Artículos relacionados a Practical Python Data Wrangling and Data Quality: Getting...
Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data - Tapa blanda
Sinopsis
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. McGregor 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
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Susan McGregor is the Assistant Director of the Tow Center for Digital Journalism, and has been teaching journalists and other non-programmers to code for more than a decade. With a background in computer science, journalism and information visualization, McGregor loves solving problems that help people achieve greater agency. Following several years as the Senior Programmer of the Online News Graphics team at The Wall Street Journal, McGregor spent nearly a decade at Columbia University, where she taught classes on everything from introductory data journalism to advanced algorithmic investigation and analysis.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 50,28
EUR 4,55 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Practical Python Data Wrangling and Data Quality: Getting...
Imagen de archivo
Practical Python Data Wrangling and Data Quality: Getting Started With Reading, Cleaning, and Analyzing Data
Publicado por
O'Reilly Media, 2022
ISBN 10: 1492091502
ISBN 13: 9781492091509
Antiguo o usado
Tapa blanda
Librería: medimops, Berlin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Nº de ref. del artículo: M01492091502-V
Cantidad disponible: 1 disponibles
Imagen de archivo
Practical Python Data Wrangling and Data Quality
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781492091509
Cantidad disponible: 14 disponibles
Imagen de archivo
Practical Python Data Wrangling and Data Quality
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: WO-9781492091509
Cantidad disponible: 15 disponibles
Imagen de archivo
PRACTICAL PYTHON DATA WRANGLING & DATA
Librería: Speedyhen, London, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: NEW. Nº de ref. del artículo: NW9781492091509
Cantidad disponible: 2 disponibles
Imagen del vendedor
Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data (Paperback or Softback)
Publicado por
O'Reilly Media 12/28/2021, 2021
ISBN 10: 1492091502
ISBN 13: 9781492091509
Nuevo
Paperback or Softback
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback or Softback. Condición: New. Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data 1.45. Book. Nº de ref. del artículo: BBS-9781492091509
Cantidad disponible: 5 disponibles
Imagen de archivo
Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9781492091509_new
Cantidad disponible: 15 disponibles
Imagen del vendedor
Practical Python Data Wrangling and Data Quality
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. 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. McGregor 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 sourcesUnderstand and use programming basics in Python to wrangle data at scaleOrganize, document, and structure your code using best practicesCollect data from structured data files, web pages, and APIsPerform basic statistical analyses to make meaning from datasetsVisualize and present data in clear and compelling ways. Nº de ref. del artículo: LU-9781492091509
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Practical Python Data Wrangling and Data Quality
Publicado por
O'Reilly Media, Inc, USA, 2022
ISBN 10: 1492091502
ISBN 13: 9781492091509
Nuevo
Paperback / softback
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 209. Nº de ref. del artículo: B9781492091509
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Practical Python Data Wrangling and Data Quality: Getting Started with Reading, Cleaning, and Analyzing Data
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781492091509
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Practical Python Data Wrangling and Data Quality
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: New. 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. McGregor 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 sourcesUnderstand and use programming basics in Python to wrangle data at scaleOrganize, document, and structure your code using best practicesCollect data from structured data files, web pages, and APIsPerform basic statistical analyses to make meaning from datasetsVisualize and present data in clear and compelling ways. Nº de ref. del artículo: LU-9781492091509
Cantidad disponible: Más de 20 disponibles