Each of these sessions is two hours.
During the first two sessions we will introduce the key concepts of the Python language: variables, functions, control structures, IO, exception handling as well the concept of object-oriented programming.
During the third and fourth sessions, we will focus on how Python can be used in a scientific environment by using Numpy and SciPy.
To participate in the hands-on exercises:
a. You will need to a laptop with a functional connection to the campus WiFi (or any internet connection if you attend via Zoom).
b. Log in to one of our Jupyter Hub servers.
If you have a U of Utah uNID: log in to https://juno.chpc.utah.edu/ using your uNID and its password.
If you do not have a U of Utah uNID: log in to https://pythonclass.chpc.utah.edu/ using a valid email address as a login, and enter any password to set up your account. Note: the pythonclass server will only be running during class. It is not a secure environment, and should only be used for class activities. Files in your account will be emailed to the email address used as your login at the conclusion of the class.
c. Once you have logged in to one of the Jupyter Hub servers, open a terminal from
the New >> Terminal menu option on the right. At the "$" prompt, enter the command:
git clone https://github.com/CHPC-UofU/python-lectures.git
Once the git command completes you should have a new directory named "python-lectures". You can close the terminal window tab in your web browser.
d. Back in the main Jupyter tab of your browser, click on "python-lectures", then "notebooks", and finally "hands_on_intro_to_python.ipynb".