Introduction to Python & Coding for HSS - Part I & II of the HSS Python Series

Join today
  • Instructor:  Tannia Chevez
  • Level: Beginner
  • Duration: 6 hours
  • Helpers: Sarah Cameron-Pesant, Meghan Landry, Caroline Baril
  • Date:  March 3 & 5, 2026 | 1:00 - 4:00 pm (Atlantic)
  • Prerequisite: None
Empty space, drag to resize
COURSE DESCRIPTION
This is the first workshop of a beginner level four-part series for humanities and social sciences researchers (HSS) and librarians. We will use Python due to its vast popularity, easy syntax, and powerful extensions, while working in the user-friendly and convenient JupyterLab environment. This session focuses on introducing participants to basic coding concepts and fundamentals to help them confidently participate in high-level conceptual discussions with computer programmers or technical team members. These general concepts will be reinforced and illustrated with the hands-on development of simple programs that can immediately help with text-based research and analysis. 

Participants can continue in the series to apply the Python knowledge with Textual Analysis (TextBlob) and LLMs. It is highly recommended that you complete this 2-part Python series before joining the Textual Analysis sessions. 

For the Python workshops, you do not need any previous knowledge of the tools that will be presented or prior programming experience.

You need a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc) on which you have administrative privileges, as you will need to pre-load specific software packages.


SETUP REQUIREMENTS
  • See instructions for how to download and setup Python here.

Meet your teaching team

Tannia Chevez

Instructor

Digital Training Specialist
BSc Computational Chemistry, Memorial University

Tannia joined ACENET in 2023 and is based in St. John’s. She has held positions as a research assistant in various departments, with responsibilities ranging from developing algorithms for an online animal sound repository, to crafting chemical composite films. Proficient in Python, Java, and JavaScript, she has focused on spectral data analysis, SEM image-based nanoparticle detection, and software development for data analysis. Tannia contributed significantly to the publication of a research paper by analyzing potential environmental toxicants, generating millions of chemical structure IDs, and conducting data extraction and analysis using Python, R, and JavaScript, as well as enhancing algorithms for simulating potential environmental toxicants’ behavior in water, soil, and air environments. Tannia’s teaching experience includes a Leader Instructor at Brilliant Labs where she taught a range of digital topics, and a Digital Literacy Instructor for the Association for New Canadians.

Meghan Landry

Helper

Manager, Client Engagement and Support | Humanities & Social Sciences Research Specialist
Meghan Landry is the Humanities & Social Sciences (HSS) Research Specialist with ACENET, and one of the Alliance HSS National Team Leads. She possesses an MLIS from McGill University and a BA in English Literature from UPEI. She joined ACENET from St. Francis Xavier University where she was the Scholarly Communications Librarian. Meghan specializes in working with sensitive data, digital humanities, and research data management. She is still based at StFX University, but serves all of Atlantic Canada and is active in national and regional humanities & social sciences initiatives.

ACENET
We are an Atlantic Canadian not-for-profit providing access to advanced digital research infrastructure, expertise, support and training to academic, industry and government researchers. Learn more about ACENET

Featured links

Connect with us

Copyright © 2026