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Requirements

It 1. It is recommended to have docker installed on the user's laptop to successfully follow the tutorial till the end

2. To save time, you can pull the docker image we use in the latter part of the tutorial in advance by running "docker pull dimuthuupe/ipykernel:1.3". The image size is around 208MB so make sure that you have enough disk space and network bandwidth to download it. 

Steps

1. Go to https://onlinerandomtools.com/generate-random-numbers and download a file that contains a list of random numbers. This will download a file named "output-onlinerandomtools.txt" to your downloads directory

2. Go to https://demo.notebooks.airavata.org/ and log in through CILogon

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4. Once the notebook server is available, you should be able to see a start an Open button in front of the notebook entry

5. Click the start open button and it will open up a new tab with access to the newly created notebook server

6. Using the notebook file viewer, upload the previously downloaded output-onlinerandomtools.txt to the root level of the notebook server

7. Click and open Example.ipynb notebook.

8. Run the following code blocks in individual notebook cells

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9. Above import will throw an error because the notebook runtime does not have matplotlib installed by default. To install matplotlib, get a new cell and run the following command

pip install matplotlib

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With 3 code blocks and matplotlib installation 

10. Once the library is installed, try running run code block 3 to make sure that the library is properly installedinstall the matplotlib successfully. 

11. Save the notebook and run the last line (See code block 4 below) of the notebook with an appropriate description. Replace <SUM> with the sum you have got. It is very important to save the notebook before running this command to capture the state appropriately 

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%export_states createArchive=True, uploadServer=http://172.17.0.1:8080/api, archiveName=Experiment with total sum <SUM>

12. Download the ARCHIVE.zip file to your local disk by clicking the link that appeared as the output of the above command

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docker run --cap-add=SYS_PTRACE -it -p 8888:8888 -v "<Local Archive Path>:/opt/ARCHIVE.zip" -e NOTEBOOK_TOKEN=123456 dimuthuupe/ipykernel:1.3

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