{"product_id":"thinking-in-pandas-how-to-use-the-python-data-analysis-library-the-right-way-von-hannah-stepanek","title":"Thinking in Pandas","description":"\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \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\n                                \n                \u003cp\u003e\n                                        \n                    \u003ci\u003eThinking in Pandas\u003c\/i\u003e\n                                         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.\n                \n                \u003c\/p\u003e\n                                \n                \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\n                                \n                \u003cp\u003e\n                                        \n                    \u003cbr\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \u003cp\u003e\n                                        \n                    \u003cb\u003eWhat You Will Learn\u003c\/b\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cul\u003e\n                                        \n                    \u003cli\u003eUnderstand the underlying data structure of pandas and why it performs the way it does under certain circumstances\u003c\/li\u003e\n                                        \n                    \u003cli\u003eDiscover how to use pandas to extract, transform, and load data correctly with an emphasis on performance\u003c\/li\u003e\n                                        \n                    \u003cli\u003eChoose the right DataFrame so that the data analysis is simple and efficient.\u003c\/li\u003e\n                                        \n                    \u003cli\u003eImprove performance of pandas operations with other Python libraries\u003c\/li\u003e\n                                    \n                \u003c\/ul\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cp\u003e \u003c\/p\u003e\n                                \n                \u003cp\u003e\u003c\/p\u003e\n                                \n                \u003cb\u003e\n                                        \n                    \u003cbr\u003e\n                                    \n                \u003c\/b\u003e\n                                \n                \u003cb\u003eWho This Book Is For\u003c\/b\u003e\n                                Software engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.\n            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781484258385\"\u003e\u003ch3\u003eHow to Use the Python Data Analysis Library the Right Way\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9781484258385","offer_id":39417469272157,"sku":"9781484258385","price":48.14,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/7aeaa45e-eac6-455e-abb6-95ea288dade3.jpg?v=1775880449","url":"https:\/\/shop.autorenwelt.de\/products\/thinking-in-pandas-how-to-use-the-python-data-analysis-library-the-right-way-von-hannah-stepanek","provider":"Autorenwelt Shop","version":"1.0","type":"link"}