Learn to Program with the Reproducible Research with Python Workshop Series

Have you always wanted to learn to program but never had the chance? 

Research Data Librarian Isaac Wink is offering three workshops in September to help you get acquainted with the basics of Python and learn how it can be used for reproducible research. Sessions will provide guided instruction on key concepts and resources to help you hone your coding skills and continue your independent learning.

The in-person workshops will take place in The Stacks: Digital Scholarship Center on the first three Tuesdays in September. 

No prior coding experience is necessary for the first workshop but is recommended for the second and third.

The series is held in partnership with UK’s Center for Computational Sciences (CCS). Lessons will be hosted via CCS’s high-performance computing cluster. Along the way, participants will learn more about accessing and using CCS’s resources.  

Contact TheStacks@uky.edu with any questions.

Reproducible Research with Python

• Reproducible Research with Python 1: Core Concepts and Data Types
  • In this first workshop, participants will learn the basics of working in Python, including writing code in Jupyter notebooks, variables, expressions, operators, and essential data types. No prior coding experience is necessary.
  • Tuesday, September 2
  • 2pm – 3:30pm
  • The Stacks Presentation Space
  • Register here.
     
• Reproducible Research with Python 2: Exploring Datasets with Pandas
  • In this second workshop in the series, participants will learn data organization and exploration in pandas, the most popular Python library for managing tabular data. Basic familiarity with Python (such as completion of Reproducible Research with Python 1 workshop) is recommended.
  • Tuesday, September 9
  • 2pm – 3:30pm
  • The Stacks Presentation Space
  • Register here.
     
• Reproducible Research with Python 3: Reproducible Data Manipulation with Pandas
  • In this third and final workshop in the series, participants will build on their skills for working with tabular data with pandas by learning how to perform common data cleaning tasks, such as dropping, creating, and transforming columns, manipulating date-time data, and filtering a dataset—all in a reproducible manner that can be repeated infinitely with just the press of a button. Basic familiarity with Python (such as completion of Reproducible Research with Python 1 and 2 workshops) is recommended.
  • Tuesday, September 16
  • 2pm – 3:30pm
  • The Stacks Presentation Space
  • Register here.

Need More Data?

Our digital scholarship and data librarians have a full slate of Fall 2025 workshops on offer to help you bring your research skills to the next level. Check out our series on tools, policies, best practices, and more beginning Tuesday, August 26 and lasting throughout the Fall semester.

UKnowledge (IR) Library Specialist Kyle Bachman-Johnson will hold two sets of open office hours monthly throughout the Fall semester for all UK Libraries users planning on writing or submitting a thesis or dissertation.

Visit our Research Workshops & Tutorials page to find all the opportunities to improve your research skills with UK Libraries, including the Fall 2025 Research Workshop Series presented by the Medical Center Library.