{"product_id":"python-for-data-analysis-3rd-edition-wes-mckinney-pandas","title":"Python for Data Analysis: Data Wrangling Wes McKinney 3rd Ed Paperback |9781098104030|","description":"\u003cp data-path-to-node=\"7\"\u003e\u003cb data-path-to-node=\"7\" data-index-in-node=\"0\"\u003ePython for Data Analysis\u003c\/b\u003e is the modern classic that taught a generation of data scientists how to manipulate, process, and clean data in Python. In this 3rd Edition, Wes McKinney—the creator of the Python pandas project—brings this essential guide up to date for Python 3.10 and the latest versions of pandas. This O'Reilly publication is the practical, hands-on roadmap for anyone looking to solve real-world data problems effectively.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"8\"\u003eAbout the Book\u003c\/h3\u003e\n\u003cp data-path-to-node=\"9\"\u003eThis 3rd Edition is a thorough update that reflects the evolution of the Python data ecosystem. \u003cb data-path-to-node=\"9\" data-index-in-node=\"96\"\u003ePython for Data Analysis\u003c\/b\u003e focuses on the \"mechanics\" of data science: the data loading, cleaning, transforming, and visualizing that consumes the majority of a data scientist's time. By mastering pandas, NumPy, and Jupyter, you will learn how to turn messy, unstructured data into actionable insights. Whether you are a newcomer to Python or a seasoned analyst moving from Excel or R, this book provides the deep architectural understanding needed to write high-performance data code.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"10\"\u003eWhat You’ll Learn \/ Why Read\u003c\/h3\u003e\n\u003cp data-path-to-node=\"11\"\u003e\u003cb data-path-to-node=\"11\" data-index-in-node=\"0\"\u003ePython for Data Analysis\u003c\/b\u003e teaches you the art of data wrangling. You will learn how to use NumPy for efficient numerical computation, master the flexible DataFrame object in pandas, and use Matplotlib to create publication-quality visualizations. Furthermore, the book explores advanced time series analysis, categorical data handling, and how to use the Jupyter environment for exploratory computing. This is the primary resource for anyone looking to build a career in data science, finance, or any field where data is the primary driver of decision-making.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"12\"\u003eAuthor Bio\u003c\/h3\u003e\n\u003cp data-path-to-node=\"13\"\u003eWes McKinney is a software engineer and the creator of the pandas project, the most popular data analysis library for Python. He is a co-founder of Voltron Data and a member of the Apache Software Foundation, known globally for his contributions to the open-source data community.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"14\"\u003eProduct Details\u003c\/h3\u003e\n\u003cul data-path-to-node=\"15\"\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,0,0\"\u003e\u003cb data-path-to-node=\"15,0,0\" data-index-in-node=\"0\"\u003eAuthor:\u003c\/b\u003e Wes McKinney\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,1,0\"\u003e\u003cb data-path-to-node=\"15,1,0\" data-index-in-node=\"0\"\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,2,0\"\u003e\u003cb data-path-to-node=\"15,2,0\" data-index-in-node=\"0\"\u003eLanguage:\u003c\/b\u003e English\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,3,0\"\u003e\u003cb data-path-to-node=\"15,3,0\" data-index-in-node=\"0\"\u003eFormat:\u003c\/b\u003e Paperback\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,4,0\"\u003e\u003cb data-path-to-node=\"15,4,0\" data-index-in-node=\"0\"\u003eISBN-13:\u003c\/b\u003e 978-1098104030\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,5,0\"\u003e\u003cb data-path-to-node=\"15,5,0\" data-index-in-node=\"0\"\u003eGenre:\u003c\/b\u003e Computers \/ Data Science \/ Python\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp data-path-to-node=\"15,6,0\"\u003e\u003cb data-path-to-node=\"15,6,0\" data-index-in-node=\"0\"\u003ePages:\u003c\/b\u003e 500+ Pages\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-path-to-node=\"16\"\u003eWhy Buy from Nybookshub\u003c\/h3\u003e\n\u003cp data-path-to-node=\"17\"\u003e\u003cb data-path-to-node=\"17\" data-index-in-node=\"0\"\u003eData Professionals\u003c\/b\u003e choose Nybookshub because we provide 100% authentic editions from O'Reilly Media. In technical programming, the integrity of code snippets and the clarity of data tables are non-negotiable; we ensure you receive a verified printing with sharp, legible text. Our global shipping network ensures that Wes McKinney’s expertise reaches developers and analysts worldwide. At Nybookshub, we are committed to providing the technical literature that powers the modern data revolution.\u003c\/p\u003e\n\u003ch3 data-path-to-node=\"18\"\u003eQuestions \u0026amp; Answers\u003c\/h3\u003e\n\u003cp data-path-to-node=\"19\"\u003e\u003cb data-path-to-node=\"19\" data-index-in-node=\"0\"\u003eWhat’s new in the 3rd Edition?\u003c\/b\u003e It has been updated for Python 3.10 and the latest pandas features, with simplified explanations and new examples throughout.\u003c\/p\u003e\n\u003cp data-path-to-node=\"20\"\u003e\u003cb data-path-to-node=\"20\" data-index-in-node=\"0\"\u003eDo I need to be a Python expert?\u003c\/b\u003e A basic understanding of Python is helpful, but the book includes an introductory chapter to get you up to speed with the language basics.\u003c\/p\u003e\n\u003cp data-path-to-node=\"21\"\u003e\u003cb data-path-to-node=\"21\" data-index-in-node=\"0\"\u003eDoes Nybookshub ship this globally?\u003c\/b\u003e Absolutely! We offer fast, tracked international shipping to tech professionals and students in every country.\u003c\/p\u003e\n\u003cp data-path-to-node=\"22\"\u003e\u003cb data-path-to-node=\"22\" data-index-in-node=\"0\"\u003eIs this book about Machine Learning?\u003c\/b\u003e It focuses on the essential \"pre-processing\" and \"analysis\" steps. For ML models, this book is the perfect prerequisite for titles like \u003ci data-path-to-node=\"22\" data-index-in-node=\"173\"\u003eHands-On Machine Learning\u003c\/i\u003e.\u003c\/p\u003e\n\u003cp data-path-to-node=\"23\"\u003e\u003cb data-path-to-node=\"23\" data-index-in-node=\"0\"\u003eDoes it include code exercises?\u003c\/b\u003e Yes, the book is designed to be followed along in a Jupyter Notebook, with all data sets and code available in the official GitHub repository.\u003c\/p\u003e","brand":"NYBooksHub","offers":[{"title":"Default Title","offer_id":48225496334591,"sku":null,"price":33.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0794\/2809\/2159\/files\/python-for-data-analysis-3rd-edition-wes-mckinney-pandas.jpg?v=1774289330","url":"https:\/\/nybookshub.com\/products\/python-for-data-analysis-3rd-edition-wes-mckinney-pandas","provider":"NYBooksHub","version":"1.0","type":"link"}