From 7be98ac3cd361b003f8661ffc83806ff293a6ef3 Mon Sep 17 00:00:00 2001 From: Filip Date: Mon, 18 Nov 2019 14:26:25 +0100 Subject: [PATCH] Added a link to Deepnote --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index ca997de..6bb7cc8 100755 --- a/README.md +++ b/README.md @@ -13,7 +13,11 @@ These assignments work seamlessly with the class and do not require any of the m - The original assignment instructions have been completely re-written and the parts which used to reference MATLAB/OCTAVE functionality have been changed to reference its `python` counterpart. - The re-written instructions are now embedded within the Jupyter Notebook along with the `python` starter code. For each assignment, all work is done solely within the notebook. - 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. +- 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. [](https://beta.deepnote.com/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Fdibgerge%2Fml-coursera-python-assignments) ## Downloading the Assignments @@ -24,7 +28,7 @@ To get started, you can start by either downloading a zip file of these assignme Each assignment is contained in a separate folder. For example, assignment 1 is contained within the folder `Exercise1`. Each folder contains two files: - The assignment `jupyter` notebook, which has a `.ipynb` extension. All the code which you need to write will be written within this notebook. - A python module `utils.py` which contains some helper functions needed for the assignment. Functions within the `utils` module are called from the python notebook. You do not need to modify or add any code to this file. - + ## Requirements These assignments has been tested and developed using the following libraries: