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Titlebook: Personal Finance with Python; Using pandas, Reques Max Humber Book 2018 Max Humber 2018 Python.pandas.finance.personal.stock.forecasts.recu

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書目名稱Personal Finance with Python
副標題Using pandas, Reques
編輯Max Humber
視頻videohttp://file.papertrans.cn/745/744336/744336.mp4
概述Contains a compact primer on personal finance planning and management using Python.Organized around financial concepts including profit, budgeting, investing, amortization, and more.Inspired by the au
圖書封面Titlebook: Personal Finance with Python; Using pandas, Reques Max Humber Book 2018 Max Humber 2018 Python.pandas.finance.personal.stock.forecasts.recu
描述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..What You‘ll Learn.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 forecas
出版日期Book 2018
關(guān)鍵詞Python; pandas; finance; personal; stock; forecasts; recurrent; price; code; software; source; household financ
版次1
doihttps://doi.org/10.1007/978-1-4842-3802-8
isbn_softcover978-1-4842-3801-1
isbn_ebook978-1-4842-3802-8
copyrightMax Humber 2018
The information of publication is updating

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