Introduction to Python Programming Online
Interested in learning one of the world’s most popular programming languages? Python is beginner-friendly and widely used across many fields for data analysis, automation, and more. This hands-on workshop will introduce you to Python’s basic concepts, including data types, variables, and simple operations on numbers and strings. No prior experience with Python is needed.
This session will be recorded and made publicly available. It’s perfect for anyone looking for a practical introduction to Python programming.
By the end of this session, participants will be able to:
- Understand fundamental Python data types and variables
- Perform basic operations on numbers and strings
- Write simple Python code to manipulate and store data
Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre's Online Learning Catalogue.
Certificate Eligibility: This workshop is eligible for the Sherman Centre's certificate program. For more information, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more, visit ccdhhn.ca or contact scds@mcmaster.ca.
- Date:
- Thursday, October 15, 2026
- Time:
- 1:30pm - 3:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- McMaster + Community
- Categories:
- DASH DRI Training SCDS Sponsored Events Workshops
THE SHERMAN CENTRE FOR DIGITAL SCHOLARSHIP
The Sherman Centre for Digital Scholarship connects people, builds community, and enables research to support and advance digital scholarship. We work with students, faculty, staff, and community collaborators at McMaster and beyond to support research, teaching, learning, and knowledge mobilization through digital scholarship.
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CODE OF CONDUCT
The Sherman Centre and the McMaster University Libraries are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour.
We strive to make this event accessible to everyone. Where possible, sessions are recorded and include live captioning, and we will share recordings, slides, and transcripts afterward so you can revisit the content at your own pace. Because these materials are provided, and to help protect participant privacy and consent, we ask that attendees do not use AI note-taking or automated recording tools (such as Otter.ai, Fireflies.ai, Zoom AI Companion, or similar apps) without prior permission from the organizers.
Please refer to our code of conduct webpage for more information.
Vivek (he/him) provides research support and consultation in the discovery, access, management, and use of quantitative and numeric research data. He works with students, faculty, and researchers to identify appropriate datasets, navigate data repositories, understand data documentation and metadata, and select resources that support research and teaching across a wide range of disciplines.
As part of his role, Vivek serves as McMaster University’s official representative for Statistics Canada’s Data Liberation Initiative (DLI) and the Inter-university Consortium for Political and Social Research (ICPSR). Through these programs, McMaster researchers and students have access to extensive collections of high-quality research data covering the social sciences, health sciences, business, economics, education, political science, and many other disciplines.
In addition to his work with DLI and ICPSR, Vivek supports data literacy, statistical software, and research data workshops at McMaster University. His areas of support include introductory and intermediate data analysis tools and programming environments such as R, Python, SPSS, SAS, SQL, and Excel, as well as assistance with finding and evaluating datasets for research projects.
The Sherman Centre for Digital Scholarship supports McMaster students, faculty, and staff, as well as anyone curious about digital scholarship. From research and teaching to training and technical support, we’re here to help bring digital projects to life at every stage!
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