02974nam a22004575i 4500 ssj0002038470 WaSeSS 20220427151740.0 m d cr n 180720s2018 xxu| o |||| 0|eng d 9781484238011 10.1007/978-1-4842-3802-8 doi WaSeSS AIMIT LIBRARY 2 332.024 HUMM EBOOK Humber, Max 32403 Personal Finance with Python : Using pandas, Requests, and Recurrent / by Max Humber. 2nd ed. South Asian Edition. Berkeley, CA : Apress : Imprint: Apress, 2020. xvi, 117 p. 23.5 cm. text file PDF rda 1. Setup -- 2. Profit -- 3. Convert -- 4. Amortize -- 5. Budget -- 6. Invest -- 7. Spend -- Next. Requires an SPL library card. 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. Mode of access: World Wide Web. Computer science 32404 Programming languages 32405 Amortize 32406 Budget 32407 Electronic books. local 32408 SpringerLink (Online service) 32409 O'Reilly (Firm) 32410 Serials Solutions 32411 Springer eBooks Printed edition: 9781484238011 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484238028/?ar An e-book available through full-text database. ddc BK 2nd 332.024 HUMM 222677 222677 03657996 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 399.00 Bill no:6623; Bill dt:2022-03-23 0 332.024 HUMM MCA17064 2026-05-23 00:00:00 319.20 2022-04-27 BK