Add a toy web with 6 simple functions(golang and python), wich CI scripts in codes and log printer(golang) of CPU usage and memory usage and a health check(python). Each zip file can be seen as a micro server. All the deployment works are based on docker and QPC cluster management(I borrow the resources from my friend). You can check the toy web in this link: http://editor.40300217.qpc.hal.davecutting.uk/
Next step I will try to use AWS or GCP to add some data persistence function.

• Read the instructions in the sample notebook exploration.ipynb saved under brickmovers_explor_and_vis/code to perform the task
• Save the answer as exploration_<yourname>.ipynb under the same folder
• The data required are saved under brickmovers_explor_and_vis/data

• Read the instructions in the sample notebook loan_data.ipynb saved under brickmovers_explor_and_vis/code to perform the task
• Save the answer as loan_data_<yourname>.ipynb under the same folder
• The data required are saved under brickmovers_explor_and_vis/data

• Read the instructions in the sample notebook visualization_data.ipynb saved under brickmovers_explor_and_vis/code to perform the task
• Save the answer as visualization_data_final.ipynb under the same folder
• The data required are saved under brickmovers_explor_and_vis/data
• You should only work on your branch. You can push your changes to master branch and pull the latest changes by others from the master branch
• You should discuss with the team the changes being made before pushing to master branch

Part 1:

• Read the code simple_linear_regression.py saved under brickmovers_explor_and_vis/code
• The data required are saved under brickmovers_explor_and_vis/data
• Put the the code into a notebook simple_linear_regression_<yourname>.ipynb
• You will need to install the packages and modify the paths in order to run the code
• You should only work on your branch. You can push your changes to master branch