Lingua: Inglese
Editore: Pragmatic Programmers, LLC, The, 2016
ISBN 10: 1680501844 ISBN 13: 9781680501841
Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: 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.
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!
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Condizione: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Pragmatic Bookshelf, Raleigh, 2016
ISBN 10: 1680501844 ISBN 13: 9781680501841
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python. Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data. This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data.Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions, clustering, and decision trees). See how typical data analysis problems are handled. And try your hand at your own solutions to a variety of medium-scale projects that are fun to work on and look good on your resume. Keep this handy quick guide at your side whether you're a student, an entry-level data science professional converting from R to Python, or a seasoned Python developer who doesn't want to memorize every function and option. What You Need: You need a decent distribution of Python 3.3 or above that includes at least NLTK, Pandas, NumPy, Matplotlib, Networkx, SciKit-Learn, and BeautifulSoup. A great distribution that meets the requirements is Anaconda, available for free from If you plan to set up your own database servers, you also need MySQL and MongoDB . Both packages are free and run on Windows, Linux, and Mac OS. Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 26,85
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Pragmatic Bookshelf 8/20/2016, 2016
ISBN 10: 1680501844 ISBN 13: 9781680501841
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value. Book.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 26,24
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 23,08
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 26,27
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Da: Revaluation Books, Exeter, Regno Unito
EUR 41,19
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 200 pages. 9.50x7.50x0.40 inches. In Stock.
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Aggiungi al carrelloCondizione: New. Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist.Über den AutorrnrnDmitry Zinoviev has an MS in Physics from Moscow S.
Lingua: Inglese
Editore: Pragmatic Bookshelf, Raleigh, 2016
ISBN 10: 1680501844 ISBN 13: 9781680501841
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 49,22
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work. This one-stop solution covers the essential data science you need in Python. Data science is one of the fastest-growing disciplines in terms of academic research, student enrollment, and employment. Python, with its flexibility and scalability, is quickly overtaking the R language for data-scientific projects. Keep Python data-science concepts at your fingertips with this modular, quick reference to the tools used to acquire, clean, analyze, and store data. This one-stop solution covers essential Python, databases, network analysis, natural language processing, elements of machine learning, and visualization. Access structured and unstructured text and numeric data from local files, databases, and the Internet. Arrange, rearrange, and clean the data.Work with relational and non-relational databases, data visualization, and simple predictive analysis (regressions, clustering, and decision trees). See how typical data analysis problems are handled. And try your hand at your own solutions to a variety of medium-scale projects that are fun to work on and look good on your resume. Keep this handy quick guide at your side whether you're a student, an entry-level data science professional converting from R to Python, or a seasoned Python developer who doesn't want to memorize every function and option. What You Need: You need a decent distribution of Python 3.3 or above that includes at least NLTK, Pandas, NumPy, Matplotlib, Networkx, SciKit-Learn, and BeautifulSoup. A great distribution that meets the requirements is Anaconda, available for free from If you plan to set up your own database servers, you also need MySQL and MongoDB . Both packages are free and run on Windows, Linux, and Mac OS. Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Pragmatic Programmers Sep 2016, 2016
ISBN 10: 1680501844 ISBN 13: 9781680501841
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 34,18
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware.
Da: Buchpark, Trebbin, Germania
EUR 16,23
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Aggiungi al carrelloCondizione: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical methods; and see actual examples of data analysis at work.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 25,87
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 438.