Learn Algorithms and Data Structures in Java for Day-to-Day Applications [Video]

Learn Algorithms and Data Structures in Java for Day-to-Day Applications [Video]

Tomasz Lelek

2 customer reviews
A comprehensive guide to the algorithms and data structures used when designing architectural solutions and big data applications
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RRP $124.99
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Video Description

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. 

Style and Approach

The vision of the course is to get you acquainted with the core and advanced data structures and algorithms used for day-to-day applications. You’ll see how they work and how to use them effectively in your own programs. It’s full of step-by-step instructions, revealing examples, and clear explanations that will help you understand the practical application of each algorithm with scenario trade-offs.

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What You Will 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

Authors

Video Details

ISBN 139781788624428
Course Length2 hours 41 minutes
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