A lecture within the Foundations of Digital Humanities series at the Faculty of Arts CUNI, focused on the practical use of AI assistants and agent-based systems in programming and software development. The lecture included an introduction to the tools Cursor, Claude Code, and web-based AI coding agents.

This workshop introduces agentic systems in the context of biomedical research and their use in data analysis, workflows, and computational infrastructure.

This one-afternoon course focuses on practical data analysis and visualization in Python using Pandas and Matplotlib.

This two-day introductory course provides a practical foundation in Python programming, designed for beginners and researchers who want to start working with Python for data analysis and scientific tasks. The course is hands-on and practice-oriented, with examples and exercises throughout both afternoons. By the end of the course, participants will be able to write simple Python scripts, process data from files, and perform basic numerical analysis using NumPy.

Online seminar focusing on the introduction of the newly established Research Software Engineering (RSE) team at Charles University and the computational services available to researchers and students.

The workshop focused on developing key skills in automation, efficient data handling, and best practices in research software development.

Participants learned how to automate repetitive tasks using the Unix shell (Bash), work efficiently with files and data via the command line, and gained a basic understanding of version control. They acquired practical experience with Git and the GitHub platform, including tracking changes, reverting to previous versions, and collaborating on software development within a team.