Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together.
In Personal Finance with Python you will learn Python and finance at the same time by creating a profit calculator, a currency converter, an amortization schedule, a budget, a portfolio rebalancer, and a purchase forecaster. Many of the examples use pandas, the main data manipulation tool in Python. Each chapter is hands-on, self-contained, and motivated by fun and interesting examples.
Although this book assumes a minimal familiarity with programming and the Python language, if you don't have any, don't worry. Everything is built up piece-by-piece and the first chapters are conducted at a relaxed pace. You'll need Python 3.6 (or above) and all of the setup details are included.
You will:
Work with data in pandas
Calculate Net Present Value and Internal Rate Return
Query a third-party API with Requests
Manage secrets
Build efficient loops
Parse English sentences with Recurrent
Work with the YAML file format
Fetch stock quotes and use Prophet to forecast the future
Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together.
In Personal Finance with Python you will learn Python and finance at the same time by creating a profit calculator, a currency converter, an amortization schedule, a budget, a portfolio rebalancer, and a purchase forecaster. Many of the examples use pandas, the main data manipulation tool in Python. Each chapter is hands-on, self-contained, and motivated by fun and interesting examples.
Although this book assumes a minimal familiarity with programming and the Python language, if you don't have any, don't worry. Everything is built up piece-by-piece and the first chapters are conducted at a relaxed pace. You'll need Python 3.6 (or above) and all of the setup details are included.
You will:
Work with data in pandas
Calculate Net Present Value and Internal Rate Return
Query a third-party API with Requests
Manage secrets
Build efficient loops
Parse English sentences with Recurrent
Work with the YAML file format
Fetch stock quotes and use Prophet to forecast the future
Über den Autor
Max Humber is a Data Engineer interested in improving finance with technology. He works for Wealthsimple, and previously served as the first data scientist for the online lending platform Borrowell. He has spoken at Pycon, ODSC, PyData, useR, and BigDataX in Colombia, London, Berlin, Brussels, and Toronto.
Zusammenfassung
Contains a compact primer on personal finance planning and management using Python
Organized around financial concepts including profit, budgeting, investing, amortization, and more
Inspired by the author's conference presentations on the same topic
Inhaltsverzeichnis
1. Setup.- 2. Profit.- 3. Convert.- 4. Amortize.- 5. Budget.- 6. Invest.- 7. Spend.- Next.
