Copenhagen 2018 Summer School QuantEcon Workshop

Instructors: John Stachurski and Natasha Watkins

Homepage: https://quantecon.org/copenhagen-summer-school-2018

Schedule

• 9:00 - 10:30: Introduction to QuantEcon, Jupyter notebooks, and Python
• 10:45 - 12:15: Python for data handling, analysis, and visualisation, numerical techniques
• 12:15 - 13:15: Lunch
• 13:15 - 14:45: Intro to Numba
• 15:00 - 16:30: Dynamic programming applications with Numba and parallelization
• 16:45 - 18:15: Computer lab/office hours

Links:

• Anaconda
• AWS
• Accessing AWS via SSH

Notes on AWS

To get an instance running

1. Login to Amazon AWS Console
2. Navigate to EC2 Service
3. Choose your region for setting up an instance
4. Create security key-pair for the region if you don't have one
5. Launch & Configure an instance and choose Ubuntu 64-bit
6. enable access through Port 8000 (in addition to Port 22 for ssh)
7. Choose security key you've set up

Connecting and set up

Use ssh -i /path/to/pem-key ubuntu@hostname

Here hostname is your Public DNS, as shown in the instance information from AWS console

Now run sudo apt-get update so you can install things you might need using apt-get

Configure instance to run Jupyter

1. ssh into the running instance using IP from AWS Console
2. Install Anaconda using wget and the latest download link for python36
3. Run: jupyter notebook --generate-config
4. For Automatic Password Setup run: jupyter notebook password
5. Edit .jupyter/jupyter_notebook_config.py and set the following

# Set ip to '*' to bind on all interfaces (ips) for the public server
c.NotebookApp.ip = '*'
c.NotebookApp.open_browser = False
c.NotebookApp.port = 8000