Learning Path:Java: Data Structures & Algorithms With Java 9

Unleash the power of Java 9 to master data structures and algorithms from scratch

What you'll learn

Understand the fundamentals of algorithms, data structures, and complexity measurement

Find out what general-purpose data structures are, including arrays, linked lists, double-ended linked lists, and circular lists

Gain a better understanding of the concept of trees, queues, and graphs

See how to use recursive functions and immutability while understanding them in terms of recursion

Use binary search, sorting, and efficient sorting— quicksort and merge sort

Handle reactive programming and its related data structures

Requirements

Working knowledge on Java is a must

Description

Java 9 data structures and algorithms covers functional and reactive data structures thereby giving you the power to understand computational complexity, solve problems, and write efficient code. So if you are a Java developer who wish to learn data structures and algorithms, then go for this Learning Path.

Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.



 The highlights of this Learning Path are:
Complete coverage of reactive and functional data structures

Get to know the fundamentals of algorithms, data structures, and complexity measurement

Gain a better understanding of the concept of trees, queues, and graphs

Master important concept such as dynamic programming




Let’s take a quick look at your learning journey. You will begin with understanding the basics of Java algorithms and data structures. You will then be introduced to concepts such as arrays, linked lists, stacks, and queues. Next, you will go through the basics of functional programming so that you get used to thinking recursively. This Learning Path provides plenty of examples along the way to help you understand each concept clearly. Finally, you will get a clear picture of reactive programming, binary searches, sorting, search trees, undirected graphs, and a whole lot more.

By the end of this Learning Path, you will be well-versed with data structures and algorithms in Java 9.


Meet Your Experts:

We have the best work of the following esteemed author to ensure that your learning journey is smooth:






Debasish Ray Chawdhuri is an established Java developer and has been in the industry for the last eight years. He has developed several systems, from CRUD applications to programming languages and big data processing systems. He provided the first implementation of an extensible business reporting language specification, and a product around it, to verify company financial data for the Government of India while he was employed at Tata Consultancy Services Ltd. In Talentica Software Pvt. Ltd., he implemented a domain-specific programming language to easily implement complex data aggregation computations that compiled to Java bytecode. Currently, he leads a team developing a new high-performance structured data storage framework to be processed by Spark. The framework is named Hungry Hippos and will be open-sourced very soon. He also blogs about Java and other computer science-related topics. He has worked for Tata Consultancy Services Ltd., Oracle India Pvt. Ltd., and Talentica Software Pvt. Ltd.

Overview

Section 1: Basic Data Structures and Algorithms in Java 9

Lecture 1 The Course Overview

Lecture 2 The Performance of an Algorithm

Lecture 3 Analysis of Asymptotic Complexity

Lecture 4 Optimizing Our Algorithm

Lecture 5 Arrays

Lecture 6 Linked List

Lecture 7 Doubly Linked List

Lecture 8 Circular Linked List

Lecture 9 Stack

Lecture 10 Queue

Lecture 11 Double-Ended Queue

Lecture 12 Recursive Algorithms

Lecture 13 Lambda Expressions in Java

Lecture 14 Functional Data Structures

Lecture 15 Monads

Lecture 16 Analysis and Performance

Lecture 17 Search Algorithms

Lecture 18 Sorting

Lecture 19 Problem with Recursive Calls

Section 2: Advanced Data Structures and Algorithms in Java 9

Lecture 20 The Course Overview

Lecture 21 Quicksort

Lecture 22 Mergesort

Lecture 23 A Tree Data Structure

Lecture 24 The Tree Abstract Data Type

Lecture 25 Binary Tree

Lecture 26 Binary Search Tree

Lecture 27 Self-Balancing Binary Search Tree

Lecture 28 Red-Black Tree

Lecture 29 Hash Tables

Lecture 30 Priority Queue ADT and Heap

Lecture 31 Linked Heap

Lecture 32 Binomial Forest

Lecture 33 Sorting Using a Priority Queue and In-Place Heap Sort

Lecture 34 What is a Graph?

Lecture 35 The Graph ADT and Adjacency Matrix

Lecture 36 Adjacency List

Lecture 37 Producer-Consumer Model

Lecture 38 Functional Way of Reactive Programming

This Learning Path is targeted at Java developers who wish to learn data structures and algorithms to write Java code efficiently.