Complete Algorithms Complexity and Big O Notation Course

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Files

Complete Algorithms Complexity and Big O Notation Course 01 Complexity Evaluation
  • 015 Examples.mp4 (189.9 MB)
  • 001 Contents.en.srt (1.4 KB)
  • 001 Contents.mp4 (2.2 MB)
  • 002 Reasons to Study Big O Notation. Mathematical Function.en.srt (5.6 KB)
  • 002 Reasons to Study Big O Notation. Mathematical Function.mp4 (10.2 MB)
  • 003 Complexity Evaluation.en.srt (11.3 KB)
  • 003 Complexity Evaluation.mp4 (25.9 MB)
  • 004 Complexity Cases.en.srt (2.2 KB)
  • 004 Complexity Cases.mp4 (12.4 MB)
  • 005 Complexities Comparison.en.srt (5.3 KB)
  • 005 Complexities Comparison.mp4 (24.5 MB)
  • 006 Mathematical Comparison of Functions.en.srt (15.0 KB)
  • 006 Mathematical Comparison of Functions.mp4 (30.4 MB)
  • 007 Big O Notation.en.srt (25.8 KB)
  • 007 Big O Notation.mp4 (112.4 MB)
  • 008 Typical Complexities Evaluation.en.srt (5.8 KB)
  • 008 Typical Complexities Evaluation.mp4 (25.9 MB)
  • 009 Addition and Multiplication.en.srt (1.4 KB)
  • 009 Addition and Multiplication.mp4 (6.2 MB)
  • 010 log N Complexity.en.srt (6.7 KB)
  • 010 log N Complexity.mp4 (15.9 MB)
  • 011 Strings and Complexity Evaluation.en.srt (5.2 KB)
  • 011 Strings and Complexity Evaluation.mp4 (34.5 MB)
  • 012 Recursive Functions Complexity.en.srt (10.2 KB)
  • 012 Recursive Functions Complexity.mp4 (52.9 MB)
  • 013 Amortized Analysis.en.srt (12.0 KB)
  • 013 Amortized Analysis.mp4 (23.9 MB)
  • 014 Space Complexity.en.srt (8.6 KB)
  • 014 Space Complexity.mp4 (38.4 MB)
  • 015 Examples.en.srt (36.4 KB)
  • 016 Summary.en.srt (1.4 KB)
  • 016 Summary.mp4 (2.6 MB)
  • READ_ME.txt (0.4 KB)

Description

Complete Algorithms Complexity and Big O Notation Course



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



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Complete Algorithms Complexity and Big O Notation Course


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608.5 MB
seeders:4
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Complete Algorithms Complexity and Big O Notation Course


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