Introduction
Python For Finance
A Python-for-finance journey from the ground up. Python fundamentals, data analysis with Pandas, visualization, and crypto strategy backtesting, all through video and written tutorials.
Every chapter comes with both video and written content. Practical exercises follow each chapter, with correction suggestions included.
- Setup (chapter 0): Python installation, VS Code configuration, and essential extensions.
- Python fundamentals (chapters 1 to 4): Core concepts taught through finance-oriented examples.
- Financial data analysis (chapters 5 to 8): Pandas, Matplotlib, and Seaborn applied to financial data.
- Backtesting (chapters 9 and 10): Crypto strategy backtesting and performance analysis.
Introduction