This manual provides comprehensive guidance for the Data Science Toolbox, a virtual environment designed to enhance data science workflows. Developed by Jeroen Janssens and published by O'Reilly Media, this resource focuses on leveraging the command line for efficient data acquisition, cleaning, exploration, and modeling. It is intended for data scientists and analysts seeking to improve their productivity by integrating command-line tools with existing programming languages like Python and R.
The manual covers a wide range of essential data science operations, including obtaining data from various sources, performing scrub operations on diverse file formats, exploring data, computing statistics, and generating visualizations. It also details workflow management with Drake, creating reusable tools, parallelizing data-intensive pipelines with GNU Parallel, and implementing modeling techniques such as dimensionality reduction, clustering, regression, and classification. This guide serves as an invaluable resource for users of all skill levels to master data science at the command line.
This hands-on 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—whether you’re on Windows, OS X, or Linux—author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.
Discover why the command line is an agile, scalable, and extensible technology. Even if you’re already comfortable processing data with, say, Python or R, you’ll greatly improve your data science workflow by also leveraging the power of the command line.
- Obtain data from websites, APIs, databases, and spreadsheets
- Perform scrub operations on plain text, CSV, HTML/XML, and JSON
- Explore data, compute descriptive statistics, and create visualizations
- Manage your data science workflow using Drake
- Create reusable tools from one-liners and existing Python or R code
- Parallelize and distribute data-intensive pipelines using GNU Parallel
- Model data with dimensionality reduction, clustering, regression, and classification algorithms
Author: Janssens, Jeroen
Publisher: O'Reilly Media
Illustration: N
Language: ENG
Title: Data Science at the Command Line: Facing the Future with Time-Tested Tools
Pages: 00212 (Unencrypted EPUB) / 00212 (Encrypted EPUB)
On Sale: 2014-09-25
SKU-13/ISBN: 9781491947852
Category: Computers : Data Processing
Category: Computers : Database Management - General
This hands-on 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—whether you’re on Windows, OS X, or Linux—author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools.
Discover why the command line is an agile, scalable, and extensible technology. Even if you’re already comfortable processing data with, say, Python or R, you’ll greatly improve your data science workflow by also leveraging the power of the command line.
- Obtain data from websites, APIs, databases, and spreadsheets
- Perform scrub operations on plain text, CSV, HTML/XML, and JSON
- Explore data, compute descriptive statistics, and create visualizations
- Manage your data science workflow using Drake
- Create reusable tools from one-liners and existing Python or R code
- Parallelize and distribute data-intensive pipelines using GNU Parallel
- Model data with dimensionality reduction, clustering, regression, and classification algorithms
Author: Janssens, Jeroen
Publisher: O'Reilly Media
Illustration: N
Language: ENG
Title: Data Science at the Command Line: Facing the Future with Time-Tested Tools
Pages: 00212 (Unencrypted EPUB) / 00212 (Encrypted EPUB)
On Sale: 2014-09-25
SKU-13/ISBN: 9781491947852
Category: Computers : Data Processing
Category: Computers : Database Management - General
