Now that we have had an introduction to the command line, have seen how to clone GitHub repos to our local machine (our computer), and have seen some common Jupyter Notebook operations, it's time to put our skills to the test! Follow the instructions below to pass the tests for this lab. If you're unfamiliar with the concept of variables, don't worry. Just follow along with the instructions - we'll talk about variables and data types much more in the next few lessons!

You will be able to:

• Make changes to a jupyter notebook and push it up to GitHub
• Perform basic computations in a Jupyter Notebook and store them in a variable

Assign the below variable number to the number 27 by replacing None with 27.

number = None
number

Next, like the above, reassign the flatiron_mantra variable with the string "Learn. Love. Code.".

flatiron_mantra = None
flatiron_mantra

Finally, in your command line type python -m pytest -x to see if your tests are passing. If you would like to see a more detailed test output, type python -m pytest -vv and it will show each test line by line with its name and whether you've passed or failed it.

Once all your tests are passed, type git add ., then git commit -m "finished lab and all tests are passing", and finally git push.

The last step, in order to pass a lab, is to make a pull request on GitHub. It's relatively straightforward and will become more natural and easy as you go through the course. Just follow the steps below:

1. Go back to the GitHub repository you forked and then cloned. Remember we clicked on the GitHub icon at the top of our learn lesson, then clicked fork, which then brings us to our forked repository? Once we are at the forked repo, click on the New Pull Request button. (You can optionally click the green "Compare & pull request" button.

2. Then we will be directed to a new page where we will click a green Create pull request button.

3. Which then will direct us to the final page, where we will finally commit our pull request by clicking "Create pull request" one more time. Feel free to update or add to your pull request message, but you can simply skip that step and submit the pull request.

And that's it! You may need to refresh your learn.co lesson page, but your light should be green and allow you to move on to the next lesson as long as you have passed the tests (which we made sure to do before creating our pull request)! (Note: For now, you will have to click the "I'm done" button as we rework learn to automatically validate our Python tests.)

Great work! We are well on our way to mastering Jupyter notebooks! We practiced reassigning variables, running cells, checking our outputs, and running our tests to get them to pass.