Python for data mining quick syntax reference
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 anal...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Apress
[2018]
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| 520 | |a 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 learning. | ||
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| id | ZDB-30-ORH-047609478 |
| illustrated | Illustrated |
| indexdate | 2024-12-18T08:47:48Z |
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| language | English |
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| physical | 1 online resource illustrations (some color) |
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| publishDate | 2018 |
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| publisher | Apress |
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| spelling | Porcu, Valentina VerfasserIn aut Python for data mining quick syntax reference Valentina Porcu New York Apress [2018] ©2018 1 online resource illustrations (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from PDF title page (EBSCO, viewed December 27, 2018) 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 learning. Python (Computer program language) Data mining Data Mining Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; General 9781484241127 Erscheint auch als Druck-Ausgabe 9781484241127 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781484241134/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Porcu, Valentina Python for data mining quick syntax reference Python (Computer program language) Data mining Data Mining Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; General |
| title | Python for data mining quick syntax reference |
| title_auth | Python for data mining quick syntax reference |
| title_exact_search | Python for data mining quick syntax reference |
| title_full | Python for data mining quick syntax reference Valentina Porcu |
| title_fullStr | Python for data mining quick syntax reference Valentina Porcu |
| title_full_unstemmed | Python for data mining quick syntax reference Valentina Porcu |
| title_short | Python for data mining quick syntax reference |
| title_sort | python for data mining quick syntax reference |
| topic | Python (Computer program language) Data mining Data Mining Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; General |
| topic_facet | Python (Computer program language) Data mining Data Mining Python (Langage de programmation) Exploration de données (Informatique) COMPUTERS ; General |
| url | https://learning.oreilly.com/library/view/-/9781484241134/?ar |
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