Udemy - Data Structures and Algorithms Deep Dive Using Java

seeders: 5
leechers: 8
updated:
Added by escobar623 in Other > Tutorials

Download Fast Safe Anonymous
movies, software, shows...

Files

[GigaCourse.com] Udemy - Data Structures and Algorithms Deep Dive Using Java 1. Introduction
  • 1. Introduction From Tim Buchalka.mp4 (41.1 MB)
  • 1. Introduction From Tim Buchalka.srt (3.2 KB)
  • 1.1 The Future of the Data Structures and Algorithms Course.html (0.2 KB)
  • 10. Introduction to Algorithms.mp4 (22.3 MB)
  • 10. Introduction to Algorithms.srt (8.6 KB)
  • 2. Introduction to the Course.mp4 (11.7 MB)
  • 2. Introduction to the Course.srt (7.0 KB)
  • 3. JDK8 for Windows.mp4 (9.9 MB)
  • 3. JDK8 for Windows.srt (10.5 KB)
  • 4. JDK8 for MAC.mp4 (6.5 MB)
  • 4. JDK8 for MAC.srt (5.9 KB)
  • 5. JDK8 for Linux.mp4 (9.2 MB)
  • 5. JDK8 for Linux.srt (7.7 KB)
  • 6. IntelliJ for Windows.mp4 (17.4 MB)
  • 6. IntelliJ for Windows.srt (22.3 KB)
  • 7. IntelliJ for MAC.mp4 (23.7 MB)
  • 7. IntelliJ for MAC.srt (22.6 KB)
  • 8. IntelliJ for Linux.mp4 (18.2 MB)
  • 8. IntelliJ for Linux.srt (22.5 KB)
  • 9. Introduction to Data Structures.mp4 (12.5 MB)
  • 9. Introduction to Data Structures.srt (6.2 KB)
10. Heaps
  • 1. Introduction to Heaps.mp4 (1.0 MB)
  • 1. Introduction to Heaps.srt (1.1 KB)
  • 10. Heapsort (Implementation).mp4 (13.1 MB)
  • 10. Heapsort (Implementation).srt (12.4 KB)
  • 10.1 Source code - Heaps - Heapsort (Implementation).html (0.1 KB)
  • 2. Heaps (Theory).mp4 (35.6 MB)
  • 2. Heaps (Theory).srt (15.7 KB)
  • 3. Storing Heaps as Arrays.mp4 (32.0 MB)
  • 3. Storing Heaps as Arrays.srt (15.8 KB)
  • 4. Heaps (Insert).mp4 (14.5 MB)
  • 4. Heaps (Insert).srt (16.7 KB)
  • 4.1 Source code - Heaps - Heaps (Insert).html (0.1 KB)
  • 5. Heaps (Delete Theory).mp4 (30.9 MB)
  • 5. Heaps (Delete Theory).srt (13.7 KB)
  • 6. Heaps (Delete).mp4 (36.0 MB)
  • 6. Heaps (Delete).srt (38.4 KB)
  • 6.1 Source code - Heaps - Heaps (Delete).html (0.1 KB)
  • 7. Heaps (Peek).mp4 (9.1 MB)
  • 7. Heaps (Peek).srt (10.7 KB)
  • 7.1 Source code - Heaps - Heaps (Peek).html (0.1 KB)
  • 8. Priority Queues.mp4 (21.7 MB)
  • 8. Priority Queues.srt (21.6 KB)
  • 8.1 PriorityQueue class Javadoc.html (0.1 KB)
  • 8.2 Source code - Heaps - Priority Queues.html (0.1 KB)
  • 9. Heapsort (Theory).mp4 (23.2 MB)
  • 9. Heapsort (Theory).srt (9.2 KB)
11. Course Wrap-Up
  • 1. Sets.mp4 (6.9 MB)
  • 1. Sets.srt (5.1 KB)
  • 1.1 Sets interface Javadoc.html (0.1 KB)
  • 1.2 TreeSet class Javadoc.html (0.1 KB)
  • 1.3 HashSet class Javadoc.html (0.1 KB)
  • 1.4 LinkedHashSet class Javadoc.html (0.1 KB)
  • 2. Course Wrap-Up.mp4 (8.3 MB)
  • 2. Course Wrap-Up.srt (2.6 KB)
  • 3. Tell Us What Content You Want Us To Add!.html (0.5 KB)
12. Extra Information - Source code, and other stuff
  • 1. Source Codes.html (15.2 KB)
  • 2. Bonus Lecture and Information.mp4 (96.7 MB)
  • 2. Bonus Lecture and Information.srt (9.3 KB)
  • 2.1 Free Course and Programming Guide PDF.pdf (9.6 MB)
2. Arrays and Big-O Notation
  • 1. Introduction to Arrays.mp4 (1.5 MB)
  • 1. Introduction to Arrays.srt (1.7 KB)
  • 2. Big-O Notation.mp4 (18.5 MB)
  • 2. Big-O Notation.srt (26.2 KB)
  • 2.1 Time Complexity Graph Wikipedia.html (0.2 KB)
  • 3. A Quick Review of Arrays in Java.mp4 (11.6 MB)
  • 3. A Quick Review of Arrays in Java.srt (13.4 KB)
  • 3.1 Source code - Arrays and Big-O Notation - A Quick Review of Arrays in Java.html (0.1 KB)
  • 4. Arrays in Memory.mp4 (38.5 MB)
  • 4. Arrays in Memory.srt (16.7 KB)
  • 5. Big-O Values for Array Operations.mp4 (16.1 MB)
  • 5. Big-O Values for Array Operations.srt (22.7 KB)
  • 5.1 Source code - Arrays and Big-O Notation - Big-O Values for Array Operations.html (0.1 KB)
3. Sort Algorithms
  • 1. Introduction to Sort Algorithms.mp4 (1.7 MB)
  • 1. Introduction to Sort Algorithms.srt (2.1 KB)
  • 10. Shell Sort (Implementation).mp4 (15.9 MB)
  • 10. Shell Sort (Implementation).srt (22.1 KB)
  • 10.1 Source code - Sort Algorithms - Shell Sort (Implementation).html (0.1 KB)
  • 11. Recursion.mp4 (27.8 MB)
  • 11. Recursion.srt (33.8 KB)
  • 11.1 Dr. Dobbs article on Tail Recursion and Java.html (0.1 KB)
  • 11.2 Source code - Sort Algorithms - Recursion.html (0.1 KB)
  • 12. Merge Sort (Theory).mp4 (98.3 MB)
  • 12. Merge Sort (Theory).srt (41.5 KB)
  • 13. Merge Sort (Implementation).mp4 (43.5 MB)
  • 13. Merge Sort (Implementation).srt (55.8 KB)
  • 13.1 Source code - Sort Algorithms - Merge Sort (Implementation).html (0.1 KB)
  • 14. Quick Sort (Theory).mp4 (44.2 MB)
  • 14. Quick Sort (Theory).srt (17.9 KB)
  • 15. Quick Sort (Implementation).mp4 (21.2 MB)
  • 15. Quick Sort (Implementation).srt (21.6 KB)
  • 15.1 Source code - Sort Algorithms - Quick Sort (Implementation).html (0.1 KB)
  • 16. Counting Sort (Theory).mp4 (34.5 MB)
  • 16. Counting Sort (Theory).srt (15.1 KB)
  • 17. Counting Sort (Implementation).mp4 (13.8 MB)
  • 17. Counting Sort (Implementation).srt (15.6 KB)
  • 17.1 Source code - Sort Algorithms - Counting Sort (Implementation).html (0.1 KB)
  • 18. Radix Sort (Theory).mp4 (64.8 MB)
  • 18. Radix Sort (Theory).srt (20.6 KB)
  • 19. Stable Counting Sort (Theory).mp4 (73.6 MB)
  • 19. Stable Counting Sort (Theory).srt (25.5 KB)
  • 2. Bubble Sort (Theory).mp4 (35.0 MB)
  • 2. Bubble Sort (Theory).srt (16.0 KB)
  • 20. Radix Sort (Implementation).mp4 (25.3 MB)
  • 20. Radix Sort (Implementation).srt (23.7 KB)
  • 20.1 Source code - Sort Algorithms - Radix Sort (Implementation).html (0.1 KB)
  • 21. Sorting Arrays Using the JDK.mp4 (14.9 MB)
  • 21. Sorting Arrays Using the JDK.srt (13.2 KB)
  • 21.1 Source code - Sort Algorithms - Sorting Arrays Using the JDK.html (0.1 KB)

Description

Udemy - Data Structures and Algorithms Deep Dive Using Java



Description

So you’ve worked with the basics of data structures and algorithms in Java (or another OO programming language) but feel like you need a deeper knowledge of how things work.

Maybe you have taken other courses on this topic that focus more on teaching how to pass job interview tests (theory) instead of how to make good choices for the programs you develop (implementation).

Or maybe you are ready to move from a junior programming position to a more senior one and need to get skilled in advanced concepts like data structures, and how to apply them to your own projects.

Whatever the reason, if you are looking for a course that focus on the implementations to give you a complete understanding of how things work, then this is the course for you.

This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered.

Complete source code is included and available for you to download.

This is a hands-on course! If you want to try understand things at a deep level, and work on implementations, rather than theory, then again, this is the course for you.

Topics covered:-

Arrays
Linked Lists
Trees
Hashtables
Stacks
Queues
Heaps
Sort algorithms
Search algorithms

The course also spends more time than most other courses of its kind looking at what’s available in the JDK. Students wanting to understand how things work “under the hood” will benefit enormously from this course.

Why learn about data structures and algorithms?

The reality is, the more you learn about data structures and algorithms, the better a programmer you become.

Why?

Because, data structures and algorithms are effectively patterns for solving problems. You want to add as many of them as you can to your skill-set. By doing so, you will find you solve more problems, and use the right tools for the job, in a more elegant way. And you will learn a heap of them in this course.

Why enrolling in this course is the best decision you can make.

Your instructor, Sarah Ettritch has over 25 years’ software development experience and has been working with Java since JDK 1.1. She has spent many years creating tools used by developers, which required a deep knowledge of data structures and algorithms, and is perfectly qualified to teach this course.

Most courses focus on giving you the theory of how things work, so that you can take an interview. Whilst the theory is important, the knowledge of how to implement these data structures and algorithms are of vital importance.

This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered. The main focus of the course is to give you a real understanding of how things work under the hood, so that you can apply this to future programming projects.

If you want to actually understand how things work, and be able to take that understanding and apply it to your own programs, then this course is for you.

After completing this course, you will have a solid understanding of data structures and algorithms (both the theory, and the implementation).

The sooner you sign up for this course, the sooner you will have the skills and knowledge you need to increase your job or consulting opportunities. Java developers with key skills and understanding of data structures and algorithms are in high demand and get paid extremely well.

If you are ready for that new job promotion or consulting opportunity, it’s time to get started.

Created by Tim Buchalka, Goran Lochert, Tim Buchalka’s Learn Programming Academy
Last updated 2/2020
English
English [Auto-generated]



Download torrent
3.4 GB
seeders:5
leechers:8
Udemy - Data Structures and Algorithms Deep Dive Using Java


Trackers

tracker name
udp://tracker.opentrackr.org:1337/announce
udp://p4p.arenabg.com:1337/announce
udp://tracker.tiny-vps.com:6969/announce
udp://zephir.monocul.us:6969/announce
udp://chihaya.toss.li:9696/announce
http://tracker.files.fm:6969/announce
udp://tracker.zerobytes.xyz:1337/announce
udp://explodie.org:6969/announce
udp://open.stealth.si:80/announce
udp://tracker.uw0.xyz:6969/announce
https://tracker.nanoha.org:443/announce
udp://retracker.akado-ural.ru:80/announce
udp://tracker.zum.bi:6969/announce
http://tracker.nyap2p.com:8080/announce
µTorrent compatible trackers list

Download torrent
3.4 GB
seeders:5
leechers:8
Udemy - Data Structures and Algorithms Deep Dive Using Java


Torrent hash: 6D36FD70D70AD89D6888E341F5D616B1E6691275