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 session, we will focus on how Python can be used in a scientific environment by using Numpy and SciPy. 

Prerequistes prior to the lectures:

a. You will need to bring a laptop with a functional connection to the campus WiFi. 

b. If you have a CHPC account then you can use the Jupyter Notebook environment. 

     Please check whether you have access to the Jupyter Notebook environment.

     You can do this in the following way:

•    Go to the URL: http://notebook.chpc.utah.edu
•    The username is your UoU unid; the password is your UoU password
  

    If you do NOT have access to the http://notebook.chpc.utah.edu website, please  

    install Anaconda (version 3.6 , NOT version 2.7) on your laptop.

    https://www.anaconda.com/download/

    If you encounter access/installation problems please let us know in advance.

c. The lectures that will be used can be found at:

    https://gitlab.chpc.utah.edu/bmilash/python_lectures

    You can retrieve them in a Linux terminal as follows:

    git clone https://gitlab.chpc.utah.edu/bmilash/python_lectures.git

d. To get the updated lecture materials, either:

    mv python_lectures python_lectures.old

    git clone https://gitlab.chpc.utah.edu/bmilash/python_lectures.git

-or-

    cd python_lectures

    git fetch --all

    git reset --hard origin/master