Personal Finance with Python: Using pandas, Requests, and Recurrent - Image 1

£32.35

Apress Personal Finance with Python: Using pandas, Requests, and Recurrent

Name: Personal Finance with Python: Using pandas, Requests, and Recurrent
Brand: Apress
Price: 32.35 GBP
Availability: InStock

Professional Finance

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£32 today · usual range £30–£37 · best ever £30

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Description

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.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 148423801X
Category: Books > Subjects > Business, Finance & Law > Professional Finance
Domain: Amazon UK
Release Date: 21 July 2018
Listed Since: 22 May 2018

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Apress Personal Finance with Python: Using pandas, Requests, and Recurrent

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