personal finance python using (6 Ergebnisse)

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Paperback. Zustand: Brand New. 133 pages. 9.25x6.25x0.50 inches. In Stock.

Zustand: New. In.

Zustand: New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Personal Finance with Python | Using Pandas, Requests, and Recurrent | Max Humber | Taschenbuch | xvi | Englisch | 2018 | Apress | EAN 9781484238011 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.