{"product_id":"9781785283857","title":"Python Data Analysis Cookbook","description":"\u003cp\u003e\u003cb\u003eOver 140 practical recipes to help you make sense of your data with ease and build production-ready data apps\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout This Book\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eAnalyze Big Data sets, create attractive visualizations, and manipulate and process various data types\u003c\/li\u003e\n\u003cli\u003ePacked with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning\u003c\/li\u003e\n\u003cli\u003eAuthored by Ivan Idris, expert in python programming and proud author of eight highly reviewed books\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cp\u003eThis book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSet up reproducible data analysis\u003c\/li\u003e\n\u003cli\u003eClean and transform data\u003c\/li\u003e\n\u003cli\u003eApply advanced statistical analysis\u003c\/li\u003e\n\u003cli\u003eCreate attractive data visualizations\u003c\/li\u003e\n\u003cli\u003eWeb scrape and work with databases, Hadoop, and Spark\u003c\/li\u003e\n\u003cli\u003eAnalyze images and time series data\u003c\/li\u003e\n\u003cli\u003eMine text and analyze social networks\u003c\/li\u003e\n\u003cli\u003eUse machine learning and evaluate the results\u003c\/li\u003e\n\u003cli\u003eTake advantage of parallelism and concurrency\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eIn Detail\u003c\/b\u003e\u003cp\u003eData analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003ePython Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBy the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eStyle and Approach\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThe book is written in “cookbook” style striving for high realism in data analysis. Through the recipe-based format, you can read each recipe separately as required and immediately apply the knowledge gained.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":47135578226928,"sku":"9781785283857","price":32.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781785283857_p0.jpg?v=1763729405","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781785283857","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}