Udemy - Learning Algorithms in JavaScript from Scratch [Course Drive]
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| Course Downloaded from coursedrive.net.txt | 428 B | ||
| Learning Algorithms in JavaScript from Scratch | |||
| 01 Introduction | |||
| 001 Introduction to Algorithms Course Layout.mp4 | 11 MB | ||
| 02 Fizz Buzz | |||
| 002 Fizz Buzz - Intro.mp4 | 2.71 MB | ||
| 003 Modulus Operator.mp4 | 2.32 MB | ||
| 004 Fizz Buzz - Code.mp4 | 8.64 MB | ||
| 005 Fizz Buzz - Testing.mp4 | 1.84 MB | ||
| 006 Fizz Buzz - Source Code.html | 605 B | ||
| 03 Harmless Ransom Note | |||
| 007 Harmless Ransom Note - Intro.mp4 | 3.07 MB | ||
| 008 Time Complexity Big O Notation.mp4 | 16.62 MB | ||
| 009 Harmless Ransom Note - Code Part 1.mp4 | 11.13 MB | ||
| 010 Harmless Ransom Note - Code Part 2.mp4 | 5.01 MB | ||
| 011 Harmless Ransom Note - Testing.mp4 | 6.73 MB | ||
| 012 Harmless Ransom Note - Source Code.html | 1.37 KB | ||
| 04 Is Palindrome | |||
| 013 Is Palindrome - Intro.mp4 | 2.21 MB | ||
| 014 Is Palindrome - Code.mp4 | 9.55 MB | ||
| 015 Is Palindrome - Testing.mp4 | 1.63 MB | ||
| 016 Is Palindrome - Source Code.html | 776 B | ||
| 05 Caesar Cipher | |||
| 017 Caesar Cipher - Intro.mp4 | 3.28 MB | ||
| 018 Caesar Cipher - Code.mp4 | 16.45 MB | ||
| 019 Caesar Cipher - Testing.mp4 | 2.47 MB | ||
| 020 Caesar Cipher - Source Code.html | 1.12 KB | ||
| 06 Reverse Words | |||
| 021 Reverse Words - Intro.mp4 | 3.15 MB | ||
| 022 Reverse Words - Code.mp4 | 6.14 MB | ||
| 023 Reverse Words - Testing.mp4 | 1.4 MB | ||
| 024 Reverse Words - Source Code.html | 743 B | ||
| 07 Reverse Array In Place | |||
| 025 Reverse Array In Place - Intro.mp4 | 2.14 MB | ||
| 026 Reverse Array In Place - Code.mp4 | 9.09 MB | ||
| 027 Reverse Array In Place - Testing.mp4 | 1.26 MB | ||
| 028 Reverse Array In Place - Source Code.html | 629 B | ||
| 08 Mean Median Mode | |||
| 029 Mean Median Mode - Intro.mp4 | 2.85 MB | ||
| 030 Mean Median Mode - Code Part 1.mp4 | 11.16 MB | ||
| 031 Mean Median Mode - Code Part 2.mp4 | 15.2 MB | ||
| 032 Mean Median Mode - Testing.mp4 | 3.24 MB | ||
| 033 Mean Median Mode - Source Code.html | 1.59 KB | ||
| 09 Two Sum | |||
| 034 Two Sum - Intro.mp4 | 5.26 MB | ||
| 035 Two Sum - Code.mp4 | 6.57 MB | ||
| 036 Two Sum - Testing.mp4 | 2.23 MB | ||
| 037 Two Sum - Source Code.html | 740 B | ||
| 10 Binary Search | |||
| 038 Binary Search - Intro.mp4 | 4.37 MB | ||
| 039 Introduction to Recursion the Call Stack.mp4 | 17.13 MB | ||
| 040 Binary Search - Code.mp4 | 15.48 MB | ||
| 041 Binary Search - Testing.mp4 | 2.36 MB | ||
| 042 Binary Search - Source Code.html | 926 B | ||
| 11 Fibonacci | |||
| 043 Fibonacci - Intro.mp4 | 4.84 MB | ||
| 044 Fibonacci - Code.mp4 | 5.95 MB | ||
| 045 Fibonacci - Testing.mp4 | 5.29 MB | ||
| 046 Fibonacci - Source Code.html | 499 B | ||
| 12 Memoized Fibonacci | |||
| 047 Memoized Fibonacci - Intro.mp4 | 4.6 MB | ||
| 048 Memoized Fibonacci - Code.mp4 | 9.37 MB | ||
| 049 Memoized Fibonacci - Testing.mp4 | 4.04 MB | ||
| 050 Memoized Fibonacci - Source Code.html | 644 B | ||
| 13 Sieve of Eratosthenes | |||
| 051 Sieve of Eratosthenes - Intro.mp4 | 7.52 MB | ||
| 052 Sieve of Eratosthenes - Code.mp4 | 8.36 MB | ||
| 053 Sieve of Eratosthenes - Testing.mp4 | 2.17 MB | ||
| 054 Sieve of Eratosthenes - Source Code.html | 826 B | ||
| 14 Bubble Sort | |||
| 055 Bubble Sort - Intro.mp4 | 7.75 MB | ||
| 056 Bubble Sort - Code.mp4 | 6.86 MB | ||
| 057 Bubble Sort - Testing.mp4 | 1.97 MB | ||
| 058 Bubble Sort - Source Code.html | 733 B | ||
| 15 Merge Sort | |||
| 059 Merge Sort - Intro.mp4 | 5.25 MB | ||
| 060 Merge Sort - Code.mp4 | 16.6 MB | ||
| 061 Merge Sort - Animations.mp4 | 8.23 MB | ||
| 062 Merge Sort - Testing.mp4 | 1.84 MB | ||
| 063 Merge Sort - Source Code.html | 1.08 KB | ||
| 16 Max Stock Profit | |||
| 064 Max Stock Profit - Intro.mp4 | 5.37 MB | ||
| 065 Max Stock Profit - Code.mp4 | 10.2 MB | ||
| 066 Max Stock Profit - Testing.mp4 | 2.95 MB | ||
| 067 Max Stock Profit - Source Code.html | 952 B | ||
| 17 Next Steps | |||
| 068 Next Steps.mp4 | 4.91 MB | ||
| 069 Data Structures Coupon.html | 571 B | ||
| ReadMe.txt | 428 B | ||
| Visit Coursedrive.net.url | 124 B | ||
| Visit Coursedrive.net.url | 124 B |
Description
Learning Algorithms in JavaScript from Scratch Download
Make your code & programs faster and more efficient by using algorithms. Be very well prepared for technical interviews.
What you'll learn
Code out important algorithms in JavaScript
Improve the efficiency, performance, and scalability of your code, applications, and programs
Excel in technical engineering/programming interviews at both large companies and small companies
Create your own, custom, algorithms that can perform whatever functionality you may need
Requirements
Basic javascript knowledge - this course teaches algorithms from the ground up
Description
This course teaches algorithms in javascript from the ground up. Using algorithms in your programming allows you to improve the efficiency, performance, speed, and scalability of your code/applications/programs. You will learn what algorithms are, why they are important, and how to code them out in JavaScript. You will also learn other important programming concepts along the way such as functional programming, time complexity, recursion, and other important concepts, because you will be implementing them in the algorithms that you build throughout this course. This course also heavily uses diagrams and animations to help make understanding the material easier.
This course is also very good for anyone who is interviewing for developer/engineering jobs at both large and small companies. Interviewers will very often ask candidates to write algorithms out in code, and this course will prepare you very well to do that. If you have recently graduated from a coding bootcamp or are currently looking for a job, you will find this course to be beneficial. Knowing algorithms will absolutely help you to excel in technical interviews.
Who this course is for:
Anyone who wants to learn how to code out algorithms in JavaScript
Anyone who wants to learn how to implement algorithms in their applications
Anyone who is currently, or will be interviewing for engineering/developer roles and wants to be well prepared for technical interview questions
Anyone who already knows algorithms but needs a refresher
Anyone who wants to strengthen their computer science fundamentals
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