About this Event
2130 H Street NW, Washington DC 20052
Attendees will work with logic and code to solve common computational problems. Whether you have experience with the Python language or not, this workshop offers the opportunity to break down problems into discrete steps and compose these steps into a logical plan. Those more experienced with Python will have the opportunity to practice using variables, loops, conditionals, and data structures like strings, lists, and dictionaries. Through a mixture of hands-on activity and pair programming, this workshop will build programming skills while offering the chance to have fun.
Please download Google Chrome or Mozilla Firefox ahead of the workshop.
This workshop is part of the Tools for Data Analysis series for those looking to deepen their understanding of how to interact with data and more effectively and creatively communicate their research findings to wide audience. If you need personalized assistance with a data analysis, programming, or a coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services to support programming and coding and for working with data.
This workshop is part of the Using Programming and Code for Research series for anyone who wants to get started or learn more about use programming languages like Python, R, or other applications. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services for programming and coding and for working with data.
This workshop is part of the Program with Python series for anyone who wants to get started or learn more about using the programming language, Python. These tools can help you to collect, manipulate, clean, analyze, and visualize research data or automate many repetitive tasks. If you need personalized assistance with a data analysis, programming, or a coding project, consider booking a consultation with one of our librarian-experts. Learn more about our services to support programming and coding and for working with data.
All sessions are free to GW students, faculty, staff, and alumni. GW has an institutional commitment to ensuring that all of our programs and events are accessible for all individuals. If you require any accommodations to participate in this event, please contact libraryevents@gwu.edu at least 72 business hours (3 business days) prior to the event.
In-person attendance of this workshop is open to anyone whose GWorld allows them to tap into Gelman Library.