Clone this repo to get the code and data you need
git clone https://github.com/GMoncrieff/ALU_cloud
Add anaconda to your terminal path
export PATH=/opt/anaconda/bin:$PATH
Navigate to the project home directory
cd ALU_cloud
Copy the data you need from Google Cloud Storage
gsutil cp gs://alu-aiip-hlt/mpg_data.csv mpg_data.csv
Create a new python environment for this project, then activate it
conda create --yes --name ds python=3.5
source activate ds
Run a short cript to make jupyter visible to users through the web
chmod +x prep1.sh
./prep1.sh
Set a password for your jupyter session
jupyter notebook password
Launch jupyter
jupyter notebook --no-browser --port=8000
After completing the exercise, push your results to google cloud storage:
gsutil cp PLOT_HLT1.jpg gs://alu-aiip-hlt/plots/