Personal Finance with Python
Details
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.Contains a compact primer on personal finance planning and management using Python Organized around financial concepts including profit, budgeting, investing, amortization, and more Inspired by the author's conference presentations on the same topic
Autorentext
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.Inhalt
- Setup.- 2. Profit.- 3. Convert.- 4. Amortize.- 5. Budget.- 6. Invest.- 7. Spend.- Next.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781484238011
- Genre Programmiersprachen
- Auflage First Edition
- Sprache Englisch
- Lesemotiv Verstehen
- Anzahl Seiten 117
- Herausgeber APRESS L.P.
- Größe H233mm x B154mm x T10mm
- Jahr 2018
- EAN 9781484238011
- Format Kartonierter Einband
- ISBN 978-1-4842-3801-1
- Veröffentlichung 21.07.2018
- Titel Personal Finance with Python
- Autor Max Humber
- Untertitel Using Pandas, Requests, and Recurrent
- Gewicht 232g