Data Science at the Command Line: (Record no. 34419)
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
|---|---|
| ISBN | 978-1492087915 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| Author Mark | JAN-D |
| 100 ## - MAIN ENTRY--AUTHOR | |
| Author Name | Janssens, Jeroen |
| 245 ## - TITLE STATEMENT | |
| Title | Data Science at the Command Line: |
| Sub-Title | Obtain, Scrub, Explore, and Model Data with Unix Power Tools |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd Ed; |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of Publication | Sebastopol CA, |
| Name of publisher, distributor, etc. | O'Reilly Media |
| Date of publication, distribution, etc. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | 257p, |
| 500 ## - GENERAL NOTE | |
| General note | This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools--useful whether you work with Windows, macOS, or Linux.<br/><br/>You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, engineers, system administrators, and researchers.<br/><br/>Obtain data from websites, APIs, databases, and spreadsheets<br/>Perform scrub operations on text, CSV, HTML, XML, and JSON files<br/>Explore data, compute descriptive statistics, and create visualizations<br/>Manage your data science workflow<br/>Create your own tools from one-liners and existing Python or R code<br/>Parallelize and distribute data-intensive pipelines<br/>Model data with dimensionality reduction, regression, and classification algorithms<br/>Leverage the command line from Python, Jupyter, R, RStudio, and Apache Spark |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Include Index. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Not for loan | Collection code | Permanent Location | Current Location | Shelving Location | Date acquired | Source of acquisition | Price | Full Call Number | Accession No./Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Air University Kharian Campus Library | Air University Kharian Campus Library | Computer Science | 02/17/2025 | Ali Book Service | 1482.00 | 005.7 JAN-D | AUKHP0367 | 02/25/2025 | Book |