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Java Programming Essentials (5-Course Bundle) - Panter - 14.12.2022 Java Programming Essentials (5-Course Bundle) Last updated 12/2020 MP4 | Video: h264, 1280x720 | 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. 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