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, using built-in functions and libraries like Pandas to read and manipulate data. Part 2 will offer an extensive tutorial on Jupyter Notebooks and Jupyter Lab, and part 3 will expand on the programming skills covered in this part, covering more advanced techniques on plotting and analyzing data.

Date: February 7, 2023
Time: 1:00-3:00 pm
Location: The Den, Sorrells Library

Presenters

Chasz Griego
Open Science Postdoctoral Associate
Office: 4416, Sorrells Library
cgriego@andrew.cmu.edu | Schedule a Consultation

Setup

To be best prepared for this workshop, please follow the setup instructions prior to attending.

Schedule

Section	Time
Setup
Running and Quitting	01:00
Variables and Assignment	01:15
Data Types and Type Conversion	01:35
Break	01:55
Built-in Functions and Help	02:00
Libraries	02:20
Workshop Survey	02:30
Reading Tabular Data into DataFrames	02:35
Finish	03:00

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 in advance!!!