Data Science Fundamentals Pocket Primer:
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, da...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Herndon
Mercury Learning and Information
[2021]
|
| 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 introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. FEATURES:Includes a concise introduction to Python 3 and linear algebraProvides a thorough introduction to data visualization and regular expressionsCovers NumPy, Pandas, R, and SQLIntroduces probability and statistical conceptsFeatures numerous code samples throughoutCompanion files with source code and figuresThe companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
| Beschreibung: | 1 Online-Ressource (428 Seiten) |
| ISBN: | 9781683927327 |
| DOI: | 10.1515/9781683927327 |
Internformat
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Datensatz im Suchindex
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| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1515/9781683927327 |
| format | Electronic eBook |
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| spelling | Campesato, Oswald Verfasser aut Data Science Fundamentals Pocket Primer Oswald Campesato Herndon Mercury Learning and Information [2021] © 2021 1 Online-Ressource (428 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 introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available. FEATURES:Includes a concise introduction to Python 3 and linear algebraProvides a thorough introduction to data visualization and regular expressionsCovers NumPy, Pandas, R, and SQLIntroduces probability and statistical conceptsFeatures numerous code samples throughoutCompanion files with source code and figuresThe companion files are available online by emailing the publisher with proof of purchase at info@merclearning.com In English Data Programming COMPUTERS / Programming Languages / Python bisacsh Erscheint auch als Druck-Ausgabe 9781683927334 https://doi.org/10.1515/9781683927327?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald Data Science Fundamentals Pocket Primer Data Programming COMPUTERS / Programming Languages / Python bisacsh |
| title | Data Science Fundamentals Pocket Primer |
| title_auth | Data Science Fundamentals Pocket Primer |
| title_exact_search | Data Science Fundamentals Pocket Primer |
| title_exact_search_txtP | Data Science Fundamentals Pocket Primer |
| title_full | Data Science Fundamentals Pocket Primer Oswald Campesato |
| title_fullStr | Data Science Fundamentals Pocket Primer Oswald Campesato |
| title_full_unstemmed | Data Science Fundamentals Pocket Primer Oswald Campesato |
| title_short | Data Science Fundamentals Pocket Primer |
| title_sort | data science fundamentals pocket primer |
| topic | Data Programming COMPUTERS / Programming Languages / Python bisacsh |
| topic_facet | Data Programming COMPUTERS / Programming Languages / Python |
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