Giorgio Gilestro
ec56e51bf9
Four guided notebooks under notebooks/getting_started/ aimed at someone new to Python and data science. The series progresses: project orientation → Python/pandas crash course → exploring one tracking DB → first trained-vs-naive comparison using load_roi_data + Mann-Whitney U. Each notebook leans heavily on markdown explanations, includes exercises with empty cells, and links out to canonical references (JupyterLab, official Python tutorial, pandas 10-min guide, Wikipedia for stats concepts). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
596 B
596 B
Tutorial notebooks
Read these in order:
00_welcome.ipynb— what's the project, where the data lives, how to use a Jupyter notebook.01_python_pandas_basics.ipynb— minimum Python and pandas you need to read project code.02_explore_one_database.ipynb— open one tracking DB, plot a trajectory, compute a single distance.03_compare_trained_vs_naive.ipynb— first real analysis, comparing groups.
After these, the notebooks one level up (flies_analysis*.ipynb) walk
through the full analysis pipeline that the previous student built.