Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 36,34
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Fine.
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 36,34
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Paperback.Pub Date:2022-01-01 Pages:218 Language:Chinese Publisher:People's Posts and Telecommunications Publishing House With the vigorous development of the Internet. it is more and more important to obtain and process data from the vast online world. and extract useful information from it. The book takes the reader to learn how to obtain data and present it in a suitable way. The book is divided into 4 parts. The first part. namely chapters 1 to 5. mainly introduces the collection of data.
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Paperback.Pub Date:2022-01-01 Pages:218 Language:Chinese Publisher:People's Posts and Telecommunications Publishing House With the vigorous development of the Internet. it is more and more important to obtain and process data from the vast online world. and extract useful information from it. The book takes the reader to learn how to obtain data and present it in a suitable way. The book is divided into 4 parts. The first part. namely chapters 1 to 5. mainly introduces the collection of data.
ISBN 10: 7113251455 ISBN 13: 9787113251451
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2019-01-01 Pages: 272 Publisher: China Railway Publishing House This book uses the combination of theory and case. with Anaconda as the main development tool. systematically and comprehensively introduces the relevant knowledge of Python data analysis. The book is divided into 9 chapters. Chapter 1 introduces the basic concepts of data analysis and the installation of development tools.
ISBN 10: 7121336537 ISBN 13: 9787121336539
Anbieter: liu xing, Nanjing, JS, China
paperback. Zustand: New. Paperback. Pub Date: 2018-03-01 Pages: 260 Language: Chinese Publisher: electronic industry press Introductory book for data analysis of books. on the basis of the Python language. introduces the whole process of data analysis.Book covers data access (i.e. the design of web crawler program). the early stage of the data cleaning and processing. using the machine.
Taschenbuch. Zustand: Neu. Mastering Social Media Mining with Python | Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis | Marco Bonzanini | Taschenbuch | Kartoniert / Broschiert | Englisch | 2016 | Packt Publishing | EAN 9781783552016 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Acquire and analyze data from all corners of the social web with Python Key Features ¿ Make sense of highly unstructured social media data with the help of the insightful use cases provided in this guide ¿ Use this easy-to-follow, step-by-step guide to apply analytics to complicated and messy social data ¿ This is your one-stop solution to fetching, storing, analyzing, and visualizing social media data Book Description Your social media is filled with a wealth of hidden data - unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data. What you will learn ¿ Interact with a social media platform via their public API with Python ¿ Store social data in a convenient format for data analysis ¿ Slice and dice social data using Python tools for data science ¿ Apply text analytics techniques to understand what people are talking about on social media ¿ Apply advanced statistical and analytical techniques to produce useful insights from data ¿ Build beautiful visualizations with web technologies to explore data and present data products Who this book is for This book is for intermediate Python developers who want to engage with the use of public APIs to collect data from social media platforms and perform statistical analysis in order to produce useful insights from data. The book assumes a basic understanding of the Python Standard Library and provides practical examples to guide you toward the creation of your data analysis project based on social data.