دانلود Pluralsight - From Collections to Streams in Java 8 Using Lambda Expressions - آموزش کار با چهارچوب‌های Collections و Streams در جاوا 8 با استفاده از عبارات لامبدا

جاوا 8 الگوها و بسترهای جدیدی برای ساختن برنامه‌های بسیار کارآمد و قدرتمند در اختیار کاربران قرار می‌دهد. این دوره‌ی آموزشی تصویری مفاهیم و تکنیک‌های بسیار مهمی را در زمینه‌ی عبارات لامبدا (Lambda Expressions) پوشش داده است. لامبدا گرچه بستر نرم‌افزاری بسیار خوبی است اما بدون فناوری‌های جدیدی که در جاوا ارائه شدند مفید و کارآمد نخواهد بود. در این آموزش، بهره‌گیری از فریم‌ورک‌های Collections و Streams در پلتفرم عالی جاوا 8 با استفاده از عبارات لامبدا مورد تدریس قرار گرفته‌اند.

 

محتوای آموزش:

1- آشنایی با عبارات لامبدا و Functional Interfaces

2- فرایند Writing Data Processing Functions با لامبدا در جاوا 8

3- پردازش اطلاعات با استفاده از لامبدا ها و چارچوب Collections

4- فرایند Implementing Map Filter Reduce با استفاده از لامبدا و Collections

5- موارد مهم مربوط به Streams

و ...

 

تولید کننده: Pluralsight

تاریخ انتشار: 16-09-2015

سطح: متوسط

مدت زمان آموزش: 4 ساعت و 1 دقیقه

مدرس: Jose Paumard

 

فهرست کامل سرفصل‌ها و عناوین آموزش (به همراه زمان دقیق آنها) :

Lambda Expressions and Functional Interfaces - 47m 48s

Introduction to the Course 3m 7s

What Are You Going to Learn in This Course? 2m 9s

Agenda of the Course 1m 31s

Who Are You? What Should You Know to Follow This Course? 1m 40s

Agenda of This Module 1m 5s

Lambda Expression: Introduction, Instances of Anonymous Classes 3m 24s

Lambda Expression: Passing Code as a Parameter 2m 9s

Let Us Write Our First, Simple Lambda Expressions 3m 2s

Lambda Expression: Remarks and Precisions 1m 51s

Method References: A First Example with an Instance Method 2m 29s

Method References: A Second Example with a Static Method 2m 9s

Method References: The System.out.println Pattern 1m 32s

How to Create New API: Default and Static Methods in Interfaces 2m 6s

Live Coding Introduction: The Comparator Example 0m 53s

Implementing a Comparator with Lambda Expressions 2m 17s

Comparing by Age, Last Name, and First Name 0m 57s

Refactoring the Comparison with a Key Extractor 2m 0s

Implementing the Comparator.comparing Static Method 2m 48s

Making the Key Extractor Generic, Returning Comparable Objects 2m 3s

Chaining Comparators with the thenComparing Default Method 2m 7s

Writing the Comparator.thenComparing Implementation 1m 36s

Writing the Final Comparator Creation and Chaining Pattern 2m 47s

Wrap-up of the Module 1m 56s

 

Writing Data Processing Functions with Lambdas in Java 8 - 46m 10s

Introduction to the Module 1m 34s

What Is a Functional Interface? The Predicate Example 2m 1s

How to Implement a Functional Interface with a Lambda Expression 2m 7s

How Does the Compiler Recognize the Type of a Lambda Expression? 3m 52s

A Lambda Is Still an Interface with Usable Methods 0m 35s

Functional Interface: The Complete and Exact Definition 3m 24s

How to Use the @FunctionalInterface Annotation 2m 50s

The Four Categories of the java.util.function Package 1m 8s

First Category: The Consumers 0m 59s

Second Category: The Supplier 1m 24s

Third Category: The Functions 2m 31s

Fourth Category: The Predicates 1m 8s

Functional Interfaces for Java Primitive Types 1m 29s

Introduction to the Live Coding Section: The Predicate Example 1m 34s

Writing and Using a First, Simple Predicate Lambda Expression 1m 49s

Chaining Predicates with the AND Boolean Operation 1m 44s

Adding a and() Method on the Predicate Functional Interface 1m 35s

Implementing the and() Default method on the Predicate Interface 3m 44s

Adding a or() Default Method on the Predicate Interface 3m 12s

Creating Predicates with a Static Call on a Functional Interface 2m 41s

Making the isEqualsTo() Method Generic of the Predicate Interface 1m 32s

Live Coding Wrap-up 1m 14s

Module Wrap-up, Presentation of the Next Module 1m 53s

 

Data Processing Using Lambdas and the Collection Framework - 45m 54s

Introduction to the Module 1m 11s

First Methods on Iterable, Collection and List 3m 51s

First Method on Map: forEach() 1m 38s

More Methods on Map: getOrDefault() 2m 15s

More Methods on Map: putIfAbsent() 2m 37s

More Methods on Map: replace() and replaceAll() 2m 0s

New Pattern on Map: remove() 0m 37s

New Patterns on Map: The compute() method 1m 55s

New Patterns on Map: computeIfAbsent(), computeIfPresent() 2m 47s

Building Maps of Maps and Maps of Lists with computeIfAbsent() 3m 21s

New Pattern on Map: The merge() method 2m 5s

Using merge() to Merge Two Maps Together 3m 34s

Live Coding Session Introduction, forEach() in Action 2m 23s

Methods removeIf(), replaceAll(), sort() in Action 3m 13s

Setting Default Value for map.get(): getOrDefault() 2m 2s

Adding Default key / value pairs: putIfAbsent, computeIfAbsent 2m 48s

Merging Maps with the map.merge() Method 3m 21s

Merging Maps: Analysis of the Result 1m 32s

Live Coding and Module Wrap-up 2m 38s

 

Implementing Map Filter Reduce Using Lambdas and Collections - 51m 45s

Introduction to the Module 1m 19s

Computing the Average of People Older than 20, Taken From a List 2m 21s

Map / filter / reduce: A Precise Explaination 2m 47s

A First Implementation, in the JDK7 Way 2m 31s

A Closer Look at the Reduction Step: How Does it Work? 2m 9s

Parallel Implementation of the Reduction Step 1m 58s

First Caveat: Non-associative Reduction Operations 3m 41s

How to Detect Non-associative Reduction Operations 2m 40s

Second Caveat: Reduction of a Singleton 2m 33s

Second Caveat: Reduction of a Set with Several Elements 2m 30s

Second Caveat: Reduction That Do Not Have Identity Element 1m 7s

Live Coding: Setting up the Environment 2m 44s

Simulating Parallel Computation of a Non-associative Reduction 3m 32s

Non-associative Reduction: The Average Reduction Operation 1m 49s

Computing a Max: Reduction with No Identity Element 2m 24s

Live Coding Wrap-up 1m 19s

Using Optionals to Handle Reductions with No Identity Element 1m 13s

Wrap-up on the Reduction Step 0m 46s

Implementation in the JDK7 Way: a Closer Look 1m 3s

CPU Load and Memory Footprint Evaluations 2m 46s

Example of an allMatch Reduction Operation: Lost Optimizations 2m 21s

Why Is this First, Naive Implementation Should be Avoided 2m 10s

A First Glimpse at the Stream API 1m 30s

Module Wrap-up 2m 21s

 

The Stream API, How to Build Streams, First Patterns - 49m 38s

Introduction to the Module 1m 13s

A First Technical Definition of the Stream Interface 1m 57s

First Definitions of the Concept of Stream 2m 14s

The Notion of Unbounded Stream 2m 24s

How to Build Streams: Empty Streams, Singletons, varargs 2m 33s

How to Build Streams: The Generator and Iterator Pattern 2m 29s

How to Build Streams on Strings, Regular Expressions, and Text Files 2m 34s

The Stream.Builder Pattern 2m 14s

The map / filter / reduce Pattern Written with a Stream 3m 2s

A Second Example of the ap / filter / reduce Pattern on Streams 1m 36s

Intermediate and Terminal Calls on Streams: peek() and forEach() 3m 16s

How to Tell an Intermediate Call from a Terminal Call 2m 7s

Selecting Ranges of Data in Streams: skip() and limit() 3m 4s

Simple Reductions: Matchers, Short-circuiting Reductions 2m 0s

Finder Reductions, Use of Optionals 1m 37s

Example of Finder Reductions: findFirst(), findAny() 1m 32s

General Reductions: Use of the reduce() Method 4m 3s

Live Coding Session Introduction 0m 55s

Example of a First Simple Stream Built on a vararg 1m 21s

Building a Stream: The Generate Pattern, Use of Limit() 1m 23s

Building a Stream: The Iterate Pattern 1m 50s

Bulding Streams of Random Numbers Using Random.ints() 1m 23s

Live Coding Session Wrap-up 1m 6s