{"product_id":"pandas-1-x-cookbook-second-edition-practical-recipes-for-scientific-computing-time-series-analysis-and-exploratory-data-analysis-using-python-paperback","title":"Pandas 1.x Cookbook - Second Edition: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Paperback","description":"\u003cp\u003eby \u003cb\u003eMatt Harrison\u003c\/b\u003e (Author), \u003cb\u003eTheodore Petrou\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUse the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x.\u003c\/strong\u003e\u003c\/p\u003eKey Features\u003cul\u003e\n\u003cli\u003eThis is the first book on pandas 1.x\u003c\/li\u003e\n\u003cli\u003ePractical, easy to implement recipes for quick solutions to common problems in data using pandas\u003c\/li\u003e\n\u003cli\u003eMaster the fundamentals of pandas to quickly begin exploring any dataset\u003c\/li\u003e\n\u003c\/ul\u003eBook Description\u003cp\u003eThe pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.\u003c\/p\u003e\u003cp\u003eThis new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.\u003c\/p\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003eMaster data exploration in pandas through dozens of practice problems\u003c\/li\u003e\n\u003cli\u003eGroup, aggregate, transform, reshape, and filter data\u003c\/li\u003e\n\u003cli\u003eMerge data from different sources through pandas SQL-like operations\u003c\/li\u003e\n\u003cli\u003eCreate visualizations via pandas hooks to matplotlib and seaborn\u003c\/li\u003e\n\u003cli\u003eUse pandas, time series functionality to perform powerful analyses\u003c\/li\u003e\n\u003cli\u003eImport, clean, and prepare real-world datasets for machine learning\u003c\/li\u003e\n\u003cli\u003eCreate workflows for processing big data that doesn't fit in memory\u003c\/li\u003e\n\u003c\/ul\u003eWho this book is for\u003cp\u003eThis book is for Python developers, data scientists, engineers, and analysts. Pandas is the ideal tool for manipulating structured data with Python and this book provides ample instruction and examples. Not only does it cover the basics required to be proficient, but it goes into the details of idiomatic pandas.\u003c\/p\u003eTable of Contents\u003col\u003e\n\u003cli\u003ePandas Foundations\u003c\/li\u003e\n\u003cli\u003eEssential DataFrame Operations\u003c\/li\u003e\n\u003cli\u003eCreating and Persisting DataFrames\u003c\/li\u003e\n\u003cli\u003eBeginning Data Analysis\u003c\/li\u003e\n\u003cli\u003eExploratory Data Analysis\u003c\/li\u003e\n\u003cli\u003eSelecting Subsets of Data\u003c\/li\u003e\n\u003cli\u003eFiltering Rows\u003c\/li\u003e\n\u003cli\u003eIndex Alignment\u003c\/li\u003e\n\u003cli\u003eGrouping for Aggregation, Filtration and Transformation\u003c\/li\u003e\n\u003cli\u003eRestructuring Data into a Tidy Form\u003c\/li\u003e\n\u003cli\u003eCombining Pandas Objects\u003c\/li\u003e\n\u003cli\u003eTime Series Analysis\u003c\/li\u003e\n\u003cli\u003eVisualization with Matplotlib, Pandas, and Seaborn\u003c\/li\u003e\n\u003cli\u003eDebugging and Testing Pandas\u003c\/li\u003e\n\u003c\/ol\u003e\n        \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 626\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.26 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 28, 2020\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42710047064127,"sku":"9781839213106","price":138.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/589fc0971b7201e55140b6678e00a7a5.webp?v=1765053624","url":"https:\/\/dhlswag.com\/products\/pandas-1-x-cookbook-second-edition-practical-recipes-for-scientific-computing-time-series-analysis-and-exploratory-data-analysis-using-python-paperback","provider":"BBB","version":"1.0","type":"link"}