The world around us is full of data that holds unique insights and valuable stories, and this book will help you uncover them. Whether you already work with data or want to learn more about its possibilities, the examples and techniques in this practical book will help you more easily clean, evaluate, and analyze data so that you can generate meaningful insights and compelling visualizations.Complementing foundational concepts with expert advice, author Susan E. Mc Gregor provides the resources you need to extract, evaluate, and analyze a wide variety of data sources and formats, along with the tools to communicate your findings effectively. This book delivers a methodical, jargon-free way for data practitioners at any level, from true novices to seasoned professionals, to harness the power of data.Use Python 3.8+ to read, write, and transform data from a variety of sources Understand and use programming basics in Python to wrangle data at scale Organize, document, and structure your code using best practices Collect data from structured data files, web pages, and APIs Perform basic statistical analyses to make meaning from datasets Visualize and present data in clear and compelling ways
Susan E. McGregor
Practical Python Data Wrangling and Data Quality [PDF ebook]
Practical Python Data Wrangling and Data Quality [PDF ebook]
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Langue Anglais ● Format PDF ● Pages 416 ● ISBN 9781492091479 ● Maison d’édition O’Reilly Media ● Publié 2021 ● Téléchargeable 3 fois ● Devise EUR ● ID 8242870 ● Protection contre la copie Adobe DRM
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