Personalized Notebooks

This section contains all the personally edited/enhanced notebooks by me. Originally forked notebooks are present here as 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
• 10_final_recap.ipynb → Final capstone recap & portfolio showcase

For more financial data practice, check this repository → Credit Fraud Analytics — Analysis of credit card transaction data for fraud detection using anomaly detection techniques → credit-fraud-analytics