{"product_id":"personal-finance-with-python-using-pandas-requests-and-recurrent-paperback","title":"Personal Finance with Python: Using Pandas, Requests, and Recurrent - Paperback","description":"\u003cp\u003eby \u003cb\u003eMax Humber\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eDeal 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. \u003cbr\u003eIn \u003ci\u003ePersonal Finance with Python\u003c\/i\u003e 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.\u003cbr\u003eAlthough 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.\u003cbr\u003e\u003cb\u003eWhat You'll Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWork with data in pandas\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCalculate Net Present Value and Internal Rate Return\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eQuery a third-party API with Requests\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eManage secrets\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBuild efficient loops\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eParse English sentences with Recurrent\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with the YAML file format\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFetch stock quotes and use Prophet to forecast the future\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eAnyone 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. \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eDeal 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. \u003cbr\u003eIn \u003ci\u003ePersonal Finance with Python\u003c\/i\u003e 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.\u003cbr\u003eAlthough 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.\u003cbr\u003eYou will: \u003cbr\u003e- 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\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eMax Humber is a Data Engineer interested in improving finance with technology. He works for Wealthsimple, and previously served as the first data scientist for the online lending platform Borrowell. He has spoken at Pycon, ODSC, PyData, useR, and BigDataX in Colombia, London, Berlin, Brussels, and Toronto.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 117\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.29 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 21, 2018\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42717147004991,"sku":"9781484238011","price":71.26,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/e606b5bd5e52fc5bf0882cffb133f0a9.webp?v=1765077465","url":"https:\/\/dhlswag.com\/products\/personal-finance-with-python-using-pandas-requests-and-recurrent-paperback","provider":"BBB","version":"1.0","type":"link"}