Author: Basilio Goncalves, PhD, University of Vienna, 2025
Uspace https://uspace.univie.ac.at/web/lehre/lehrveranstaltungdetail?lehrveranstaltungId=991145.28
Moodle https://moodle.univie.ac.at/course/view.php?id=446235
Repository https://github.com/basgoncalves/research_methods
Requirements:
- Computer with wifi
- Access to Python https://colab.research.google.com/drive/1MQPLlt6CuMSz0j0lU1y5y2Ny2YJ1f8Eh
Class Structure:
- Introduction: Daily topic relevant methods
- Activity Overview: Explain the activity: each student will throw a ball 10 times, recording their success rate. Groups will then analyze the data using Python.
- Individual learning (20 minutes) Follow class guide individually or in groups
- Group Discussion (15 minutes): Share findings and discuss different approaches.
- Conclusion (10 minutes): Summarize key learnings and address any questions.
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Download a Code Interpreter
I recommend Visual Studio Code, but use your preferred one. -
Download and Install Python (suggest 3.8)
Make sure it is the correct bit version: Python 3 -
Download and Install Git
Download Git from Git and follow the installation instructions. -
Undertand these basic terms
- Path Directory: Where you save project files.
- File Repository: Storage for project files, usually a Git repo.
- Version Control: Tracks file changes over time.
- Virtual Environment: Isolated Python environment for managing dependencies.
- Dependencies: External libraries/packages needed for the project.
- Create a Virtual Environment
Note: use any name you want for <\myenv>
cd 'path/on/your/computer/to/save/the /project' # make sure the path is not python -m venv <myenv>
- Clone this Module to your virtual environment
cd .\<myenv>\Lib\site-packagesgit clone https://github.com/basgoncalves/research_methods.git
- Install requirements
cd .\<myenv>\Lib\site-packages\research_methods pip install -r requirements.txt
Start a new folder in the repository cloned
