You can run Jupyter directly from the department server:
- First run the following command
git clone [email protected]:hughshanahan/CS2900-Lab-1.git
to clone the repository and cd into the repository folder.
- Then run
jupyter notebook
to launch the notebook in the browser.
You may have to copy and paste a URL from the output on the command line to the browser.
Once it has loaded, you be greeted with this screen:
Double-click on the file "Lab1.ipynb". This should create a new tab with the following:
Follow the instructions from there...
Finally, you can also run Jupyter from your own computer. Instructions on this can be found at https://jupyter.org/install. If you do not have it you, Anaconda is a handy tool to download Python and Jupyter in one bundle.
You will need to clone the repository as above, and then launch your conda
environment and install the packages in the requirements.txt folder.
The main ones you will need are numpy and matplotlib.
Make sure these are installed before starting the notebook!