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Mining the social web, Facebook : learn how to explore and analyze Facebook data with Python and Facebook's Graph API /
"Are you interested in exploring the data generated by Facebook's over 1.28 billion daily active users? Do you have some basic experience working with Python? If so, this course is for you. You'll explore Facebook's social graph and learn how it structures data; as well as discov...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly,
[2017]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | "Are you interested in exploring the data generated by Facebook's over 1.28 billion daily active users? Do you have some basic experience working with Python? If so, this course is for you. You'll explore Facebook's social graph and learn how it structures data; as well as discover how to use Python and Facebook's Graph API to connect to and query the social graph for page and user data, and pick up some experience manipulating and visualizing Facebook data using the powerful Python libraries, pandas and matplotlib. The course is taught by data scientist Mikhail Klassen and is based on content from Matthew Russell's book, 'Mining the Social Web' (O'Reilly Media)."--Resource description page. |
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| Notas: | Title from title screen (viewed June 26, 2017). Date of publication from resource description page. |
| Descripción Física: | 1 online resource (1 streaming video file (34 min., 43 sec.)) : digital, sound, color |