Python Tools for Data Scientists Pocket Primer:
As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapte...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Herndon
Mercury Learning and Information
[2022]
|
| Schriftenreihe: | Pocket Primer
|
| Schlagworte: | |
| Online-Zugang: | DE-1046 DE-1043 DE-858 DE-859 DE-860 DE-739 URL des Erstveröffentlichers |
| Zusammenfassung: | As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. FEATURES:Introduces Python, NumPy, Sklearn, SciPy, and awkCovers data cleaning tasks and data visualizationFeatures numerous code samples throughoutIncludes companion files with source code |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
| Beschreibung: | 1 Online-Ressource (300 Seiten) |
| ISBN: | 9781683928225 |
| DOI: | 10.1515/9781683928225 |
Internformat
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| format | Electronic eBook |
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| isbn | 9781683928225 |
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| spelling | Campesato, Oswald Verfasser aut Python Tools for Data Scientists Pocket Primer Oswald Campesato Herndon Mercury Learning and Information [2022] © 2022 1 Online-Ressource (300 Seiten) txt rdacontent c rdamedia cr rdacarrier Pocket Primer Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) As part of the best-selling Pocket Primer series, this book is designed to provide a thorough introduction to numerous Python tools for data scientists. The book covers features of NumPy and Pandas, how to write regular expressions, and how to perform data cleaning tasks. It includes separate chapters on data visualization and working with Sklearn and SciPy. Companion files with source code are available. FEATURES:Introduces Python, NumPy, Sklearn, SciPy, and awkCovers data cleaning tasks and data visualizationFeatures numerous code samples throughoutIncludes companion files with source code In English Data Programming COMPUTERS / Programming Languages / Python bisacsh Erscheint auch als Druck-Ausgabe 9781683928232 https://doi.org/10.1515/9781683928225?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald Python Tools for Data Scientists Pocket Primer Data Programming COMPUTERS / Programming Languages / Python bisacsh |
| title | Python Tools for Data Scientists Pocket Primer |
| title_auth | Python Tools for Data Scientists Pocket Primer |
| title_exact_search | Python Tools for Data Scientists Pocket Primer |
| title_exact_search_txtP | Python Tools for Data Scientists Pocket Primer |
| title_full | Python Tools for Data Scientists Pocket Primer Oswald Campesato |
| title_fullStr | Python Tools for Data Scientists Pocket Primer Oswald Campesato |
| title_full_unstemmed | Python Tools for Data Scientists Pocket Primer Oswald Campesato |
| title_short | Python Tools for Data Scientists Pocket Primer |
| title_sort | python tools for data scientists pocket primer |
| topic | Data Programming COMPUTERS / Programming Languages / Python bisacsh |
| topic_facet | Data Programming COMPUTERS / Programming Languages / Python |
| url | https://doi.org/10.1515/9781683928225?locatt=mode:legacy |
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