Overview

This workshop is for members of the Helen Diller Family Comprehensive Cancer Center and the general cancer community. The workshop will provide an introduction to programming in Python for people with little or no previous programming experience. Exercises will be hands on and use the Jupyter notebook environment.

Learning Objectives

Introduction to Python Part 1 will follow the "Plotting and Programming with Python" lesson from the data carpentry organization.

Topics include:

• Running and quitting (Chapter 1)
• Variables and assignments (Chapter 2)
• Data Types and Type Conversion (Chapter 3)
• Built-in Functions and Help (Chapter 4)
• Libraries (Chapter 5)
• Lists (Chapter 11)
• For Loops (Chapter 12)
• Conditionals (Chapter 17)

Prerequisites

There are no prerequisites, other than to have the software installed on your laptop prior to the workshop (see below). Bring your laptop!

Software

• Install Jupyter Notebook using Anaconda. Make sure you choose python 3.x (current version is 3.7)

Materials

Materials and set up instructions available in the CLE: Introduction to Python, Part 1

Instructor

Geoff Boushey, Software Developer at the UCSF Library's Data Science Initiative

Sponsors

Computational Biology and Informatics Shared Resource (http://cbi.ucsf.edu), the Bioinformatics Shared Resource, and the Library Data Science Initiative (library.ucsf.edu/data-science).