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chore: Update directory structure and file names for Assignments and …
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…Lecture Notes
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marc committed Aug 20, 2024
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50 changes: 50 additions & 0 deletions Coding/Readme.md
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# Coding
- **Coding/**
- [Readme.md](Coding/Readme.md)
- [generateIndex.py](Coding/generateIndex.py)
- **Level 0 (Beginner)/**
- [Py04-plotting-b.ipynb](Coding/Level 0 (Beginner)/Py04-plotting-b.ipynb)
- [Py02-arrays-b.ipynb](Coding/Level 0 (Beginner)/Py02-arrays-b.ipynb)
- [PyE-Datascience.ipynb](Coding/Level 0 (Beginner)/PyE-Datascience.ipynb)
- [Py03-pandas-b.ipynb](Coding/Level 0 (Beginner)/Py03-pandas-b.ipynb)
- [Py01-py101-b.ipynb](Coding/Level 0 (Beginner)/Py01-py101-b.ipynb)
- **Level X (Done)/**
- [Py02-arrays.ipynb](Coding/Level X (Done)/Py02-arrays.ipynb)
- [Py04-plotting-b.ipynb](Coding/Level X (Done)/Py04-plotting-b.ipynb)
- [Py03-pandas.ipynb](Coding/Level X (Done)/Py03-pandas.ipynb)
- [Py02-arrays-b.ipynb](Coding/Level X (Done)/Py02-arrays-b.ipynb)
- [PyE-Datascience.ipynb](Coding/Level X (Done)/PyE-Datascience.ipynb)
- [Py5-BugFixing.ipynb](Coding/Level X (Done)/Py5-BugFixing.ipynb)
- [Py03-pandas-b.ipynb](Coding/Level X (Done)/Py03-pandas-b.ipynb)
- [Py04-plotting.ipynb](Coding/Level X (Done)/Py04-plotting.ipynb)
- [Py01-py101.ipynb](Coding/Level X (Done)/Py01-py101.ipynb)
- **Level 2 (Medium)/**
- [Py02-arrays.ipynb](Coding/Level 2 (Medium)/Py02-arrays.ipynb)
- [Py03-pandas.ipynb](Coding/Level 2 (Medium)/Py03-pandas.ipynb)
- [Py01-py101.ipynb](Coding/Level 2 (Medium)/Py01-py101.ipynb)
- **Level 1 (Easy)/**
- [Py02-arrays.ipynb](Coding/Level 1 (Easy)/Py02-arrays.ipynb)
- [Py03-pandas.ipynb](Coding/Level 1 (Easy)/Py03-pandas.ipynb)
- [Py01-py101.ipynb](Coding/Level 1 (Easy)/Py01-py101.ipynb)
- **Level 3 (Hard)/**
- [Py02-arrays.ipynb](Coding/Level 3 (Hard)/Py02-arrays.ipynb)
- [Py03-pandas.ipynb](Coding/Level 3 (Hard)/Py03-pandas.ipynb)
- [Py01-py101.ipynb](Coding/Level 3 (Hard)/Py01-py101.ipynb)
- **Data/**
- [satisfaction_survey.csv](Coding/Data/satisfaction_survey.csv)
- [Pancreas.tar.gz](Coding/Data/Pancreas.tar.gz)
- [medication_side_effects.csv](Coding/Data/medication_side_effects.csv)
- [clinical_tests.csv](Coding/Data/clinical_tests.csv)
- [patients.csv](Coding/Data/patients.csv)
- [clinical_trial.csv](Coding/Data/clinical_trial.csv)
- [Pancreas.zip](Coding/Data/Pancreas.zip)
- [high_risk_patients.csv](Coding/Data/high_risk_patients.csv)
- [bed_occupancy.csv](Coding/Data/bed_occupancy.csv)
- [readmissions.csv](Coding/Data/readmissions.csv)
- [icu_data.csv](Coding/Data/icu_data.csv)
- [createData.ipynb](Coding/Data/createData.ipynb)
- **images/**
- [mri_corrected_loops.jpg](Coding/Data/images/mri_corrected_loops.jpg)
- [dark_mri.jpg](Coding/Data/images/dark_mri.jpg)
- [mri_corrected_vectorized.jpg](Coding/Data/images/mri_corrected_vectorized.jpg)
- [mri.jpg](Coding/Data/images/mri.jpg)
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19 changes: 19 additions & 0 deletions Coding/generateIndex.py
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import os

def list_files(startpath):
with open("FileIndex.md", "w") as f:
f.write("# File Index\n\n")
for root, dirs, files in os.walk(startpath):
# Skip hidden directories
dirs[:] = [d for d in dirs if not d.startswith('.')]
level = root.replace(startpath, '').count(os.sep)
indent = ' ' * 4 * level
f.write(f"{indent}- **{os.path.basename(root)}/**\n")
subindent = ' ' * 4 * (level + 1)
for file in files:
if not file.startswith('.'): # Skip hidden files
file_path = os.path.join(root, file)
relative_path = os.path.relpath(file_path, startpath)
f.write(f"{subindent}- [{file}]({relative_path})\n")

list_files('.')
121 changes: 121 additions & 0 deletions FileIndex.md
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# File Index

- **./**
- [FileIndex.md](FileIndex.md)
- [README.md](README.md)
- [LICENSE](LICENSE)
- **Lecture_Notes/**
- [Python01-py101.md](Lecture_Notes/Python01-py101.md)
- [PythonE-Numpy.md](Lecture_Notes/PythonE-Numpy.md)
- [Python04-Plottong.md](Lecture_Notes/Python04-Plottong.md)
- [Python02-arrays.md](Lecture_Notes/Python02-arrays.md)
- [README.md](Lecture_Notes/README.md)
- [PythonE-GUI.md](Lecture_Notes/PythonE-GUI.md)
- [PythonE-Path and Filehandling.md](Lecture_Notes/PythonE-Path and Filehandling.md)
- [PythonE-Datascience.md](Lecture_Notes/PythonE-Datascience.md)
- [Python03-Pandas.md](Lecture_Notes/Python03-Pandas.md)
- **htmls/**
- [PythonE-GUI.html](Lecture_Notes/htmls/PythonE-GUI.html)
- [Python04-Plottong.html](Lecture_Notes/htmls/Python04-Plottong.html)
- [Python02-arrays.html](Lecture_Notes/htmls/Python02-arrays.html)
- [README.html](Lecture_Notes/htmls/README.html)
- [Python03-Pandas.html](Lecture_Notes/htmls/Python03-Pandas.html)
- [PythonE-Numpy.html](Lecture_Notes/htmls/PythonE-Numpy.html)
- [PythonE-Datascience.html](Lecture_Notes/htmls/PythonE-Datascience.html)
- [PythonE-Path and Filehandling.html](Lecture_Notes/htmls/PythonE-Path and Filehandling.html)
- [Python01-py101.html](Lecture_Notes/htmls/Python01-py101.html)
- **PDFs/**
- [PythonE-Numpy.pdf](Lecture_Notes/PDFs/PythonE-Numpy.pdf)
- [Python02-arrays.pdf](Lecture_Notes/PDFs/Python02-arrays.pdf)
- [Python03-Pandas.pdf](Lecture_Notes/PDFs/Python03-Pandas.pdf)
- [README.pdf](Lecture_Notes/PDFs/README.pdf)
- [Python04-Plottong.pdf](Lecture_Notes/PDFs/Python04-Plottong.pdf)
- [PythonE-Path and Filehandling.pdf](Lecture_Notes/PDFs/PythonE-Path and Filehandling.pdf)
- [PythonE-Datascience.pdf](Lecture_Notes/PDFs/PythonE-Datascience.pdf)
- [PythonE-GUI.pdf](Lecture_Notes/PDFs/PythonE-GUI.pdf)
- [Python01-py101.pdf](Lecture_Notes/PDFs/Python01-py101.pdf)
- **Coding/**
- [Readme.md](Coding/Readme.md)
- [generateIndex.py](Coding/generateIndex.py)
- **Level 0 (Beginner)/**
- [Py04-plotting-b.ipynb](Coding/Level 0 (Beginner)/Py04-plotting-b.ipynb)
- [Py02-arrays-b.ipynb](Coding/Level 0 (Beginner)/Py02-arrays-b.ipynb)
- [PyE-Datascience.ipynb](Coding/Level 0 (Beginner)/PyE-Datascience.ipynb)
- [Py03-pandas-b.ipynb](Coding/Level 0 (Beginner)/Py03-pandas-b.ipynb)
- [Py01-py101-b.ipynb](Coding/Level 0 (Beginner)/Py01-py101-b.ipynb)
- **Level X (Done)/**
- [Py02-arrays.ipynb](Coding/Level X (Done)/Py02-arrays.ipynb)
- [Py04-plotting-b.ipynb](Coding/Level X (Done)/Py04-plotting-b.ipynb)
- [Py03-pandas.ipynb](Coding/Level X (Done)/Py03-pandas.ipynb)
- [Py02-arrays-b.ipynb](Coding/Level X (Done)/Py02-arrays-b.ipynb)
- [PyE-Datascience.ipynb](Coding/Level X (Done)/PyE-Datascience.ipynb)
- [Py5-BugFixing.ipynb](Coding/Level X (Done)/Py5-BugFixing.ipynb)
- [Py03-pandas-b.ipynb](Coding/Level X (Done)/Py03-pandas-b.ipynb)
- [Py04-plotting.ipynb](Coding/Level X (Done)/Py04-plotting.ipynb)
- [Py01-py101.ipynb](Coding/Level X (Done)/Py01-py101.ipynb)
- **Level 2 (Medium)/**
- [Py02-arrays.ipynb](Coding/Level 2 (Medium)/Py02-arrays.ipynb)
- [Py03-pandas.ipynb](Coding/Level 2 (Medium)/Py03-pandas.ipynb)
- [Py01-py101.ipynb](Coding/Level 2 (Medium)/Py01-py101.ipynb)
- **Level 1 (Easy)/**
- [Py02-arrays.ipynb](Coding/Level 1 (Easy)/Py02-arrays.ipynb)
- [Py03-pandas.ipynb](Coding/Level 1 (Easy)/Py03-pandas.ipynb)
- [Py01-py101.ipynb](Coding/Level 1 (Easy)/Py01-py101.ipynb)
- **Level 3 (Hard)/**
- [Py02-arrays.ipynb](Coding/Level 3 (Hard)/Py02-arrays.ipynb)
- [Py03-pandas.ipynb](Coding/Level 3 (Hard)/Py03-pandas.ipynb)
- [Py01-py101.ipynb](Coding/Level 3 (Hard)/Py01-py101.ipynb)
- **Data/**
- [satisfaction_survey.csv](Coding/Data/satisfaction_survey.csv)
- [Pancreas.tar.gz](Coding/Data/Pancreas.tar.gz)
- [medication_side_effects.csv](Coding/Data/medication_side_effects.csv)
- [clinical_tests.csv](Coding/Data/clinical_tests.csv)
- [patients.csv](Coding/Data/patients.csv)
- [clinical_trial.csv](Coding/Data/clinical_trial.csv)
- [Pancreas.zip](Coding/Data/Pancreas.zip)
- [high_risk_patients.csv](Coding/Data/high_risk_patients.csv)
- [bed_occupancy.csv](Coding/Data/bed_occupancy.csv)
- [readmissions.csv](Coding/Data/readmissions.csv)
- [icu_data.csv](Coding/Data/icu_data.csv)
- [createData.ipynb](Coding/Data/createData.ipynb)
- **images/**
- [mri_corrected_loops.jpg](Coding/Data/images/mri_corrected_loops.jpg)
- [dark_mri.jpg](Coding/Data/images/dark_mri.jpg)
- [mri_corrected_vectorized.jpg](Coding/Data/images/mri_corrected_vectorized.jpg)
- [mri.jpg](Coding/Data/images/mri.jpg)
- **Assignments/**
- [readme.md](Assignments/readme.md)
- [image.png](Assignments/image.png)
- [Py03-Assignments.ipynb](Assignments/Py03-Assignments.ipynb)
- [Py01-Assignments.md](Assignments/Py01-Assignments.md)
- [Py03-Assignments.pdf](Assignments/Py03-Assignments.pdf)
- [Py04-Assignments.pdf](Assignments/Py04-Assignments.pdf)
- [Py04-Assignments.ipynb](Assignments/Py04-Assignments.ipynb)
- [Py01-Assignments.pdf](Assignments/Py01-Assignments.pdf)
- [Py02-Assignments.md](Assignments/Py02-Assignments.md)
- [Py04-Assignments.md](Assignments/Py04-Assignments.md)
- [Py02-Assignments.ipynb](Assignments/Py02-Assignments.ipynb)
- [Py02-Assignments.pdf](Assignments/Py02-Assignments.pdf)
- [Py03-Assignments.md](Assignments/Py03-Assignments.md)
- **StudAssignments/**
- **Py01/**
- [Agata_Assignment_1.ipynb](Assignments/StudAssignments/Py01/Agata_Assignment_1.ipynb)
- [Day_1_Assignment_RamonWinkler.ipynb](Assignments/StudAssignments/Py01/Day_1_Assignment_RamonWinkler.ipynb)
- [Py01_Assignement_Laia_Movilla.ipynb](Assignments/StudAssignments/Py01/Py01_Assignement_Laia_Movilla.ipynb)
- [Anastasiia.ipynb](Assignments/StudAssignments/Py01/Anastasiia.ipynb)
- [Day1_Assignments_EmmanouilDamilakis.ipynb](Assignments/StudAssignments/Py01/Day1_Assignments_EmmanouilDamilakis.ipynb)
- [Assignment1 mediumhard.ipynb](Assignments/StudAssignments/Py01/Assignment1 mediumhard.ipynb)
- [Assignment1_Robinson.ipynb](Assignments/StudAssignments/Py01/Assignment1_Robinson.ipynb)
- [Assignments_Py01_Carl_Chrobak.ipynb](Assignments/StudAssignments/Py01/Assignments_Py01_Carl_Chrobak.ipynb)
- [Isele.ipynb](Assignments/StudAssignments/Py01/Isele.ipynb)
- [Abgabe_Assessment1.ipynb](Assignments/StudAssignments/Py01/Abgabe_Assessment1.ipynb)
- [OliverLorenzCristea_Assignm1_easy.ipynb](Assignments/StudAssignments/Py01/OliverLorenzCristea_Assignm1_easy.ipynb)
- [Precourse_Day1_assignment2-Nr3.ipynb](Assignments/StudAssignments/Py01/Precourse_Day1_assignment2-Nr3.ipynb)
- [Assignment Day 1_ Justin Jouwena.ipynb](Assignments/StudAssignments/Py01/Assignment Day 1_ Justin Jouwena.ipynb)
- **Data/**
- [fictitious_hospital_data.csv](Assignments/Data/fictitious_hospital_data.csv)
- [heart_rate_data.csv](Assignments/Data/heart_rate_data.csv)
- [mri_image.png](Assignments/Data/mri_image.png)
- [fictitious_visits.csv](Assignments/Data/fictitious_visits.csv)
- [fictitious_patients.csv](Assignments/Data/fictitious_patients.csv)
- [createData.ipynb](Assignments/Data/createData.ipynb)

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