[O'Reilly] Learning Data Structures and Algorithms


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[O'Reilly] Learning Data Structures and Algorithms
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Torrent File Content (99 files)


[O'Reilly] Learning Data Structures and Algorithms
    Chapter 2 - Complexity Theory
          02.Big O Notation.FLV -
46.46 MB

    Chapter 10 - Recursion
          09.Fixing Fibonacci.FLV -
45.44 MB

    Chapter 7 - Sorting
          05.Quicksort - Part 2.FLV -
40.41 MB

    Chapter 2 - Complexity Theory
          04.Comparing Runtime Functions.FLV -
39.72 MB

    Chapter 9 - Hash Tables
          03.Open Addressing - Basics.FLV -
38.14 MB

    Chapter 5 - Arrays
          04.Sparse Arrays - Part 1.FLV -
35.74 MB

    Chapter 10 - Recursion
          06.Gaskets.FLV -
35.44 MB

    Chapter 3 - Numerical Algorithms
          11.Numerical Integration.FLV -
35.22 MB

    Chapter 8 - Searching
          03.Interpolation Search.FLV -
34.47 MB

    Chapter 3 - Numerical Algorithms
          02.Linear Congruential Generators.FLV -
33.36 MB

    Chapter 11 - Backtracking Algorithms
          02.The Eight Queens Problem - Part 1.FLV -
33.33 MB

          01.Backtracking.FLV -
33 MB

    Chapter 6 - Stacks And Queues
          04.Queues.FLV -
31.72 MB

    Chapter 10 - Recursion
          05.Hilbert Curves.FLV -
31.12 MB

          02.Fibonacci Numbers.FLV -
30.23 MB

    Chapter 8 - Searching
          02.Binary Search.FLV -
30.15 MB

    Chapter 15 - Network Algorithms
          08.Shortest Paths - Part 2.FLV -
29.97 MB

    Chapter 5 - Arrays
          01.One-Dimensional Arrays.FLV -
29.64 MB

    Chapter 9 - Hash Tables
          02.Chaining.FLV -
29.49 MB

    Chapter 4 - Linked Lists
          01.Singly Linked Lists - Part 1.FLV -
28.59 MB

    Chapter 5 - Arrays
          02.Triangular Arrays - Part 1.FLV -
28.46 MB

    Chapter 3 - Numerical Algorithms
          09.Finding Primes.FLV -
28.43 MB

    Chapter 11 - Backtracking Algorithms
          03.The Eight Queens Problem - Part 2.FLV -
27.85 MB

    Chapter 10 - Recursion
          08.Removing Recursion With Stacks.FLV -
27.36 MB

    Chapter 7 - Sorting
          02.Insertionsort.FLV -
27.24 MB

    Chapter 9 - Hash Tables
          01.Hash Tables.FLV -
26.22 MB

    Chapter 7 - Sorting
          08.Heapsort - Part 3.FLV -
25.87 MB

          13.Countingsort - Part 1.FLV -
25.28 MB

    Chapter 10 - Recursion
          03.Tower Of Hanoi.FLV -
25 MB

    Chapter 15 - Network Algorithms
          07.Shortest Paths - Part 1.FLV -
24.83 MB

    Chapter 3 - Numerical Algorithms
          04.Randomizing Arrays - Part 2.FLV -
24.32 MB

    Chapter 4 - Linked Lists
          04.Sorting With Linked Lists.FLV -
24.29 MB

    Chapter 14 - Decision Trees
          03.Branch And Bound.FLV -
23.91 MB

    Chapter 3 - Numerical Algorithms
          10.Testing Primality.FLV -
23.86 MB

    Chapter 7 - Sorting
          04.Quicksort - Part 1.FLV -
23.82 MB

    Chapter 10 - Recursion
          11.Permutations.FLV -
23.67 MB

    Chapter 2 - Complexity Theory
          03.Typical Runtime Functions.FLV -
23.66 MB

    Chapter 3 - Numerical Algorithms
          07.Prime Factorization - Part 1.FLV -
23.18 MB

    Chapter 7 - Sorting
          06.Heapsort - Part 1.FLV -
23.15 MB

          07.Heapsort - Part 2.FLV -
23.12 MB

    Chapter 11 - Backtracking Algorithms
          05.The Knights Tour.FLV -
22.86 MB

    Chapter 14 - Decision Trees
          01.Definition.FLV -
22.82 MB

    Chapter 10 - Recursion
          04.Koch Curves.FLV -
22.51 MB

          01.Recursion Basics.FLV -
22.37 MB

          10.Selections.FLV -
22.31 MB

    Chapter 7 - Sorting
          11.Bubblesort - Part 1.FLV -
21.36 MB

          15.Sorting Summary.FLV -
21.09 MB

          10.Mergesort - Part 2.FLV -
20.81 MB

    Chapter 5 - Arrays
          05.Sparse Arrays - Part 2.FLV -
20.56 MB

    Chapter 1 - Introduction
          01.Introduction And Course Overview.FLV -
20.43 MB



Description



 							Learning Data Structures and Algorithms
Implementation and Analysis for Increased Software Performance
By Rod Stephens
Final Release Date: February 2015
Run time: 7 hours 32 minutes

In this Learning Data Structures and Algorithms video training course, Rod Stephens will teach you how to analyze and implement common algorithms used in data processing. This course is designed for the absolute beginner, meaning no previous programming experience is required.

You will start by learning about the complexity theory, then jump into learning about numerical algorithms, including randomizing arrays, prime factorization, and numerical integration. From there, Rod will teach you about linked lists, such as singly linked lists, sorted, and doubly linked lists. This video tutorial also covers arrays, stacks and queues, and sorting. You will also learn about searching, hash tables, recursion, and backtracking algorithms. Finally, you will cover trees, balanced trees, decision trees, and network algorithms.

Once you have completed this video training course, you will be fully capable of analyzing and implementing algorithms, as well as be able to select the best algorithm for various situations. Working files are included, allowing you to follow along with the author throughout the lessons.

Link: http://shop.oreilly.com/product/0636920039884.do

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