Personal Finance with Python: Using pandas, Requests, and Recurrent [NulledPremium]

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Book details
File Size: 3.84 MB
Format: pdf
Print Length: 136 pages
Publisher: Apress; 1 edition (July 20, 2018)
Publication Date: July 20, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07FPGHBLZ

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.  It is a love letter to Pandas.  Python 3.6 install with Anaconda.  Install directions included.  Familiarity with Python is helpful.

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.