Personal Finance with Python

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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

    1. Setup.- 2. Profit.- 3. Convert.- 4. Amortize.- 5. Budget.- 6. Invest.- 7. Spend.- Next.
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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

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