English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 26 lectures (6h 43m) | 6.27 GB

Sharpen your coding skills. Master algorithms, optimize solutions, enhance problem-solving and problem breakdown.

Are you looking to enhance your programming skills and take your problem-solving abilities to the next level? Welcome to Mastering Algorithms: Solving Project Euler Challenges, a comprehensive course designed to help developers and enthusiasts alike sharpen their coding skills through engaging and challenging algorithmic problems.

In my experience, there’s nothing that competes with using the basics in a creative, clever way. Although I forgot most of my algebra and math theory as soon as I got out of school, I’ve found that this knowledge is incredibly valuable for becoming a better programmer and writing more efficient, scalable, and optimal solutions!

Course Structure: Each video is dedicated to a single Project Euler problem. In the first half, we will be on the board, breaking down the problem (as they get very tricky to understand as we progress). In the second half, we will implement solutions and often find ways to optimize them. Currently, the videos use Python for implementation because it is the most ubiquitous language for this kind of work. However, even if you are a C, Java, or Node/JavaScript developer, you will be able to follow the problem breakdown and likely understand the Python code. If not, you’ll still be able to solve the problems on your own!

By the end of this course, you’ll not only have solved numerous Project Euler problems but also gained a deeper understanding of algorithms and a robust skill set that will serve you well in your programming career. Enroll now and start your journey to becoming a master problem-solver!

What you’ll learn

- Creative Problem-Solving: Develop the ability to think outside the box and tackle complex problems with innovative solutions
- Algorithm Optimization: Learn techniques to write efficient code that runs faster and uses fewer resources.
- Mathematical Foundations: Strengthen your understanding of the mathematical principles that underpin many algorithmic challenges.
- Code Implementation: Gain hands-on experience coding solutions in Python (potentially others).
- Debugging and Testing: Master the art of debugging and testing your code to ensure it works correctly and efficiently.

## Table of Contents

**Introduction & Starter (easy) problems**

1 Introduction

2 Problem 1

3 Problem 2

4 Problem 3

5 Problem 4

6 Problem 5

7 Problem 6

8 Problem 7

9 Problem 8

10 Problem 9

**Problems 10-19 – When they start to get hard!**

11 Problem 10

12 Problem 11

13 Problem 12

14 Problem 13

15 Problem 14

16 Problem 15

17 Problem 16

18 Problem 17

19 Problem 18

20 Problem 19

**Problems 20-30 – difficult (from here on out)**

21 Problem 20

22 Problem 21

23 Problem 22

24 Problem 23

25 Probelm 25

26 Problem 26

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