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Personal Finance with Python [[electronic resource] ] : Using pandas, Requests, and Recurrent / / by Max Humber



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Autore: Humber Max Visualizza persona
Titolo: Personal Finance with Python [[electronic resource] ] : Using pandas, Requests, and Recurrent / / by Max Humber Visualizza cluster
Pubblicazione: Berkeley, CA : , : Apress : , : Imprint : Apress, , 2018
Edizione: 1st ed. 2018.
Descrizione fisica: 1 online resource (XVI, 117 p. 36 illus.)
Disciplina: 332.024002855369
Soggetto topico: Python (Computer program language)
Personal finance
Pension plans
Programming languages (Electronic computers)
Python
Personal Finance/Wealth Management/Pension Planning
Programming Languages, Compilers, Interpreters
Nota di contenuto: 1. Setup -- 2. Profit -- 3. Convert -- 4. Amortize -- 5. Budget -- 6. Invest -- 7. Spend -- Next.
Sommario/riassunto: 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.
Titolo autorizzato: Personal Finance with Python  Visualizza cluster
ISBN: 1-4842-3802-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300364303321
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