Java Collections In Depth: A Data Structure Deep Dive

Published 3/2025
Created by Koushik Kothagal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 34 Lectures ( 4h 52m ) | Size: 5.81 GB

Master Java Collections: Hashing, Time Complexity, Sets, and Comparisons

What you'll learn
Master equals() & hashCode() for correct object equality and smooth collection usage
Demystify time & space complexity—plus dynamic programming trade-offs—to tackle algorithmic bottlenecks.
Explore core interfaces (List, Set, Map) and dive into their subtypes for flexible data handling.
Deep-dive into hashing, load factors, and collisions to optimize HashSet and HashMap performance.
Implement and compare sets (HashSet, LinkedHashSet, TreeSet) for unique storage and sorted ordering.
Handle concurrency with Vector, CopyOnWriteArrayList, and safe iteration for robust multi-threaded apps.
Master ordering via Comparable and Comparator to build custom sorting and flexible object comparisons
Uncover iteration patterns, fail-fast mechanisms, and sublists to streamline collection operations.
Harness specialized collections—WeakHashMap, NavigableSet, queues, and deques—for caching, scheduling, and dynamic navigation.
Leverage the Collections utility class for searching, synchronization, immutability, and more.

Requirements
Basic understanding of Java syntax and OOP principles
Familiarity with fundamental programming concepts (e.g., loops, methods)
A working Java environment (JDK and IDE)

Description
Immerse yourself in an in-depth exploration of Java Collections that spans everything from object equality fundamentals to sophisticated data-structure choices. You'll start by mastering equals() and hashCode(), tackling essential rules and best practices for correctly comparing objects and preventing data anomalies. From there, you'll delve into critical topics such as hashing and load factors, where you'll discover how good hash functions and proper bucket management keep your sets and maps lightning-fast and collision-free.As you advance, you'll gain a solid grasp of time and space complexities—revealing how these concepts influence algorithm performance—and learn to balance efficiency via dynamic programming trade-offs. Explore a full spectrum of collections, from Lists and Sets to Maps, uncovering core interfaces and specialized implementations like LinkedHashSet, TreeSet, and WeakHashMap. You'll see how concurrency plays out in structures like Vector and CopyOnWriteArrayList, and why fail-fast iterators protect against unpredictable modifications. Alongside sorting and ordering mechanisms (Comparable vs. Comparator), you'll also harness NavigableSets for intricate operations on sorted data. Finally, put it all together with sublists for range-based list operations, the Deque interface for double-ended queues, and the powerful Collections utility class for tasks like searching, synchronization, and immutability. By the end of this course, you'll be fully equipped to design, implement, and optimize any data-handling requirement your Java projects demand.

Who this course is for
Junior developers seeking deeper insights into Java data structures
Experienced engineers seeking new strategies to tackle performance bottlenecks and acquire advanced knowledge
Interview preparation aspirants looking to ace Java Collections questions
Anyone wanting a comprehensive understanding of the Java Collections framework

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