Python for data analysis: practical tools for financial analysts

1Introduction

Spreadsheets hit limits with growing data and repeatable analysis; Python offers readability and a vast ecosystem.

2Discussion

Pandas handles tabular data, NumPy fast numerics, Matplotlib/Plotly visualisation and scikit-learn machine learning.

Scripts are reproducible and auditable; Jupyter combines code, results and narrative.

3Conclusion

Automating a monthly report, such as expense analysis by category, is an ideal first project.