Overview

This workshop is for members of the Helen Diller Family Comprehensive Cancer Center and the general cancer community. The workshop will build on programming concepts introduced in Part 1 to read, analyze, and graph data from the file system. 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:

• Importing and parsing unstructured data from the file system
• Importing and converting tabular data into DataFrames
• Selecting, filtering, and subsetting tabular data
• Generating summary statistics on a tabular data set
• Plotting and Graphing

Prerequisites

• Intro to Python: Part 1 
• 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 2

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).