{"product_id":"9781617297434","title":"Pandas in Action","description":"\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eAuthor\/Contributor(s):\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaskhaver, Boris\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003ePublisher:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eManning\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eDate:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10\/5\/2021\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eBinding:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003ePaperback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"\"\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"\"\u003eNEW\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cb\u003eTake the next steps in your data science career! This friendly and hands-on guide shows you how to start mastering Pandas with skills you already know from spreadsheet software.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eIn \u003ci\u003ePandas in Action\u003c\/i\u003e you will learn how to:\u003cbr\u003e\u003cbr\u003eImport datasets, identify issues with their data structures, and optimize them for efficiency\u003cbr\u003eSort, filter, pivot, and draw conclusions from a dataset and its subsets\u003cbr\u003eIdentify trends from text-based and time-based data\u003cbr\u003eOrganize, group, merge, and join separate datasets\u003cbr\u003eUse a GroupBy object to store multiple DataFrames\u003cbr\u003e\u003cbr\u003ePandas has rapidly become one of Python's most popular data analysis libraries. In \u003ci\u003ePandas in Action\u003c\/i\u003e, a friendly and example-rich introduction, author Boris Paskhaver shows you how to master this versatile tool and take the next steps in your data science career. You’ll learn how easy Pandas makes it to efficiently sort, analyze, filter and munge almost any type of data.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the technology\u003c\/b\u003e\u003cbr\u003eData analysis with Python doesn’t have to be hard. If you can use a spreadsheet, you can learn pandas! While its grid-style layouts may remind you of Excel, pandas is far more flexible and powerful. This Python library quickly performs operations on millions of rows, and it interfaces easily with other tools in the Python data ecosystem. It’s a perfect way to up your data game.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the book\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePandas in Action\u003c\/i\u003e introduces Python-based data analysis using the amazing pandas library. You’ll learn to automate repetitive operations and gain deeper insights into your data that would be impractical—or impossible—in Excel. Each chapter is a self-contained tutorial. Realistic downloadable datasets help you learn from the kind of messy data you’ll find in the real world.\u003cbr\u003e\u003cbr\u003eWhat's inside\u003cbr\u003e\u003cbr\u003eOrganize, group, merge, split, and join datasets\u003cbr\u003eFind trends in text-based and time-based data\u003cbr\u003eSort, filter, pivot, optimize, and draw conclusions\u003cbr\u003eApply aggregate operations\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e\u003cbr\u003eFor readers experienced with spreadsheets and basic Python programming.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eBoris Paskhaver\u003c\/b\u003e is a software engineer, Agile consultant, and online educator. His programming courses have been taken by 300,000 students across 190 countries.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART 1 CORE PANDAS\u003cbr\u003e1 Introducing pandas\u003cbr\u003e2 The Series object\u003cbr\u003e3 Series methods\u003cbr\u003e4 The DataFrame object\u003cbr\u003e5 Filtering a DataFrame\u003cbr\u003ePART 2 APPLIED PANDAS\u003cbr\u003e6 Working with text data\u003cbr\u003e7 MultiIndex DataFrames\u003cbr\u003e8 Reshaping and pivoting\u003cbr\u003e9 The GroupBy object\u003cbr\u003e10 Merging, joining, and concatenating\u003cbr\u003e11 Working with dates and times\u003cbr\u003e12 Imports and exports\u003cbr\u003e13 Configuring pandas\u003cbr\u003e14 Visualization","brand":"Manning","offers":[{"title":"Default Title","offer_id":48176692429055,"sku":"9781617297434","price":59.99,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0452\/0886\/2873\/files\/Jacket_f8d4095f-a35c-4de2-ac9e-858e61871c72.jpg?v=1771351510","url":"https:\/\/massivebookshop.com\/de\/products\/9781617297434","provider":"MASSIVE BOOKSHOP","version":"1.0","type":"link"}