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Personal Finance with Python

Using pandas, Requests, and Recurrent

Language EnglishEnglish
Book Paperback
Book Personal Finance with Python Max Humber
Libristo code: 19547697
Publishers APress, July 2018
Deal with data, build up financial formulas in code from scratch, and evaluate and think about money... Full description
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La Dama y el vagabundo DISNEY / Book Board book
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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. 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.

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About the book

Full name Personal Finance with Python
Author Max Humber
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 117
EAN 9781484238011
ISBN 148423801X
Libristo code 19547697
Publishers APress
Weight 222
Dimensions 234 x 156 x 25
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