Personal Finance with Python: Using pandas, Requests, and Recurrent


Personal Finance with Python: Using pandas, Requests, and Recurrent

  • Author:Max Humber
  • Length: 133 pages
  • Edition: 1
  • Publisher: Apress
  • Publication Date: 2018-07-21
  • ISBN-10: 148423801X
  • ISBN-13: 9781484238011
  • Sales Rank: #807189 (See Top 100 Books)
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  • Buy Print:Buy from amazon

    Book Description

    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 forecast the future

    Who This Book Is For

    Anyone interested in Python, personal finance, and/or both! This book is geared towards those who want to manage their money more effectively and to those who just want to learn or improve their Python.






    What You’ll Learn

    • 处理熊猫中的数据
    • 计算净现值和内部收益率
    • 带请求查询第三方API
    • 管理秘密
    • 构建高效环路
    • 用递归句法分析英语句子
    • 使用YAML文件格式
    • 获取股票报价并使用Prophet预测未来



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