[NulledPremium com] Personal Finance with Python Using pandas, Requests

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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.