Condizione: very_good. Book is in very good condition and may include minimal underlining highlighting. 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.
Lingua: Inglese
Editore: Manning (edition First Edition), 2019
ISBN 10: 1617295604 ISBN 13: 9781617295607
Da: BooksRun, Philadelphia, PA, U.S.A.
Prima edizione
Paperback. Condizione: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Paperback. Condizione: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Paperback. Condizione: 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!
paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
EUR 21,20
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
EUR 39,67
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread copy in mint condition.
EUR 39,77
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Brand New.
Paperback. Condizione: New. Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader's analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course.
Lingua: Inglese
Editore: Manning Publications Company, 2019
ISBN 10: 1617295604 ISBN 13: 9781617295607
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 400.
Lingua: Inglese
Editore: Manning Publications Company, 2019
ISBN 10: 1617295604 ISBN 13: 9781617295607
Da: Majestic Books, Hounslow, Regno Unito
EUR 41,99
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 400.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 46,40
Quantità: 15 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Lingua: Inglese
Editore: Manning Publications Company, 2019
ISBN 10: 1617295604 ISBN 13: 9781617295607
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 42,74
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. pp. 400.
Lingua: Inglese
Editore: Manning Publications, New York, 2019
ISBN 10: 1617295604 ISBN 13: 9781617295607
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the readers analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course. Large datasets tend to be distributed, non-uniform, and prone to change. Teaching readers how to build distributed data projects that can handle huge amounts of data, this edition introduces Dask DataFrames and teaches helpful code patterns to streamline the reader's analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condizione: NEW.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 51,07
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 55,79
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New. 2019. Paperback. . . . . .
Lingua: Inglese
Editore: Manning Publications 2019-10-11, 2019
ISBN 10: 1617295604 ISBN 13: 9781617295607
Da: Chiron Media, Wallingford, Regno Unito
EUR 53,03
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Condizione: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
EUR 65,14
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. pap/psc edition. 276 pages. 9.00x7.25x0.50 inches. In Stock.
Paperback. Condizione: New. Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader's analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course.