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Depth First Search Algorithm: Graphs on C++

Learn DFS for free and begin your programming career! Code templates included.

Free tutorial

Created by Lucas Bazilio

English

Free

What you’ll learn

  • Master Depth First Search
  • Be able to implement and work with Graphs in C++
  • Become job-ready by understanding how DFS really works behind the scenes
  • Apply robust Computer Science techniques for Depth First Search
  • How to think and work like a computer scientist: problem-solving, researching, workflows
  • Get fast and friendly support in the Q&A area

Requirements

  • Any computer and OS will work — Windows, macOS or Linux.
  • Basic knowledge of Programming in C++

Description

You’ve just stumbled upon the most complete, in-depth Depth First Search Algorithm course online.

Whether you want to:

– build the skills you need to get your first computer science job

– move to a more senior software developer position

– become a computer scientist mastering in computation

– or just learn DFS to be able to create your own applications quickly.

…this complete Depth First Search Masterclass is the course you need to do all of this, and more.

This course is designed to give you the DFS skills you need to become an expert. By the end of the course, you will understand the DFS algorithm extremely well and be able to apply it in your own data structures applications and be productive as a computer scientist and developer.

Read Also -->   Introduction to Algorithms and Data structures in C++

What makes this course a bestseller?

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Depth First Search course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes no previous data science experience and takes you from absolute beginner core concepts. You will learn the core dimensionality reduction skills and master the DFS algorithm. It’s a one-stop shop to learn DFS. If you want to go beyond the core content you can do so at any time.

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have.

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

There’s no risk either!

This course comes with a guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked.

You either end up with DFS skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

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You literally can’t lose.

Moreover, the course is packed with practical exercises that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models.

And as an extra, this course includes C++ code templates which you can download and use on your own projects.

Ready to get started, developer?

Enroll now using the “Add to Cart” button on the right, and get started on your way to creative, advanced DFS brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, DFS is waiting!)

Who this course is for:

  • Any people who want to start learning DFS in Computer Science
  • Anyone interested in Data Structures
  • Anyone who want to understand how to apply DFS in practise using C++

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Course content

3 sections • 4 lectures • 1h 42m total lengthCollapse all sections

Graphs0 lectures • 0min

Depth First Search3 lectures • 54min

  • Introduction to Depth First Search08:45
  • Implementation of the Depth First Search32:10
  • Depth First Search for Disconnected Graph12:55

Solved Problems1 lecture • 49min

  • Problem 1 – Treasures in a Map49:04

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