# Personalized Notebooks

This section contains all the personally edited/enhanced notebooks by me.

Originally forked notebooks are present here as [notebooks](https://github.com/S33mi/jpmc-python-training-notes/tree/main/notebooks).

The repo has these main notebooks

- 0_best_practices.ipynb → Python style & tips for finance pros

- 1_basic.ipynb → Core intro (variables, lists, loops, functions)

- 2_straddle.ipynb → Options pricing example (straddle payoff)

- 3_flights.ipynb → Pandas data cleaning & analysis (flight delays dataset)

- 4_webapi.ipynb → Fetching data from APIs

- 5_website.ipynb → Basic web scraping

- 6_financial_data.ipynb → Pulling real stock/FX data (uses pandas_datareader, yfinance, etc.) (orignal repo does not contain any examples for 6_financial_data.ipynb)

- 7_advanced_plotting.ipynb → Fancy Matplotlib/Seaborn charts

- 8_altman_z_double_prime.ipynb → Altman Z-score for bankruptcy prediction

- 9_3d_plotting.ipynb → 3D visualizations

For financial data more practice check this repository.

Credit Fraud Analytics — Analysis of credit card transaction data for fraud detection using anomaly detection techniques → [credit-fraud-analytics](https://github.com/S33mi/credit-fraud-analytics)