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008 180720s2018 xxu| o |||| 0|eng d
020 _a9781484238011
024 7 _a10.1007/978-1-4842-3802-8
_2doi
040 _dWaSeSS
_cAIMIT LIBRARY
082 _22
_a332.024
_bHUMM
092 _aEBOOK
100 1 _aHumber, Max
_932403
245 1 0 _aPersonal Finance with Python :
_bUsing pandas, Requests, and Recurrent /
_cby Max Humber.
250 _a2nd ed.
_bSouth Asian Edition.
260 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2020.
300 _axvi, 117 p.
_c23.5 cm.
347 _atext file
_bPDF
_2rda
505 0 _a1. Setup -- 2. Profit -- 3. Convert -- 4. Amortize -- 5. Budget -- 6. Invest -- 7. Spend -- Next.
506 _aRequires an SPL library card.
520 _aDeal 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.
538 _aMode of access: World Wide Web.
650 0 _aComputer science
_932404
650 0 _aProgramming languages
_932405
650 0 _aAmortize
_932406
650 0 _aBudget
_932407
655 7 _aElectronic books.
_2local
_932408
710 2 _aSpringerLink (Online service)
_932409
710 2 _aO'Reilly (Firm)
_932410
710 2 0 _aSerials Solutions
_932411
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781484238011
856 4 0 _yView this electronic item in O'Reilly Online Learning: Academic/Public Library Edition.
_uhttps://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484238028/?ar
_zAn e-book available through full-text database.
942 _2ddc
_cBK
_e2nd
_k332.024 HUMM
999 _c222677
_d222677
999 _b03657996