What you'll learn
Understand Java data structures in more depth
Be able to answer tough interview questions confidently
Recognize the subtleties between data structures
Know when to choose which data structure in Java
Requirements
Should be comfortable with Java programming
Description
In this course, we give you 130+ practice questions for data structures, that examine our knowledge of the cost of various collections, and when we would use which one. We also have videos explaining why we chose the various answers. Some of the questions might require a bit of research before attempting to answer.We start with questions about time and space complexity (Big O), then look at memory efficiency in Java. We then examine Lists in detail, considering when to use which one. We also look at how to sort lists and how to write good Comparators.In our next section, we look at sets, both sorted and unsorted.We then focus on how the hashing mechanism has changed over the years.Our next section looks at maps, considering both thread-safe and non-thread-safe implementations. We also look at some highly specialized maps.We then ask questions about queues, blocking queues and deques, before ending with some questions about the facades Collections and Arrays.Each of the questions has a detailed video walkthrough tutorial, so that if you get an answer wrong, you can examine the video and see what the issue was.The best strategy is to start by doing the practice questions, so that you can see where your strengths and weaknesses are. Focus on the weaknesses and watch the tutorials and do a bit of research, then do the test again to see if you have improved in your understanding.We have made the pass mark deliberately high at 95%, in order to motivate you to get stuck in and learn the data structures well.Good luck!Heinz
Overview
Section 1: Data Structures in Java Quiz
Lecture 1 Introduction
Lecture 2 Computational Time Complexity
Lecture 3 Space Complexity
Lecture 4 Arrays
Lecture 5 Lists
Lecture 6 ArrayList
Lecture 7 Iteration
Lecture 8 CopyOnWriteArrayList
Lecture 9 LinkedList
Lecture 10 Vector
Lecture 11 Stack
Lecture 12 Sorting lists
Lecture 13 Sets
Lecture 14 TreeSet
Lecture 15 ConcurrentSkipListSet
Lecture 16 CopyOnWriteArraySet
Lecture 17 Hashing
Lecture 18 HashSet
Lecture 19 ConcurrentHashMap.newKeySet()
Lecture 20 Maps
Lecture 21 HashMap
Lecture 22 ConcurrentHashMap
Lecture 23 TreeMap
Lecture 24 ConcurrentSkipListMap
Lecture 25 Hashtable
Lecture 26 LinkedHashMap and LinkedHashSet
Lecture 27 EnumSet, EnumMap, IdentityHashMap, Properties, WeakHashMap
Lecture 28 Queues and Deques
Lecture 29 ConcurrentLinkedQueue and ConcurrentLinkedDeque
Lecture 30 ArrayDeque
Lecture 31 BlockingQueues
Lecture 32 LinkedBlockingQueue and LinkedBlockingDeque
Lecture 33 ArrayBlockingQueue
Lecture 34 DelayQueue, SynchronousQueue, LinkedTransferQueue
Lecture 35 PriorityQueue and PriorityBlockingQueue
Lecture 36 java.util.Collections
Lecture 37 java.util.Arrays
Lecture 38 Conclusion
Java programmers who want to hone their data structure skills


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