Learn Algorithms and Data Structures in Java by Packt Publishing

Udemy course Learn Algorithms and Data Structures in Java by Packt Publishing

Learn Algorithms and Data Structures in Java is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download Learn Algorithms and Data Structures in Java udemy course.

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Course data:

  • Author: Packt Publishing
  • Course rating: 3.6
  • Category: Development
  • Modality: Online
  • Status: Available
  • Idiom: English

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Abouth Packt Publishing

Packt has been committed to developer learning since 2004. A lot has changed in software since then – but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

Learn Algorithms and Data Structures in Java

What the udemy Learn Algorithms and Data Structures in Java course teaches?

What you’ll learn Explore the Big O Notation and analyze algorithms to write efficient data structures Leverage data structures for building blocks with Stacks and Queues Implement sorting efficient algorithms with Heapsort to sort huge data sets within time limits Create immutable code Recursion programming algorithms in a functional way to make your programs more concise and elegant and reduce memory consumption Estimate the cardinality of a dataset and estimate elements of data sets with a small memory footprint Use Querying Binary Search Trees and Hash tables to speed up querying in an application Use algorithms to get approximate answers quickly, when speed matters more than precision Scale your applications to millions of users with algorithms

Leverage Java Algorithms for Operational Efficiency

More information about the course Learn Algorithms and Data Structures in Java

Programs are created from algorithms and data structures. Mastering these is an essential part of your development as a Java programmer. They are the main building blocks for each architectural pattern. Many courses treat data structures and algorithms as a theoretical computer science topics. This course relates every technique back to real-world problems and situations you will face working as a programmer. You will start off with data structures before diving deeper into hash tables and hash functions. This will allow your programs to find the in-memory data they need, even with huge quantities of records stored in the memory. You’ll learn to use querying binary search trees. The course will take you through heapsort, quicksort, recursion, and tail recursion algorithms. You’ll get familiar with multithreading algorithms and probabilistic algorithms. You’ll also understand the importance of advanced data structures and graph algorithms. This will help you to build priority queues and save your time by keeping disgruntled users at bay. User databases and minimal computing requirements are on the rise. It’s important to write sophisticated applications and run them with improved performance, and this course helps you write these applications. It will help you to gain in-demand knowledge of key data structures and algorithms and prepare you for the next stage in your career as a developer. About the Author Tomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to being better every day. Recently, he’s been delving into big data technologies such as Apache Spark and Hadoop. He is passionate about nearly everything associated with software development. Tomasz thinks that we should always try to consider different solutions and approaches before solving a problem. Recently, he was a speaker at several conferences in Poland – Confitura and JDD (Java Developer’s Day) and also at Krakow Scala User Group. He also conducted a live coding session at Geecon Conference.

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