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SUMMARY:Making and Querying Databases in SQL with DuckDB
DESCRIPTION:Date: November 26 2025 \n\n\n\nWant to work with structured data more efficiently? SQL (Structured Query Language) is a powerful tool for managing and analyzing data and it’s easier to get started than you might think. \n\n\n\nThis beginner-friendly workshop introduces SQL using DuckDB\, a lightweight\, cross-platform database that runs locally and requires no setup. Through hands-on practice\, you’ll learn how to create a database\, add data to it\, and write queries to find the information you need. \n\n\n\nBy the end of this session\, participants will be able to: \n\n\n\n\nUnderstand the basic structure and purpose of SQL\n\n\n\nCreate and populate a DuckDB database\n\n\n\nWrite and run basic SQL queries to explore and extract data\n\n\n\n\nThis session is ideal for beginners in data analysis\, researchers\, and students who want a gentle introduction to databases using a simple and powerful tool. No prior experience required! \n\n\n\nDetails: 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. \n\n\n\nFacilitator Bio: John Fink is the Digital Scholarship Librarian in the Sherman Centre. \n\n\n\nCertificate 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. \n\n\n\nCredit Eligibility: This workshop counts toward credit for students in the Faculty of Science who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any questions\, please contact oursci@mcmaster.ca.
URL:https://ccdhhn.ca/workshop/making-and-querying-databases-in-sql-with-duckdb/
LOCATION:Nova Scotia
CATEGORIES:1-4 hour workshop
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SUMMARY:Introduction to Python: Part 3
DESCRIPTION:Date: November 26th 2025 \n\n\n\nInstructor: Kendra Oudyk \n\n\n\nThis set of five workshops is an introduction to Python programming\, with a focus on skills that are relevant to students and researchers who are working with data\, particularly tabular data. \n\n\n\nThe five workshops cover the following: \n\n\n\n\nPart 1: To understand the basics of Python syntax\, variables\, and data types.\n\n\n\nPart 2: To learn how to work with tabular data in Python\, including reading\, manipulating\, and visualizing data.\n\n\n\nPart 3: To learn how to automate tasks in Python\, including working with multiple files.\n\n\n\nPart 4: To learn to use logic and modularity to make Python code flexible and reusable.\n\n\n\nPart 5: To develop good habits for programming for research in Python\, including handling errors\, debugging\, and writing reliable code.\n\n\n\n\nParticipants must sign up for each workshop individually. It is not necessary to sign up for the first workshop in order to do the second (and so on)\, but note that each workshop will build on the topics covered in previous workshops in this series. \n\n\n\nPrerequisites:\n\n\n\nThere are no prerequisites needed for this series; no prior programming experience is required. \n\n\n\nSetup Instructions:\n\n\n\nIn these workshops\, we will write Python code in a text editor called Visual Studio Code (VS Code). \n\n\n\nPlease follow the following steps/links to complete the setup for this workshop series before you attend: \n\n\n\n\nInstall a Python Interpreter\n\n\n\nInstall Visual Studio Code\n\n\n\nInstall the Python extension for VS Code. If you want more info on installing extensions for VS Code\, see this page on their “Extension Marketplace”\n\n\n\nInstall this Python Debugger extension for VS Code\n\n\n\n\nNOTE: You may use your own preferred text editor or Jupyter Notebooks to write code in these workshops\, but keep in mind that some aspects may be unpredictably different from the way things appear on the instructor’s screen. For example\, the instructor will frequently use the Python Debugger in VS Code\, and other text editors may have entirely different mechanisms for debugging\, and you may have to figure that out on your own. If you want to follow what the instructor is doing exactly\, you should install VS Code and the extensions listed above.
URL:https://ccdhhn.ca/workshop/introduction-to-python-part-3-2/
LOCATION:The University of British Columbia\, 1958 Main Mall\, Vancouver\, British Columbia\, V62 1Z2\, Canada
CATEGORIES:1-4 hour workshop
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