Personal Finance with Python: Using pandas, Requests, and Recurrent - Tapa blanda

Humber, Max

 
9781484238011: Personal Finance with Python: Using pandas, Requests, and Recurrent
Tapa blanda
ISBN 10: 148423801X ISBN 13: 9781484238011
Editorial: Apress, 2018

Sinopsis

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.


"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Max Humber is a Data Engineer interested in improving finance with technology. He works for Wealthsimple, and previously served as the first data scientist for the online lending platform Borrowell. He has spoken at Pycon, ODSC, PyData, useR, and BigDataX in Colombia, London, Berlin, Brussels, and Toronto.

De la contraportada

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.

You will:

•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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2018
Idioma
Inglés
ISBN 10 
148423801X
ISBN 13 
9781484238011
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
136
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Alemania

Otras ediciones populares con el mismo título

9781484246375: Personal Finance with Python: Using pandas, Requests, and Recurrent

Edición Destacada

ISBN 10:  1484246373 ISBN 13:  9781484246375
Tapa blanda