Seller: Zoom Books East, Glendale Heights, IL, U.S.A.
Condition: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by O'Reilly Media, Incorporated, 2019
ISBN 10: 1491985046 ISBN 13: 9781491985045
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Language: English
Published by O'Reilly Media, Incorporated, 2019
ISBN 10: 1491985046 ISBN 13: 9781491985045
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Seller: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: Fine.
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Paperback. Condition: 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.
Seller: Textbooks_Source, Columbia, MO, U.S.A.
paperback. Condition: Good. 3rd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Condition: New.
Condition: As New. Unread book in perfect condition.
Paperback. Condition: New. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who's connecting with whom, what they're talking about, and where they're located-using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter's example code, packaged as a Jupyter notebook Adapt and contribute to the code's open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
US$ 32.13
Quantity: 14 available
Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
US$ 57.42
Quantity: Over 20 available
Add to basketPaperback. Condition: New. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who's connecting with whom, what they're talking about, and where they're located-using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter's example code, packaged as a Jupyter notebook Adapt and contribute to the code's open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits.
Condition: new.
US$ 42.41
Quantity: 11 available
Add to basketCondition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 48.15
Quantity: 2 available
Add to basketCondition: New. In.
US$ 45.46
Quantity: 2 available
Add to basketPaperback. Condition: New.
US$ 49.78
Quantity: 11 available
Add to basketCondition: As New. Unread book in perfect condition.
Condition: New. pp. 500.
Language: English
Published by Oreilly & Associates Inc, 2019
ISBN 10: 1491985046 ISBN 13: 9781491985045
Seller: Revaluation Books, Exeter, United Kingdom
US$ 66.84
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 3rd edition. 400 pages. 9.00x7.00x1.00 inches. In Stock.
Condition: New. pp. 500.
Paperback. Condition: New. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who's connecting with whom, what they're talking about, and where they're located-using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter's example code, packaged as a Jupyter notebook Adapt and contribute to the code's open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits.
Kartoniert / Broschiert. Condition: New. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media.
US$ 53.74
Quantity: Over 20 available
Add to basketPaperback. Condition: New. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media-including who's connecting with whom, what they're talking about, and where they're located-using Python code examples, Jupyter notebooks, or Docker containers. In part one, each standalone chapter focuses on one aspect of the social landscape, including each of the major social sites, as well as web pages, blogs and feeds, mailboxes, GitHub, and a newly added chapter covering Instagram. Part two provides a cookbook with two dozen bite-size recipes for solving particular issues with Twitter. Get a straightforward synopsis of the social web landscape Use Docker to easily run each chapter's example code, packaged as a Jupyter notebook Adapt and contribute to the code's open source GitHub repository Learn how to employ best-in-class Python 3 tools to slice and dice the data you collect Apply advanced mining techniques such as TFIDF, cosine similarity, collocation analysis, clique detection, and image recognition Build beautiful data visualizations with Python and JavaScript toolkits.
Language: Chinese
Published by Machinery Industry Press, 2021
ISBN 10: 7111674049 ISBN 13: 9787111674047
Seller: liu xing, Nanjing, JS, China
paperback. Condition: New. Paperback. Pub Date: 2021-02-01 Pages: 334 Language: Chinese Publisher: China Machinery Industry Press Data Mining and Analysis of Social Networks (Original Book 3rd Edition) guides you to dig hidden in Twitter. Facebook. LinkedIn. Instagram And rich data on popular social networking sites such as GitHub.?Through this best-selling guide. data scientists. analysts. and programmers will learn how to use Python code in Jupyter Notebook or Docker containers to analyze social media insights-who ar.
Language: English
Published by Oreilly & Associates Inc, 2019
ISBN 10: 1491985046 ISBN 13: 9781491985045
Seller: Revaluation Books, Exeter, United Kingdom
US$ 59.21
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 3rd edition. 400 pages. 9.00x7.00x1.00 inches. In Stock. This item is printed on demand.