Description Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life.
He has spoken at Pycon, ODSC, PyData, useR, and BigDataX in Colombia, London, Berlin, Brussels, and Toronto..
He works for Wealthsimple, and previously served as the first data scientist for the online lending platform Borrowell.
About the Author Max Humber is a Data Engineer interested in improving Finance with technology.
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 Who This Book Is For 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.
You\'ll need Python 3.6 (or above) and all of the setup details are included.
Everything is built up piece-by-piece and the first chapters are conducted at a relaxed pace.
Although this book assumes a minimal familiarity with programming and the Python language, if you don\'t have any, don\'t worry.
Each chapter is hands-on, self-contained, and motivated by fun and interesting examples.
Many of the examples use pandas, the main data manipulation tool in Python.
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.
This book is about Python and Personal Finance and how you can effectively mix the two together.
Description Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life
