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Merge pull request #46 from filipmihal/online-workspace

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Added a link to an online workspace
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Gerges Dib
2020-02-14 18:17:26 -08:00
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@@ -15,6 +15,10 @@ These assignments work seamlessly with the class and do not require any of the m
- The `python` assignments can be submitted for grading. They were tested to work perfectly well with the original Coursera grader that is currently used to grade the MATLAB/OCTAVE versions of the assignments.
- After each part of a given assignment, the Jupyter Notebook contains a cell which prompts the user for submitting the current part of the assignment for grading.
## Online workspace
You can work on the assignments in an online workspace called [Deepnote](https://www.deepnote.com/). This allows you to play around with the code and access the assignments from your browser. [<img height="22" src="https://beta.deepnote.com/buttons/launch-in-deepnote.svg">](https://beta.deepnote.com/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Fdibgerge%2Fml-coursera-python-assignments)
## Downloading the Assignments
To get started, you can start by either downloading a zip file of these assignments by clicking on the `Clone or download` button. If you have `git` installed on your system, you can clone this repository using :