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Python for Data Mining Quick Syntax Reference / by Valentina Porcu

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook CollectionPublisher: Berkeley, CA : Apress, 2018Description: Online-Ressource (XV, 260 p. 80 illus, online resource)ISBN:
  • 9781484241134
Subject(s): Additional physical formats: 9781484241127 | 9781484241141 | Erscheint auch als: 978-1-4842-4112-7 Druck-Ausgabe | Printed edition: 9781484241127 | Printed edition: 9781484241141 DDC classification:
  • 005.133
LOC classification:
  • QA76.73.P98
DOI: DOI: 10.1007/978-1-4842-4113-4Online resources: Summary: Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis. Python for Data Mining Quick Syntax Reference covers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them. The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learningSummary: 1. Getting Started -- 2. Introductory Notions -- 3. Basic Objects and Structures -- 4. Functions -- 5. Conditional Instructions and Writing Functions -- 6. Other Basic Concepts -- 7. Importing Files -- 8. pandas -- 9. SciPy and NumPy -- 10. Matplotlib -- 11. scikit-learnPPN: PPN: 1045552119Package identifier: Produktsigel: ZDB-2-CWD | ZDB-2-SEB | ZDB-2-SXPC
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Reproduktion. (Springer eBook Collection. Professional and Applied Computing)

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