{"product_id":"pandas-in-action","title":"Pandas in Action","description":"\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\u003e    Import datasets, identify issues with their data structures, and optimize them for efficiency\u003cbr\u003e     Sort, filter, pivot, and draw conclusions from a dataset and its subsets\u003cbr\u003e     Identify trends from text-based and time-based data\u003cbr\u003e     Organize, group, merge, and join separate datasets\u003cbr\u003e     Use 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\u003ePurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.\u003cbr\u003e \u003cbr\u003eAbout the technology\u003cbr\u003e Data 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\u003eAbout the book\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\u003e    Organize, group, merge, split, and join datasets\u003cbr\u003e     Find trends in text-based and time-based data\u003cbr\u003e     Sort, filter, pivot, optimize, and draw conclusions\u003cbr\u003e     Apply aggregate operations\u003cbr\u003e \u003cbr\u003eAbout the reader\u003cbr\u003e For readers experienced with spreadsheets and basic Python programming.\u003cbr\u003e \u003cbr\u003eAbout the author\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\u003eTable of Contents\u003cbr\u003e PART 1 CORE PANDAS\u003cbr\u003e 1 Introducing pandas\u003cbr\u003e 2 The Series object\u003cbr\u003e 3 Series methods\u003cbr\u003e 4 The DataFrame object\u003cbr\u003e 5 Filtering a DataFrame\u003cbr\u003e PART 2 APPLIED PANDAS\u003cbr\u003e 6 Working with text data\u003cbr\u003e 7 MultiIndex DataFrames\u003cbr\u003e 8 Reshaping and pivoting\u003cbr\u003e 9 The GroupBy object\u003cbr\u003e 10 Merging, joining, and concatenating\u003cbr\u003e 11 Working with dates and times\u003cbr\u003e 12 Imports and exports\u003cbr\u003e 13 Configuring pandas\u003cbr\u003e 14 Visualization","brand":"None","offers":[{"title":"Paperback","offer_id":46572849332434,"sku":"9781617297434","price":79.99,"currency_code":"CAD","in_stock":false},{"title":"Kobo eBook","offer_id":46572849365202,"sku":"d1aefaca-942d-3893-999c-4b4245de263c","price":65.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0655\/8980\/5233\/files\/1_9ef9f641-dfb9-49d7-8efb-b97e09d4955a.jpg?v=1762836689","url":"https:\/\/www.indigo.ca\/products\/pandas-in-action","provider":"Indigo","version":"1.0","type":"link"}