.
Android: Unique installed apps.
Cyber: Unique device IDs.
SETStores Elements Trimmed
HashSet Fast access, no order Box with labels for fast retrieval Daily: Storing friends’ phone numbers uniquely.
Android: Caching unique tokens.
Cyber: Unique IP blacklist.
HSETHash for SET uniqueness
TreeSet Sorted unique elements Sorted drawer of files Daily: Sorted exam roll numbers.
Android: Sorted notifications.
Cyber: Sorted vulnerabilities list.
TSETTree-structured SET
LinkedHashSet Unique elements + insertion order Guestbook with unique signatures Daily: First-come-first-served entries.
Android: Recent searches (unique, ordered).
Cyber: Ordered list of logged attacks.
LHSETLinked History of SET
Map Key–Value pair storage Dictionary (word → meaning) Daily: Name → Phone number.
Android: SharedPreferences key-value storage.
Cyber: IP → Threat level mapping.
MAPMatches Associated Pairs
HashMap Fast lookup by key Warehouse with labeled boxes Daily: ID → Student name.
Android: Store app configs.
Cyber: SessionID → User details.
HMAPHash-based MAP
TreeMap Sorted key–value pairs Library catalog system Daily: Contacts sorted by names.
Android: Sorted settings.
Cyber: Sort exploits by severity.
TMAPTree-structured MAP
LinkedHashMap Maintains insertion order of key–value Chronological diary with entries Daily: To-do tasks by order added.
Android: Browser history.
Cyber: Ordered login attempts.
LHMAPLinked History MAP
Iterator To traverse collections safely Tour guide leading step by step Daily: Turning book pages.
Android: Iterating chat messages.
Cyber: Scanning logs one by one.
ITERIterative Traversal Element Reader
Algorithms To solve problems efficiently (search, sort, optimize) Cooking recipe (step-by-step) Daily: Searching keys at home.
Android: Searching songs in Spotify.
Cyber: Searching vulnerabilities.
ALGAlgorithm = Logic Guide

📌 Summary (Zero ➝ Hero Path)

  1. Start with Lists & Sets → Get comfy with basics.
  2. Move to Maps → Learn key-value storage.
  3. Master Iterators & Sorting → Control flow + efficiency.
  4. Apply Algorithms → Problem-solving mindset.

💡 Remember: Data Structure = HOW we store | Algorithm = HOW we solve.


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