{"product_id":"python-for-finance-cookbook-second-edition-over-80-powerful-recipes-for-effective-financial-data-analysis-paperback","title":"Python for Finance Cookbook - Second Edition: Over 80 powerful recipes for effective financial data analysis - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEryk Lewinson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUse modern Python libraries such as pandas, NumPy, and scikit-learn and popular machine learning and deep learning methods to solve financial modeling problems\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free eBook in the PDF format\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore unique recipes for financial data processing and analysis with Python\u003c\/li\u003e\n\u003cli\u003eApply classical and machine learning approaches to financial time series analysis\u003c\/li\u003e\n\u003cli\u003eCalculate various technical analysis indicators and backtest trading strategies\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003ePython is one of the most popular programming languages in the financial industry, with a huge collection of accompanying libraries. In this new edition of the Python for Finance Cookbook, you'll explore classical quantitative finance approaches to data modeling, such as GARCH, CAPM, factor models, and modern machine learning and deep learning solutions.\u003c\/p\u003e\u003cp\u003eYou will use popular Python libraries that, in a few lines of code, provide the means to quickly process, analyze, and draw conclusions from financial data. In this new edition, more emphasis was put on exploratory data analysis to help you visualize and better understand financial data. While doing so, you'll also learn how to use Streamlit to create an elegant, interactive web applications to present the results of technical analyses. Finally, you'll become familiar with modern machine learning and deep learning models which you can use for tasks such as credit default prediction, time series forecasting, and more.\u003c\/p\u003e\u003cp\u003eUsing the recipes in this book, you will become proficient in financial data analysis, be it for personal or professional projects. You will also understand which potential issues to expect with such analyses and, more importantly, how to overcome them.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePreprocess, analyze, and visualize financial data\u003c\/li\u003e\n\u003cli\u003eExplore time series modeling with statistical (exponential smoothing, ARIMA) and machine learning models\u003c\/li\u003e\n\u003cli\u003eUncover advanced time series forecasting algorithms such as Meta's Prophet\u003c\/li\u003e\n\u003cli\u003eUse Monte Carlo simulations for derivatives valuation and risk assessment\u003c\/li\u003e\n\u003cli\u003eExplore volatility modeling using univariate and multivariate GARCH models\u003c\/li\u003e\n\u003cli\u003eInvestigate various approaches to asset allocation\u003c\/li\u003e\n\u003cli\u003eLearn how to approach ML-projects on with an example of default prediction\u003c\/li\u003e\n\u003cli\u003eExplore modern deep learning models such as Google's TabNet, Amazon's DeepAR and NeuralProphet\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is intended for financial analysts, data analysts and scientists, and Python developers with a familiarity with financial concepts. You'll learn how to correctly use advanced approaches for analysis, avoid potential pitfalls and common mistakes, and reach correct conclusions for a broad range of finance problems.\u003c\/p\u003e\u003cp\u003eWorking knowledge of the Python programming language (particularly libraries such as pandas and NumPy) is necessary.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 740\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.48 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 30, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47202261401849,"sku":"9781803243191","price":71.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/WkVCbXJpeXVjcWdpdEZBQ0JjZGpPZz09.webp?v=1767991581","url":"https:\/\/bookscloud.io\/products\/python-for-finance-cookbook-second-edition-over-80-powerful-recipes-for-effective-financial-data-analysis-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}