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Practical Web Scraping for Data Science: Best Practices and Examples with Python Paperback – April 19, 2018
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About the Author
Seppe vanden Broucke is an assistant professor of data and process science at the Faculty of Economics and Business, KU Leuven, Belgium. His research interests include business data mining and analytics, machine learning, process management, and process mining. His work has been published in well-known international journals and presented at top conferences. Seppe’s teaching includes Advanced Analytics, Big Data and Information Management courses. He also frequently teaches for industry and business audiences. Besides work, Seppe enjoys travelling, reading (Murakami to Bukowski to Asimov), listening to music (Booka Shade to Miles Davis to Claude Debussy), watching movies and series (less so these days due to a lack of time), gaming, and keeping up with the news.Bart Baesens is a professor of big data and analytics at KU Leuven, Belgium, and a lecturer at the University of Southampton, United Kingdom. He has done extensive research on big data and analytics, credit risk modeling, fraud detection and marketing analytics. Bart has written more than 200 scientific papers and several books. Besides enjoying time with his family, he is also a diehard Club Brugge soccer fan. Bart is a foodie and amateur cook. He loves drinking a good glass of wine (his favorites are white Viognier or red Cabernet Sauvignon) either in his wine cellar or when overlooking the authentic red English phone booth in his garden. Bart loves traveling and is fascinated by World War I and reads many books on the topic.
- Publisher : Apress; 1st ed. edition (April 19, 2018)
- Language : English
- Paperback : 322 pages
- ISBN-10 : 1484235819
- ISBN-13 : 978-1484235812
- Item Weight : 13.46 pounds
- Dimensions : 7.01 x 0.73 x 10 inches
- Best Sellers Rank: #218,801 in Books (See Top 100 in Books)
- Customer Reviews:
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Ein kurzer Text mit knackiger Info? Von mir aus, aber leider war auch das nichts. Es gab ein paar interessante , nun ja, Essays nennen. Für die dann 2 Punkte. Der Rest war angerissen oder im "Neuland" schneller und besser auffindbar.
Am Ende also viel zuviel Geld für zu wenig Info. Habs zurückgeschickt. Danke amazon!