Michal krystyanczuk (17 resultados)

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Librería: Lexington Books Inc, Idaho Falls, ID, Estados Unidos de AmericaLexington Books Inc
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EUR 43,62
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Paperback. Condición: As New.

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 55,51
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Condición: New.

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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 57,91
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.

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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 56,79
Envío por EUR 2,32Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.

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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de AmericaBargainBookStores
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EUR 59,89
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Condición: New. Python Social Media Analytics (Paperback or Softback).

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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
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EUR 65,16
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Digital. Condición: New. Leverage the power of Python to collect, process, and mine deep insights from social media dataAbout This Book. Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more. Analyze and extract actionable insights from your social data using various Python tools.…A highly practical guide to conducting efficient social media analytics at scaleWho This Book Is ForIf you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.What You Will Learn. Understand the basics of social media mining. Use PyMongo to clean, store, and access data in MongoDB. Understand user reactions and emotion detection on Facebook. Perform Twitter sentiment analysis and entity recognition using Python. Analyze video and campaign performance on YouTube. Mine popular trends on GitHub and predict the next big technology. Extract conversational topics on public internet forums. Analyze user interests on Pinterest. Perform large-scale social media analytics on the cloudIn DetailSocial Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.Style and approachThis book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 67,18
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Digital. Condición: New. Leverage the power of Python to collect, process, and mine deep insights from social media dataAbout This Book. Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more. Analyze and extract actionable insights from your social data using various Python tools.…A highly practical guide to conducting efficient social media analytics at scaleWho This Book Is ForIf you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.What You Will Learn. Understand the basics of social media mining. Use PyMongo to clean, store, and access data in MongoDB. Understand user reactions and emotion detection on Facebook. Perform Twitter sentiment analysis and entity recognition using Python. Analyze video and campaign performance on YouTube. Mine popular trends on GitHub and predict the next big technology. Extract conversational topics on public internet forums. Analyze user interests on Pinterest. Perform large-scale social media analytics on the cloudIn DetailSocial Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.Style and approachThis book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 69,32
Envío por EUR 3,51Se envía dentro de Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. pp. 312.

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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 60,11
Envío por EUR 14,05Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. In.

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Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
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EUR 56,47
Envío por EUR 18,17Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
paperback. Condición: New.

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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 59,47
Envío por EUR 17,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.

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Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Como Nuevo
EUR 91,67
Envío por EUR 17,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: As New. Unread book in perfect condition.

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Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 66,97
Envío por EUR 43,92Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Digital. Condición: New. Leverage the power of Python to collect, process, and mine deep insights from social media dataAbout This Book. Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more. Analyze and extract actionable insights from your social data using various Python tools.…A highly practical guide to conducting efficient social media analytics at scaleWho This Book Is ForIf you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.What You Will Learn. Understand the basics of social media mining. Use PyMongo to clean, store, and access data in MongoDB. Understand user reactions and emotion detection on Facebook. Perform Twitter sentiment analysis and entity recognition using Python. Analyze video and campaign performance on YouTube. Mine popular trends on GitHub and predict the next big technology. Extract conversational topics on public internet forums. Analyze user interests on Pinterest. Perform large-scale social media analytics on the cloudIn DetailSocial Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.Style and approachThis book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 62,28
Envío por EUR 76,23Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Digital. Condición: New. Leverage the power of Python to collect, process, and mine deep insights from social media dataAbout This Book. Acquire data from various social media platforms such as Facebook, Twitter, YouTube, GitHub, and more. Analyze and extract actionable insights from your social data using various Python tools.…A highly practical guide to conducting efficient social media analytics at scaleWho This Book Is ForIf you are a programmer or a data analyst familiar with the Python programming language and want to perform analyses of your social data to acquire valuable business insights, this book is for you. The book does not assume any prior knowledge of any data analysis tool or process.What You Will Learn. Understand the basics of social media mining. Use PyMongo to clean, store, and access data in MongoDB. Understand user reactions and emotion detection on Facebook. Perform Twitter sentiment analysis and entity recognition using Python. Analyze video and campaign performance on YouTube. Mine popular trends on GitHub and predict the next big technology. Extract conversational topics on public internet forums. Analyze user interests on Pinterest. Perform large-scale social media analytics on the cloudIn DetailSocial Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business.Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup.Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.Style and approachThis book follows a step-by-step approach to teach readers the concepts of social media analytics using the Python programming language. To explain various data analysis processes, real-world datasets are used wherever required.

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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 68,40
Envío por EUR 7,62Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand pp. 312.

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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 66,94
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND pp. 312.

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Librería: moluna, Greven, Alemaniamoluna
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EUR 68,37
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.