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: |
Dulles, Virginia :
Mercury Learning and Information,
[2021]
|
| Schriftenreihe: | Pocket primer.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| 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 algebra; Provides a thorough introduction to data visualization and regular expressions; Covers NumPy, Pandas, R, and SQL; Introduces probability and statistical concepts; Features numerous code samples throughout; Companion files with source code and figures. |
| Beschreibung: | 1 online resource. |
| ISBN: | 9781683927310 1683927311 |
Internformat
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| 520 | |a 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 algebra; Provides a thorough introduction to data visualization and regular expressions; Covers NumPy, Pandas, R, and SQL; Introduces probability and statistical concepts; Features numerous code samples throughout; Companion files with source code and figures. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on November 23, 2021). | ||
| 505 | 0 | |a 1: Working with Data. -- 2: Introduction to Probability and Statistics. -- 3: Linear Algebra Concepts. -- 4: Introduction to Python. -- 5: Introduction to NumPy. -- 6: Introduction to Pandas. -- 7: Introduction to R. -- 8: Regular Expressions. -- 9: SQL and NoSQL. -- 10: Data Visualization. -- Index. | |
| 650 | 0 | |a Databases. |0 http://id.loc.gov/authorities/subjects/sh86007767 | |
| 650 | 0 | |a Information retrieval. |0 http://id.loc.gov/authorities/subjects/sh85066148 | |
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| author | Campesato, Oswald |
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| contents | 1: Working with Data. -- 2: Introduction to Probability and Statistics. -- 3: Linear Algebra Concepts. -- 4: Introduction to Python. -- 5: Introduction to NumPy. -- 6: Introduction to Pandas. -- 7: Introduction to R. -- 8: Regular Expressions. -- 9: SQL and NoSQL. -- 10: Data Visualization. -- Index. |
| ctrlnum | (OCoLC)1257705565 |
| dewey-full | 005.74 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.74 |
| dewey-search | 005.74 |
| dewey-sort | 15.74 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-4-EBA-on1257705565 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:30:20Z |
| institution | BVB |
| isbn | 9781683927310 1683927311 |
| language | English |
| oclc_num | 1257705565 |
| open_access_boolean | |
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| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource. |
| psigel | ZDB-4-EBA |
| publishDate | 2021 |
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| publisher | Mercury Learning and Information, |
| record_format | marc |
| series | Pocket primer. |
| series2 | Pocket primer |
| spelling | Campesato, Oswald, author. Data science fundamentals : pocket primer / Oswald Campesato. Dulles, Virginia : Mercury Learning and Information, [2021] 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier 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, 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 algebra; Provides a thorough introduction to data visualization and regular expressions; Covers NumPy, Pandas, R, and SQL; Introduces probability and statistical concepts; Features numerous code samples throughout; Companion files with source code and figures. Description based on online resource; title from digital title page (viewed on November 23, 2021). 1: Working with Data. -- 2: Introduction to Probability and Statistics. -- 3: Linear Algebra Concepts. -- 4: Introduction to Python. -- 5: Introduction to NumPy. -- 6: Introduction to Pandas. -- 7: Introduction to R. -- 8: Regular Expressions. -- 9: SQL and NoSQL. -- 10: Data Visualization. -- Index. Databases. http://id.loc.gov/authorities/subjects/sh86007767 Information retrieval. http://id.loc.gov/authorities/subjects/sh85066148 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Recherche de l'information. Python (Langage de programmation) information retrieval. aat Databases fast Information retrieval fast Python (Computer program language) fast has work: Data science fundamentals (Text) https://id.oclc.org/worldcat/entity/E39PCGDkM38WHJ6WFbKx9xKDbd https://id.oclc.org/worldcat/ontology/hasWork Print version: Campesato, Oswald. Data science fundamentals. Dulles : Mercury Learning & Information, 2021 9781683927334 (OCoLC)1263811116 Pocket primer. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2955306 Volltext |
| spellingShingle | Campesato, Oswald Data science fundamentals : pocket primer / Pocket primer. 1: Working with Data. -- 2: Introduction to Probability and Statistics. -- 3: Linear Algebra Concepts. -- 4: Introduction to Python. -- 5: Introduction to NumPy. -- 6: Introduction to Pandas. -- 7: Introduction to R. -- 8: Regular Expressions. -- 9: SQL and NoSQL. -- 10: Data Visualization. -- Index. Databases. http://id.loc.gov/authorities/subjects/sh86007767 Information retrieval. http://id.loc.gov/authorities/subjects/sh85066148 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Recherche de l'information. Python (Langage de programmation) information retrieval. aat Databases fast Information retrieval fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh86007767 http://id.loc.gov/authorities/subjects/sh85066148 http://id.loc.gov/authorities/subjects/sh96008834 |
| title | Data science fundamentals : pocket primer / |
| title_auth | Data science fundamentals : pocket primer / |
| title_exact_search | 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 : |
| title_sort | data science fundamentals pocket primer |
| title_sub | pocket primer / |
| topic | Databases. http://id.loc.gov/authorities/subjects/sh86007767 Information retrieval. http://id.loc.gov/authorities/subjects/sh85066148 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Recherche de l'information. Python (Langage de programmation) information retrieval. aat Databases fast Information retrieval fast Python (Computer program language) fast |
| topic_facet | Databases. Information retrieval. Python (Computer program language) Recherche de l'information. Python (Langage de programmation) information retrieval. Databases Information retrieval |
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