Name: Personal Finance With Python: Using Pandas, Requests, and Recurrent (en Inglés)
Price: 44240.00 CLP
Availability: InStock
Author: Max Humber
ISBN: 9781484238011

portada Personal Finance With Python: Using Pandas, Requests, and Recurrent (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Max Humber

Año

2018

Idioma

Inglés

N° páginas

136

Encuadernación

Tapa Blanda

ISBN13

9781484238011

N° edición

Categorías

Finanzas

Personal Finance With Python: Using Pandas, Requests, and Recurrent (en Inglés)

Max Humber (Autor) · Apress · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Personal Finance With Python: Using Pandas, Requests, and Recurrent (en Inglés)"

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 LearnWork with data in pandasCalculate Net Present Value and Internal Rate ReturnQuery a third-party API with RequestsManage secretsBuild efficient loopsParse English sentences with RecurrentWork with the YAML file formatFetch stock quotes and use Prophet to forecast the futureWho This Book Is ForAnyone 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.