Last updated 12/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.14 GB | Duration: 10h 36m
Build your first app with Java, the all-time favorite language for application development.
What you’ll learn
Understand programming syntax, variables, and expressions to create your algorithms
Use Object Oriented Programming concepts for efficient programming
Understand some of the fundamental concepts behind key algorithms
Correctly implement basic and complex data structures
Master graph representations and learn about different graph algorithms
Utilize the functional programming paradigm on practical problems in Java
Focus on the pros and cons of alternative Reactive frameworks, Reactor, and RxJava
Build efficient and elegant code with popular parallel Java frameworks, including ForkJoin and Streams
Requirements
Prior knowledge of Java is not required.
Basic understanding of computer programming will be helpful.
Description
Java is one of the most well-known programming languages out there, primarily due to how adaptable and perfect it is. Java can be utilized for an extensive number of tasks, including programming improvement and versatile applications. Knowing Java opens a lot of doors for you as a developer.In this series of 5 courses, you’ll build professional Java projects and be confident with your programming skills.Course 1:From installation to key features, this course will be your companion as you build robust and efficient applications with the latest features of Java 11. This tutorial will give you a head start in programming. It supplies enough material for you to start creating something with it right from the word go.Course 2:Next, you will be introduced to algorithms, big O notation, bubble, merge, quicksort, and other popular programming patterns. You’ll also learn about data structures such as binary trees, hash tables, and graphs. The course progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the course, you will know how to correctly implement common algorithms and data structures within your applications.Course 3:This course takes a thought-leadership approach, gently introduces you to Functional Programming, and takes you all the way to becoming a master of the paradigm. You’ll then learn how to work with higher-order functions, lambda functions, collections and more. You’ll learn how to apply the best data structures and algorithms that optimize functions and also how to reuse and refactor functional blocks of code.Course 4:This course is a step-by-step guide to creating applications with Java 12 by applying reactive programming. You will get hands-on experience; each section will build on the previous one, so that you will be able to make your app responsive and reliable by implementing reactive principles with Java.Course 5:Multi-core processors are everywhere-from super-computers to mobile devices right in your pocket. That’s why a modern developer must know how to leverage the power of multithreading.This course will teach you how to use parallelism and concurrency in Java. You will learn how to parallelize tasks and functions with the ForkJoin framework and Streams. You will also learn how to work with the very popular Reactive Streams recently introduced to Java. Furthermore, you will master concurrent collections and lower-level synchronization techniques with locks.
Overview
Section 1: Learning Java 11
Lecture 1 The Course Overview
Lecture 2 Setup, Installation, and Runthrough of IntelliJ IDEA
Lecture 3 Writing Your First Java Code
Lecture 4 Understanding the Programming Basics
Lecture 5 Uses of Variables and Types
Lecture 6 Using Expressions
Lecture 7 Working with More Expressions
Lecture 8 IF Statements
Lecture 9 WHILE Loops
Lecture 10 FOR Loops
Lecture 11 Using Switch Statements
Lecture 12 Understanding Arrays
Lecture 13 Understanding Methods
Lecture 14 Exception Handling
Lecture 15 Files Input and Output
Lecture 16 Introduction to Classes and Objects
Lecture 17 Enum Class
Lecture 18 Understanding Inheritance
Lecture 19 Understanding Abstraction
Lecture 20 Java Interfaces
Lecture 21 Recursive Methods
Lecture 22 ArrayList and LinkedList
Lecture 23 TreeSet and HashSet
Lecture 24 HashMap and TreeMap
Lecture 25 Multi-Dimensional Arrays
Section 2: Beginning Java Data Structures and Algorithms
Lecture 26 Course Overview
Lecture 27 Lesson Overview
Lecture 28 Developing Our First Algorithm
Lecture 29 Measuring Algorithmic Complexity with Big O Notation
Lecture 30 Identifying Algorithms with Different Complexities
Lecture 31 Summary
Lecture 32 Lesson Overview
Lecture 33 Introducing Bubble Sorting
Lecture 34 Understanding Quick Sort
Lecture 35 Using Merge Sort
Lecture 36 Getting Started with Fundamental Data Structures
Lecture 37 Summary
Lecture 38 Lesson Overview
Lecture 39 Introducing Hash Tables Part 1
Lecture 40 Introducing Hash Tables Part 2
Lecture 41 Getting Started with Binary Search Trees
Lecture 42 Traversing a Binary Search Tree
Lecture 43 Summary
Lecture 44 Lesson Overview
Lecture 45 Introducing Greedy Algorithms
Lecture 46 Getting Started with Divide and Conquer Algorithms
Lecture 47 Understanding Dynamic Programming
Lecture 48 Summary
Lecture 49 Lesson Overview
Lecture 50 Naive Search Algorithms
Lecture 51 Getting Started with the Boyer-Moore String Searching Algorithm
Lecture 52 Introducing Other String Matching Algorithms
Lecture 53 Summary
Lecture 54 Lesson Overview
Lecture 55 Representing Graphs
Lecture 56 Traversing a Graph
Lecture 57 Calculating Shortest Paths
Lecture 58 Prime Numbers in Algorithms
Lecture 59 Other Concepts in Graphs
Lecture 60 Summary
Section 3: Hands-On Functional Programming with Java
Lecture 61 The Course Overview
Lecture 62 What Is Functional Programming?
Lecture 63 Implementing Anonymous Classes (Example A)
Lecture 64 Lambda Expression (Lambda Version of Example A)
Lecture 65 Differentiating Interfaces versus Functional Interfaces
Lecture 66 Implementing the Syntax of Lambda Expressions
Lecture 67 Replacing Anonymous Classes
Lecture 68 Using Method References
Lecture 69 Best Practices for Using Lambda Expressions
Lecture 70 Introduction to the Collections Framework
Lecture 71 Implementing the Set Interface Using HashSet and LinkedHashSet
Lecture 72 Implementation of the SortedSet Interface
Lecture 73 Deploying the List Interface
Lecture 74 Working with the Queue Interface
Lecture 75 Introduction and Implementations of Maps
Lecture 76 Understanding the Stream API and Constructing Streams
Lecture 77 Intermediate Stream Operations
Lecture 78 Terminal Stream Operations and the Optional Class
Lecture 79 Implementing Stream Operations in Examples
Lecture 80 Operations on Collections and Creating Collections Using Collectors
Lecture 81 Hands-on Collection Sorting Using Streams
Lecture 82 Advanced Filtering and Mapping Using Streams
Lecture 83 Using Reduce for Advanced Transformations
Lecture 84 Implementing flatMap in Examples
Lecture 85 Advanced Grouping of Objects Using Streams
Lecture 86 Advanced Joining and Partitioning of Objects Using Streams
Lecture 87 Benefits of Concurrent Streams and Concurrency in General
Lecture 88 Implementing Parallel Streams
Lecture 89 Parallel Stream Operations
Lecture 90 Comparing Sequential to Parallel Streams
Section 4: Hands-On Reactive Programming with Java 12
Lecture 91 The Course Overview
Lecture 92 Flow: The Main Entry Point of Every Reactive App
Lecture 93 Subscriber versus Publisher: When to Use Which
Lecture 94 Hot Publisher: Why It Is Hard to Take Control Over It
Lecture 95 Cold Publisher: Pairing with Back Pressure
Lecture 96 Consuming Messages: Creating a Subscriber
Lecture 97 Using Publisher to Emit Stock Events
Lecture 98 Testing Stock Reactive Flow
Lecture 99 Handling Errors in Subscriber
Lecture 100 Flow.Processor API for the Skeleton of Transformation
Lecture 101 Using SubmissionPublisher for Proxying Event to Another Publisher in the Chain
Lecture 102 Plugging the TransformProcessor for Transformation Logic
Lecture 103 Testing Stock Transformation Logic
Lecture 104 Leveraging Subscription Object for Controlling the Number of Fetched Stocks
Lecture 105 Controlling the Speed of Consumer with AtomicInteger
Lecture 106 Creating Overproducing Publisher
Lecture 107 Testing Backpressure in Stock Exchange Application
Lecture 108 RxJava – Observables Abstractions
Lecture 109 RxJava – Advanced Operations – flatMap
Lecture 110 Reactor – Flux
Lecture 111 Reactor – Combining Publishers
Lecture 112 Reactive Spring Boot
Lecture 113 Creating Reactive Data Access Layer
Lecture 114 Creating Reactive Controller
Lecture 115 Testing Reactive Microservices
Section 5: Java Concurrency and Multithreading in Practice
Lecture 116 The Course Overview
Lecture 117 Executing Tasks in Parallel with ForkJoinPool
Lecture 118 Joining the Results of the Tasks
Lecture 119 RecursiveAction and RecursiveTask
Lecture 120 Exception Handling and Cancelling a Task
Lecture 121 Callable and Future
Lecture 122 Thread and Thread Pool
Lecture 123 CompletableFuture
Lecture 124 Sequential Streams
Lecture 125 Parallel Streams
Lecture 126 Overview: Publishers, Subscribers, and Subscriptions
Lecture 127 Subscriber: Consuming Messages
Lecture 128 Publisher and SubmissionPublisher: Providing Messages
Lecture 129 Processor: Transforming Messages
Lecture 130 Threads: Thread Lifecycle
Lecture 131 Structured Locks (The "synchronized" Keyword)
Lecture 132 Working with Locks
Lecture 133 Object#wait(), notify(), and the New onSpinWait()
Lecture 134 Possible Problems: Data Races, Deadlock, Livelock, and Resource Starvation
Lecture 135 Atomic Types and the Compare-and-Set Approach
Lecture 136 Concurrent Collections: ConcurrentHashMap, ConcurrentLinkedQueue
Lecture 137 Blocking Queues
Lecture 138 Copy-on-Write Collections
Lecture 139 Wrap Up and Next Steps
This course is for anyone who wants to get ahead in Java programming.
Homepage
https://www.udemy.com/course/java-programming-essentials-5-course-bundle/
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