An early Jupyter notebook of Python, NumPy, pandas, and introductory data-analysis practice. It is retained as a learning artifact, not presented as a production project or reproducible analysis.
Zamin_Complete_Python_Practise.ipynb: exercises and saved exploratory outputs.
Open the notebook with JupyterLab or VS Code. It imports pandas, numpy, and scipy.
Some cells require external CSV files such as car_data.csv and ds_salaries.csv, which are not
included because their source and redistribution terms are not recorded. Place authorized copies in
the notebook directory and update the relevant paths before executing those cells. The first data
loading cell still references the original machine-specific path and is retained as historical
notebook content rather than a portable instruction.
The saved outputs are exploratory examples only; they are not claimed as current or independently reproducible results.
python -c "import nbformat; nbformat.validate(nbformat.read('Zamin_Complete_Python_Practise.ipynb', as_version=4)); print('Notebook structure is valid.')"Available under the MIT License.