Udemy - Big O Notation for Algorithms in plain English

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[ DevCourseWeb.com ] Udemy - Big O Notation for Algorithms in plain English
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction Big O Notation Part 1.mp4 (188.2 MB)
    • 1. Introduction Big O Notation Part 1.srt (11.3 KB)
    • 2. Cracking an A to Z padlock.html (0.2 KB)
    • 3. Introduction Big O Notation Part 2.mp4 (94.8 MB)
    • 3. Introduction Big O Notation Part 2.srt (5.5 KB)
    • 4. Understanding Scalability.mp4 (36.4 MB)
    • 4. Understanding Scalability.srt (14.2 KB)
    • 5. Useful pointers for this course.html (0.5 KB)
    2. Linear Complexity Functional Class
    • 1. What does it look like to scale linearly.mp4 (54.4 MB)
    • 1. What does it look like to scale linearly.srt (3.6 KB)
    • 2. Finding Minimum Algorithm.mp4 (14.4 MB)
    • 2. Finding Minimum Algorithm.srt (8.1 KB)
    • 3. String Equals Algorithm.mp4 (28.2 MB)
    • 3. String Equals Algorithm.srt (12.7 KB)
    3. Quadratic Complexity Functional Class
    • 1. Understanding the Quadratic Runtime.mp4 (51.6 MB)
    • 1. Understanding the Quadratic Runtime.srt (7.9 KB)
    • 2. Closest Points Brute Force Algorithm.mp4 (32.7 MB)
    • 2. Closest Points Brute Force Algorithm.srt (15.6 KB)
    • 3. Closest Points Brute Force Analysis.mp4 (75.4 MB)
    • 3. Closest Points Brute Force Analysis.srt (11.6 KB)
    • 4. Optimizing Closest Points Brute Force.mp4 (35.9 MB)
    • 4. Optimizing Closest Points Brute Force.srt (14.8 KB)
    4. Constant Complexity Functional Class
    • 1. Introduction to Constant Runtime Algorithms.mp4 (35.3 MB)
    • 1. Introduction to Constant Runtime Algorithms.srt (3.0 KB)
    • 2. Number of Edges in a Graph Algorithm.mp4 (25.8 MB)
    • 2. Number of Edges in a Graph Algorithm.srt (11.7 KB)
    • 3. Improving Algorithm and Analysis.mp4 (29.0 MB)
    • 3. Improving Algorithm and Analysis.srt (11.8 KB)
    5. Exponential Complexity Functional Class
    • 1. How fast is Exponential Growth.mp4 (34.7 MB)
    • 1. How fast is Exponential Growth.srt (9.2 KB)
    • 2. Subset Sum Problem Explained.mp4 (26.1 MB)
    • 2. Subset Sum Problem Explained.srt (15.3 KB)
    • 3. Subset Sum Implementation and Analysis.mp4 (20.3 MB)
    • 3. Subset Sum Implementation and Analysis.srt (7.2 KB)
    6. Logarithmic Complexity Functional Class
    • 1. Introduction to Logarithms.mp4 (59.6 MB)
    • 1. Introduction to Logarithms.srt (7.6 KB)
    • 2. Binary Search Algorithm.mp4 (38.1 MB)
    • 2. Binary Search Algorithm.srt (17.0 KB)
    • 3. Why is Binary Search Logarithmic.mp4 (36.2 MB)
    • 3. Why is Binary Search Logarithmic.srt (15.4 KB)
    7. Log Linear Complexity Functional Class
    • 1. Understanding Log Linear Complexity Functional Class.mp4 (17.3 MB)
    • 1. Understanding Log Linear Complexity Functional Class.srt (9.0 KB)
    • 2. Building the Merge Sort.mp4 (19.3 MB)
    • 2. Building the Merge Sort.srt (7.6 KB)
    • 3. How scalable is a Log Linear algorithm.mp4 (58.8 MB)
    • 3. How scalable is a Log Linear algorithm.srt (10.6 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Big O Notation for Algorithms in plain English



https://DevCourseWeb.com

Published 06/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 23 lectures (2h 48m) | Size: 1 GB

A gentle introduction to asymptotic notation, complexity theory and algorithm runtime or space complexity classification

What you'll learn
Learn what the Big O notation is about
Look at an algorithm and classify it according to their Big O complexity
Identify and write more performant code and algorithms in your work as a software developer
Acquire the extra knowledge to help you pass more coding interviews
Exponential O(c^n), Quadratic O(n^2), Linear O(n), Log Linear O(n Log n), Logarithmic O(Log n) and Constant O(1) Complexity Functional Classes
Introduction to Complexity Theory

Requirements
Some basic programming experience required. The code in the course is in Python however the code is simple enough that if you know how to program in any major language you'll be ok.
This course is designed to be light on mathematics to facilitate understanding. If you can grasp the simple math in the (free) intro video you'll be ok for the rest of the course!



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Udemy - Big O Notation for Algorithms in plain English

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1012.6 MB
seeders:10
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Udemy - Big O Notation for Algorithms in plain English

Torrent hash: F6F36FA22E9CC097BAEE431ADF9F11DF97E6B620