fcaisemone

Print the complete Python source for any of nine FCAI semester-one practicals in a Jupyter cell's output or a terminal. Printing does not execute the code. No CSV datasets are included. The code is based on the supplied practical notebooks, with duplicate blocks removed and syntax corrected.

Jupyter usage

After publication:

%pip install fcaisemone

import fcaisemone as fc
fc.practical1()          # Print practical 1
fc.print_code(5)         # Print practical 5
fc.print_all()           # Print all nine practicals

practical1() through practical9() are available.

fc.list_practicals()     # Return a dictionary of practical titles
code = fc.get_code(3)    # Return source as a string
print(code)

Optional dependencies are only needed if you copy and run the printed code:

%pip install "fcaisemone[practicals]"

Practicals 1–3 retain /content paths; the other practicals use the current folder. Supply the relevant CSV datasets: Motor_Claims.csv, Titanic-Dataset.csv, BANK LOAN.csv, Employee Churn.csv, Performance Index.csv, BANK LOAN KNN.csv, K MEANS DATA.csv. Practical 2 retains the journal's CSV save path and overwrites its input file. Original-data execution was not tested because the datasets were not provided. Practical 5 reports training metrics and OOB metrics separately; its ROC does not measure performance on unseen data.

Terminal usage

python -m fcaisemone
python -m fcaisemone 1
python -m fcaisemone --all

Local installation

From the folder containing pyproject.toml:

python -m pip install .
python -m unittest discover -s tests -v

For a Jupyter kernel, run %pip install /absolute/path/to/fcaisemone in a cell.

Files

The fcaisemone/ directory contains the importable package and all nine code resources. pyproject.toml defines the project metadata and build configuration. setup.py is a compatibility shim. requirements.txt lists publishing tools. README.md, LICENSE, tests/, and PUBLISHING.md complete the source project. Generated egg-info is build metadata; it need not be created manually. The starter project uses the MIT license; review it and adjust the copyright holder and optional author metadata before publication.

See PUBLISHING.md for step-by-step publishing instructions.

Version 0.1.1 uses the code re-extracted from the original journal. See EXTRACTION_NOTES.md for corrections and retained source behaviour.