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http://localhost/handle/Hannan/1476
عنوان: | Personal Finance with Python |
عنوان دیگر: | Using pandas, Requests, and Recurrent / |
پدیدآورنده: | Humber, Max. ; |
کلید واژه ها: | Computer Science;Programming Languages and Electronic Computers;Computer Science;Python. ;;Personal Finance/Wealth Management/Pension Planning. ;;Programming Languages and Compilers and Interpreters |
تاریخ انتشار: | 2018 |
محل نشر: | Berkeley, CA : |
ناشر: | Apress : Imprint: Apress, |
چکیده: | 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: 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. ; |
توضیحات : | QA76 SpringerLink (Online service) ; Printed edition: ; 9781484238011. ; |
آدرس: | http://localhost/handle/Hannan/1476 |
شابک : | 9781484238028 ; 9781484238011 (print) ; |
اطلاعات بیشتر: | XVI, 117 p. 36 illus. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9781484238011.pdf | 3.94 MB | Adobe PDF | مشاهده فایل |
عنوان: | Personal Finance with Python |
عنوان دیگر: | Using pandas, Requests, and Recurrent / |
پدیدآورنده: | Humber, Max. ; |
کلید واژه ها: | Computer Science;Programming Languages and Electronic Computers;Computer Science;Python. ;;Personal Finance/Wealth Management/Pension Planning. ;;Programming Languages and Compilers and Interpreters |
تاریخ انتشار: | 2018 |
محل نشر: | Berkeley, CA : |
ناشر: | Apress : Imprint: Apress, |
چکیده: | 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: 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. ; |
توضیحات : | QA76 SpringerLink (Online service) ; Printed edition: ; 9781484238011. ; |
آدرس: | http://localhost/handle/Hannan/1476 |
شابک : | 9781484238028 ; 9781484238011 (print) ; |
اطلاعات بیشتر: | XVI, 117 p. 36 illus. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9781484238011.pdf | 3.94 MB | Adobe PDF | مشاهده فایل |
عنوان: | Personal Finance with Python |
عنوان دیگر: | Using pandas, Requests, and Recurrent / |
پدیدآورنده: | Humber, Max. ; |
کلید واژه ها: | Computer Science;Programming Languages and Electronic Computers;Computer Science;Python. ;;Personal Finance/Wealth Management/Pension Planning. ;;Programming Languages and Compilers and Interpreters |
تاریخ انتشار: | 2018 |
محل نشر: | Berkeley, CA : |
ناشر: | Apress : Imprint: Apress, |
چکیده: | 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: 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. ; |
توضیحات : | QA76 SpringerLink (Online service) ; Printed edition: ; 9781484238011. ; |
آدرس: | http://localhost/handle/Hannan/1476 |
شابک : | 9781484238028 ; 9781484238011 (print) ; |
اطلاعات بیشتر: | XVI, 117 p. 36 illus. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9781484238011.pdf | 3.94 MB | Adobe PDF | مشاهده فایل |