
Personal Finance with Python: Using pandas, Requests, and Recurrent
Max Humber
Résumé
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.
What You'll Learn
- 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
Anyone interested in Python, personal finance, and/or both! This book is geared towards those who want to manage their money more effectively and to those who just want to learn or improve their Python.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Apress |
Auteur(s) | Max Humber |
Parution | 20/07/2018 |
Nb. de pages | 117 |
EAN13 | 9781484238011 |
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