Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1476
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dc.contributor.authorHumber, Max. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:29:05Z-
dc.date.available2020-05-17T08:29:05Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484238028 ;en_US
dc.identifier.isbn9781484238011 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1476-
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484238011. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractDeal 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: e Work with data in pandas e Calculate Net Present Value and Internal Rate Return e Query a third-party API with Requests e Manage secrets e Build efficient loops e Parse English sentences with Recurrent e Work with the YAML file format e Fetch stock quotes and use Prophet to forecast the future. ;en_US
dc.description.statementofresponsibilityby Max Humber.en_US
dc.description.tableofcontents1. Setup -- 2. Profit -- 3. Convert -- 4. Amortize -- 5. Budget -- 6. Invest -- 7. Spend -- Next. ;en_US
dc.format.extentXVI, 117 p. 36 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484238011.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectProgramming Languages and Electronic Computersen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectPersonal Finance/Wealth Management/Pension Planning. ;en_US
dc.subjectProgramming Languages and Compilers and Interpretersen_US
dc.titlePersonal Finance with Pythonen_US
dc.title.alternativeUsing pandas, Requests, and Recurrent /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorHumber, Max. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:29:05Z-
dc.date.available2020-05-17T08:29:05Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484238028 ;en_US
dc.identifier.isbn9781484238011 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1476-
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484238011. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractDeal 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: e Work with data in pandas e Calculate Net Present Value and Internal Rate Return e Query a third-party API with Requests e Manage secrets e Build efficient loops e Parse English sentences with Recurrent e Work with the YAML file format e Fetch stock quotes and use Prophet to forecast the future. ;en_US
dc.description.statementofresponsibilityby Max Humber.en_US
dc.description.tableofcontents1. Setup -- 2. Profit -- 3. Convert -- 4. Amortize -- 5. Budget -- 6. Invest -- 7. Spend -- Next. ;en_US
dc.format.extentXVI, 117 p. 36 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484238011.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectProgramming Languages and Electronic Computersen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectPersonal Finance/Wealth Management/Pension Planning. ;en_US
dc.subjectProgramming Languages and Compilers and Interpretersen_US
dc.titlePersonal Finance with Pythonen_US
dc.title.alternativeUsing pandas, Requests, and Recurrent /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484238011.pdf3.94 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHumber, Max. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:29:05Z-
dc.date.available2020-05-17T08:29:05Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484238028 ;en_US
dc.identifier.isbn9781484238011 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1476-
dc.descriptionen_US
dc.descriptionQA76en_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9781484238011. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractDeal 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: e Work with data in pandas e Calculate Net Present Value and Internal Rate Return e Query a third-party API with Requests e Manage secrets e Build efficient loops e Parse English sentences with Recurrent e Work with the YAML file format e Fetch stock quotes and use Prophet to forecast the future. ;en_US
dc.description.statementofresponsibilityby Max Humber.en_US
dc.description.tableofcontents1. Setup -- 2. Profit -- 3. Convert -- 4. Amortize -- 5. Budget -- 6. Invest -- 7. Spend -- Next. ;en_US
dc.format.extentXVI, 117 p. 36 illus. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484238011.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectProgramming Languages and Electronic Computersen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectPersonal Finance/Wealth Management/Pension Planning. ;en_US
dc.subjectProgramming Languages and Compilers and Interpretersen_US
dc.titlePersonal Finance with Pythonen_US
dc.title.alternativeUsing pandas, Requests, and Recurrent /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484238011.pdf3.94 MBAdobe PDFThumbnail
Preview File