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

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. Packts 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 Lets 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 blogsabout Java and other computer science-related topics. He has worked for Tata Consultancy Services Ltd, Oracle India Pvt. Ltd, and Talentica Software Pvt. Ltd.