{"product_id":"thinking-in-pandas-how-to-use-the-python-data-analysis-library-the-right-way-paperback","title":"Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way - Paperback","description":"\u003cp\u003eby \u003cb\u003eHannah Stepanek\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUnderstand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eThinking in Pandas\u003c\/i\u003e introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered.\u003c\/p\u003e\u003cp\u003eBy the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas--the right way.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the underlying data structure of pandas and why it performs the way it does under certain circumstances\u003c\/li\u003e\n\u003cli\u003eDiscover how to use pandas to extract, transform, and load data correctly with an emphasis on performance\u003c\/li\u003e\n\u003cli\u003eChoose the right DataFrame so that the data analysis is simple and efficient.\u003c\/li\u003e\n\u003cli\u003eImprove performance of pandas operations with other Python libraries\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003eSoftware engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUnderstand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eThinking in Pandas\u003c\/i\u003e introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered.\u003c\/p\u003e\u003cp\u003eBy the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas--the right way.\u003c\/p\u003e\u003cp\u003eYou will: \u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the underlying data structure of pandas and why it performs the way it does under certain circumstances\u003c\/li\u003e\n\u003cli\u003eDiscover how to use pandas to extract, transform, and load data correctly with an emphasis on performance\u003c\/li\u003e\n\u003cli\u003eChoose the right DataFrame so that the data analysis is simple and efficient.\u003c\/li\u003e\n\u003cli\u003eImprove performance of pandas operations with other Python libraries\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eHannah Stepanek is a software developer with a passion for performance and is an open source advocate. She has over seven years of industry experience programming in Python and spent about two of those years implementing a data analysis project using pandas.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003eHannah was born and raised in Corvallis, OR, and graduated from Oregon State University with a major in Electrical Computer Engineering. She enjoys engaging with the software community, often giving talks at local meetups as well as larger conferences. In early 2019, she spoke at PyCon US about the pandas library and at OpenCon Cascadia about the benefits of open source software. In her spare time she enjoys riding her horse Sophie and playing board games.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 186\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.46 x 9.21 x 6.14 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 06, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51759944499488,"sku":"9781484258385","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/abcd7a03aa9898d58e47e53d6ebb9eaf.webp?v=1780166687","url":"https:\/\/ebocreations.com\/products\/thinking-in-pandas-how-to-use-the-python-data-analysis-library-the-right-way-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}