Hi, everyone, welcome back.
I hope you really enjoyed our Millennium Challenge Solution walkthrough, and this is just an extra
bonus that I wanted to bring you guys in the last video.
Some of you may have noticed that we actually scraped a little bit of extra information.
Due to the tags that we were using on the page, so I wanted to, one, give you guys an opportunity
to do some more practical work and be able to get some feedback, and you can use the following code,
the code that you see here.
I'll also add it in the resources of this lecture in an article so you can click on the link.
This is a link to an individual assignment on GitHub.
I set up a GitHub classroom for us.
This is completely optional.
So this is up to you.
But this is a way for you to obtain some feedback.
And I will do my best to check everyone that submits their project on the GitHub classroom.
And I'm only asking to please keep the uploads when you visit this link to just a singular DCPI file
for your Millennium Challenge solution.
But I will be able to leave feedback for you and it will look something like the following.
You will see this Millennium Challenge for modern web scraping the name of the Threat Intelligence Group
that is my company that I consult for both cybersecurity and I.
So that's why you will see that name.
But you'll see the Millennium Challenge, my name, the modern web scraping challenge one, and you'll
be able to add your code.
Remember, just to add the dot pi file, if it's in a folder, that's fine, but just a dot pi file
and I'll be able to give you some feedback on the file whether I see anything that could be changed
or if you did a great job or anything like that.
So if you're working and you want to one, get some extra information, extra practice, if you want
to practice and learn more about GitHub, this is a great opportunity.
It's also a great opportunity to build a repository or a type of portfolio that you'll be able to show
that you submit a piece of work for this where you were able to get some feedback and solve the coding
challenge.
And as a little bonus, if you want to try and solve if you want to try and walk down the tree, you
can try to scrape the extra information that we pulled or you could just drop it from the data frame.
But if you went about this task any other way, if you found the elements in any other method, if you
went beyond this project to build more into the scraping, please feel free to share as a PDF file.
And I will be more than happy to take a look and try to give you some feedback.
Hope you guys enjoy it if you have any questions about the link or about the project, please post in
the Q&A and I will follow up and I will see you in the next section.