Part 1: Introduction to Basic Programming with Data
In this first part of the 3-part workshop series, “Introduction to Python for Data Science,” we offer an introduction to Python for non-programmers with a focus on data analysis. In this workshop, we will demonstrate how to do basic Python programming in Jupyter Notebooks. Topics will include working with different data types and using built-in functions and libraries to read and manipulate data.
Presenters
Chasz Griego 
Science and Engineering Librarian
Office: 4410, Sorrells Library
cgriego@andrew.cmu.edu | Schedule a Consultation
Learning Objectives
Workshop attendees will be able to:
- Run Python programs in JupyterLab
- Create variables that store data
- Identify different data types
- Call built-in Python functions
Setup
To be best prepared for this workshop, please follow the setup instructions prior to attending.
Interactive Notepad
During the workshop, you can ask and answer questions in this Etherpad, a notepad for live collaboration.
Pre-Workshop Survey
Before the start of the workshop, please complete this survey. Thank you!!
Schedule
| Section | Time |
|---|---|
| Setup and Pre-Workshop Survey | |
| Running and Quitting | 00:00 |
| Variables and Assignment | 00:25 |
| Break | 00:55 |
| Data Types and Type Conversion | 01:00 |
| Built-in Functions and Help | 01:20 |
| Post-Workshop Survey | 01:50 |
| Finish | 02:00 |
Interactive Curriculum
Click the Binder badge below to work through the course content in JupyterLab.
Post-Workshop Survey
Please complete this survey after attending the workshop. Thank you!!!
Table of contents
- Running and Quitting
- Variables and Assignment
- Data Types and Type Conversion
- Built-in Functions and Help