Udemy - Complete Algorithms Complexity and Big O Notation Course

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Complete Algorithms Complexity and Big O Notation Course [TutsNode.com] - Complete Algorithms Complexity and Big O Notation Course 01 Complexity Evaluation
  • 015 Examples.mp4 (189.9 MB)
  • 001 Contents.en.srt (1.4 KB)
  • 015 Examples.en.srt (36.4 KB)
  • 007 Big O Notation.en.srt (25.8 KB)
  • 006 Mathematical Comparison of Functions.en.srt (15.0 KB)
  • 013 Amortized Analysis.en.srt (12.0 KB)
  • 003 Complexity Evaluation.en.srt (11.3 KB)
  • 004 Complexity Cases.en.srt (2.2 KB)
  • 007 Big O Notation.mp4 (112.4 MB)
  • 012 Recursive Functions Complexity.en.srt (10.2 KB)
  • 014 Space Complexity.en.srt (8.6 KB)
  • 010 log N Complexity.en.srt (6.7 KB)
  • 008 Typical Complexities Evaluation.en.srt (5.8 KB)
  • 002 Reasons to Study Big O Notation. Mathematical Function.en.srt (5.6 KB)
  • 005 Complexities Comparison.en.srt (5.3 KB)
  • 009 Addition and Multiplication.en.srt (1.4 KB)
  • 011 Strings and Complexity Evaluation.en.srt (5.2 KB)
  • 016 Summary.en.srt (1.4 KB)
  • 012 Recursive Functions Complexity.mp4 (52.9 MB)
  • 014 Space Complexity.mp4 (38.4 MB)
  • 011 Strings and Complexity Evaluation.mp4 (34.5 MB)
  • 006 Mathematical Comparison of Functions.mp4 (30.4 MB)
  • 003 Complexity Evaluation.mp4 (25.9 MB)
  • 008 Typical Complexities Evaluation.mp4 (25.9 MB)
  • 005 Complexities Comparison.mp4 (24.5 MB)
  • 013 Amortized Analysis.mp4 (23.9 MB)
  • 010 log N Complexity.mp4 (15.9 MB)
  • 004 Complexity Cases.mp4 (12.4 MB)
  • 002 Reasons to Study Big O Notation. Mathematical Function.mp4 (10.2 MB)
  • 009 Addition and Multiplication.mp4 (6.2 MB)
  • 016 Summary.mp4 (2.6 MB)
  • 001 Contents.mp4 (2.2 MB)
  • TutsNode.com.txt (0.1 KB)
  • [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB)
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Description


Description

To develop effective code, each developer needs to know how to evaluate the complexity of the algorithms.

The course “Big O Notation. Algorithms Complexity Evaluation.” in simple language explains the mathematics behind the complexity of algorithms, cases of complexity, the complexity of recursion, strings, amortized analysis and space complexity. In addition we solve 15 examples, some of which are found in interviews on Google, Facebook, Amazon.

We have reworked many books and articles to the most effective for perception and understanding form. As a result this course is independent by its nature and does not require studying of any additional materials. Basic programming skills is the only requirement to understand the course!

Important note: you can always pause the video and process into every aspect of the material in detail!
Who this course is for:

Beginners who want to understand from scratch to professional what complexity evaluation is
Developers of any level who want to pass an interview at companies such as Google, Facebook, Apple
Developers who want to learn how to write effective code
Beginner developers curious about time complexity evaluation and Big O Notation

Requirements

Basic programming skills (you need to know how to write an “if-else” clause and a “for” loop)

Last Updated 10/2019



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Udemy - Complete Algorithms Complexity and Big O Notation Course

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Download torrent
610 MB
seeders:19
leechers:0
Udemy - Complete Algorithms Complexity and Big O Notation Course

Torrent hash: 3B247470BE9E12DAB8D0960CCD6C0B9860AA43E8