banner

[Download Now] Holczer Balazs – Algorithms and Data Structures in Java – Part I

img

[Download Now] Holczer Balazs – Algorithms and Data Structures in Java – Part I

PLEASE CHECK ALL CONTENTS HERE:

Salepage_https://globalsoftwaresupport.teachable.com/p/algorithms-and-data-structures-in-java-part-i
Archive: https://archive.fo/wip/B8CSL

This course is about data structures and algorithms. We are going to implement the problems in Java, but I try to do it as generic as possible: so the core of the algorithms can be used in C or Python. The course takes approximately 11 hours to complete. I highly recommend typing out these data structures several times on your own in order to get a good grasp of it.

In the first part of the course we are going to learn about basic data structures such as linked lists, stacks and queues, heaps and some advanced ones such as AVL trees, red-black trees or hash tables. We will try to optimize each data structure ( for example avoiding obsolete references ) as much as possible.

In each chapter I am going to talk about the theoretical background of each algorithm or data structure, then we are going to write the code on a step by step basis in Eclipse, Java.

Most of the advanced algorithms relies heavily on these topics so it is definitely worth understanding the basics. These principles can be used in several fields: in investment banking, artificial intelligence or electronic trading algorithms on the stock market.

Course Curriculum

Introduction
  • Preview

    Introduction (1:13)

  • Preview

    Why to use data structures (3:54)

  • Preview

    Data structures and abstract data types (3:58)

Arrays
  • Preview

    Arrays introduction – basics (5:55)

  • Preview

    Arrays introduction – operations (5:54)

  • Preview

    Using arrays (9:51)

  • Preview

    ArraysLists in Java (8:42)

Linked Lists
  • Start

    Linked lists theory – basics (7:09)

  • Start

    Linked list theory – operations (9:32)

  • Start

    Linked list theory – doubly linked lists (1:40)

  • Start

    Linked list theory – linked lists versus arrays (6:36)

  • Start

    Linked list implementation I (4:47)

  • Start

    Linked list implementation II (11:40)

  • Start

    Linked list implementation III (5:59)

  • Start

    Doubly linked list introduction (7:55)

  • Start

    Linked lists in java.util (8:14)

Stacks & Queues
  • Start

    Stack introduction (4:01)

  • Start

    Stacks in memory management ( stacks, heaps ) (7:23)

  • Start

    Stacks and recursive method calls (7:02)

  • Start

    Stack implementation with linked list I (7:28)

  • Start

    Stack implementation with linked list II (3:38)

  • Start

    Stack implementation with arrays (11:01)

  • Start

    Dijkstra’s interpreter introduction (1:18)

  • Start

    Dijkstra’s interpreter implementation (9:12)

  • Start

    Java built in java.util.Stack (5:09)

  • Start

    Queues introduction (5:12)

  • Start

    Queue implementation with linked list (9:43)

  • Start

    Java built in java.util.Queue (6:31)

Binary Search Trees
  • Start

    Binary search trees theory – basics (10:23)

  • Start

    Binary search trees theory – search, insert (4:25)

  • Start

    Binary search trees theory – delete (6:08)

  • Start

    Binary search trees theory – in-order traversal (4:25)

  • Start

    Binary search trees theory – running times (2:10)

  • Start

    Binary search trees implementation I – Node, Tree (7:02)

  • Start

    Binary search trees implementation II – insertion (9:55)

  • Start

    Binary search tree implementation III – maximum, minimum (7:24)

  • Start

    Binary search tree implementation IV – traversal (5:41)

  • Start

    Binary search tree implementation V – remove (9:25)

  • Start

    Binary search tree implementation VI – remove II (5:54)

  • Start

    Custom objects in a tree (6:44)

Balanced Trees: AVL Trees
  • Start

    AVL trees introduction – motivation (4:13)

  • Start

    AVL trees introduction – basics (5:21)

  • Start

    AVL trees introduction – height (8:44)

  • Start

    AVL trees introduction – rotations cases (10:17)

  • Start

    AVL trees introduction – illustration (10:50)

  • Start

    AVL trees introduction – sorting (3:38)

  • Start

    AVL implementation – Node and Tree (3:21)

  • Start

    AVL implementation – balance and height parameters (4:45)

  • Start

    AVL implementation – implementing the rotations (7:36)

  • Start

    AVL implementation – insertion I (6:03)

  • Start

    AVL implementation – insertion II (8:52)

  • Start

    AVL implementation – testing (3:19)

  • Start

    AVL tree remove introduction (6:35)

  • Start

    AVL tree remove implementation I (8:31)

  • Start

    AVL tree generic implementation (3:55)

Balanced Trees: Red-Black Trees
  • Start

    Red-black trees introduction – basics (10:38)

  • Start

    The logic behind red-black trees (4:15)

  • Start

    Red-black trees rotations- cases I (5:10)

  • Start

    Red-black trees rotations- cases II (4:25)

  • Start

    Red-black trees rotations- cases III (3:17)

  • Start

    Red-black trees rotations- cases IV (2:45)

  • Start

    Red-black trees introduction – example I (4:47)

  • Start

    Red-black trees introduction – example II (4:19)

  • Start

    Red-black tree versus AVL tree (3:25)

  • Start

    Red-black tree implementation I – Node class (4:28)

  • Start

    Red-black tree implementation II – traverse (2:06)

  • Start

    Red-black tree implementation III – insert (3:40)

  • Start

    Red-black tree implementation IV – rotate left / right (5:48)

  • Start

    Red-black tree implementation V – fixing the violations (9:52)

  • Start

    Red-black tree implementation VI – fixing the violations (5:52)

  • Start

    Red-black tree implementation VII – testing (1:59)

Splay Trees
  • Start

    Splay tree introduction I – basics (12:49)

  • Start

    Splay tree introduction II – example (3:52)

  • Start

    Splay tree implementation I – find, rotate (9:44)

  • Start

    Splay tree implementation II – spalying (3:34)

  • Start

    Splay tree implementation III – testing (5:50)

Heaps
  • Start

    Priority queues introduction (8:13)

  • Start

    Heap introduction – basics (8:14)

  • Start

    Heap introduction – array representation (9:17)

  • Start

    Heap introduction – remove operation (4:43)

  • Start

    Heap introduction – heapsort (5:13)

  • Start

    Heap introduction – running times (5:05)

  • Start

    Other types of heaps: binomial and Fibonacci heap (2:59)

  • Start

    Heap implementation I (8:28)

  • Start

    Heap implementation II (6:38)

  • Start

    Heap implementation III (5:00)

  • Start

    Heaps in java.util.PriorityQueue (8:33)

B-Trees
  • Start

    B-tree introduction – basics (13:01)

  • Start

    B-tree and external memory (4:07)

  • Start

    Disk access times (5:41)

  • Start

    B-tree introduction – search (2:46)

  • Start

    B-tree introduction – insertion (7:10)

  • Start

    B-tree introduction – deletion (5:30)

  • Start

    In-order traversal (4:06)

Hashtables
  • Start

    Associative array ADT (2:37)

  • Start

    Hashtables introduction – basics (9:04)

  • Start

    Hashtables introduction – collisions (6:59)

  • Start

    Hashtables introduction – load factor & dynamic resizing (6:03)

  • Start

    Chaining method summary (4:05)

  • Start

    Chaining implementation I – put (9:16)

  • Start

    Chaining implementation II – get (4:27)

  • Start

    Chaining implementation III – testing

  • Start

    Linear probing summary (3:59)

  • Start

    Linear probing implementation I – put (5:32)

  • Start

    Linear probing implementation II – get (2:57)

  • Start

    Linear probing implementation III – testing (4:44)

  • Start

    Generic linear probing implementation I – basics (6:44)

  • Start

    Generic linear probing implementation II – get (4:14)

  • Start

    Generic linear probing implementation III – put (5:35)

  • Start

    Generic linear probing implementation IV – remove (6:26)

  • Start

    Generic linear probing implementation V – resize (5:30)

  • Start

    Generic linear probing implementation VI – testing (2:39)

  • Start

    Generic linear probing implementation – hashCode (2:05)

  • Start

    Maps in Java Collections (5:52)

Least Recently Used (LRU) Cache
  • Start

    Why to use cache? (3:25)

  • Start

    LRU cache introduction (8:06)

  • Start

    LRU cache implementation I (4:22)

  • Start

    LRU cache implementation II (11:18)

Course Materials
  • Start

    Slides

  • Start

    Source code

Delivery Method

– After your purchase, you’ll see a View your orders link which goes to the Downloads page. Here, you can download all the files associated with your order.
– Downloads are available once your payment is confirmed, we’ll also send you a download notification email separate from any transaction notification emails you receive from coursesblock.com
– Since it is a digital copy, our suggestion is to download and save it to your hard drive. In case the link is broken for any reason, please contact us and we will resend the new download link.
– If you cannot find the download link, please don’t worry about that. We will update and notify you as soon as possible at 8:00 AM – 8:00 PM (UTC 8).

Thank You For Shopping With Us!

Original price was: $19.00.Current price is: $9.00.

[Download Now] Holczer Balazs – Algorithms and Data Structures in Java – Part I Product Delivery: You will receive a download link via your order email immediately Should you have any question, do not hesitate to contact us: support@coursesblock.com