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035   $a(DE-He213)978-1-4842-3802-8
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035   $a(CaSebORM)9781484238028
035   $a(PPN)229506224
035   $a(EXLCZ)994100000005323452
100   $a20180720d2018      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPersonal Finance with Python$b[electronic resource] $eUsing pandas, Requests, and Recurrent /$fby Max Humber
205   $a1st ed. 2018.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018.
215   $a1 online resource (XVI, 117 p. 36 illus.) 
311   $a1-4842-3801-X 
327   $a1. Setup -- 2. Profit -- 3. Convert -- 4. Amortize -- 5. Budget -- 6. Invest -- 7. Spend -- Next.
330   $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.
606   $aPython (Computer program language)
606   $aPersonal finance
606   $aPension plans
606   $aProgramming languages (Electronic computers)
606   $aPython$3https://scigraph.springernature.com/ontologies/product-market-codes/I29080
606   $aPersonal Finance/Wealth Management/Pension Planning$3https://scigraph.springernature.com/ontologies/product-market-codes/622000
606   $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037
615  0$aPython (Computer program language).
615  0$aPersonal finance.
615  0$aPension plans.
615  0$aProgramming languages (Electronic computers).
615 14$aPython.
615 24$aPersonal Finance/Wealth Management/Pension Planning.
615 24$aProgramming Languages, Compilers, Interpreters.
676   $a332.024002855369
700   $aHumber$b Max$4aut$4http://id.loc.gov/vocabulary/relators/aut$01061659
906   $aBOOK
912   $a9910300364303321
996   $aPersonal Finance with Python$92519496
997   $aUNINA