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[ DevCourseWeb.com ] Complete Algorithms Complexity and Big O Notation Course
Download More Courses Visit and Support Us -->> https://DevCourseWeb.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 lectures (1h 57m) | Size: 582.2 MB
From beginner to professional in 2 hours!
What you'll learn:
Algorithm Time and Space Complexity Evaluation
Big O Notation
Interview Coding Tasks Review
Time Complexity Cases
Time Complexities Comparison
Mathematical Comparison of Functions
Typical Complexities Evaluation
log N Complexity
Strings and Complexity Evaluation
Recursive Algorithms Complexity
Amortized Analysis
Space Complexity
Requirements
Basic programming skills (you need to know how to write an "if-else" clause and a "for" loop)
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.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Download More Courses Visit and Support Us -->> https://DevCourseWeb.com
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