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Item #:
44876900
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools, (Paperback)
Item #:
44876900
PAB 55
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Learn how to greatly improve your data science workflow by leveraging the command line's power.
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What Stands Out
Command Line Mastery
Master data science techniques using powerful UNIX command line tools, enhancing productivity and efficiency for data analysts and scientists looking to streamline their workflow.
Comprehensive Workflow
Provides a complete data science workflow from obtaining to modeling data, making it ideal for beginners and seasoned professionals wanting to refine their processes.
Practical Applications
Offers hands-on examples and real-world applications, enabling readers to directly apply learned concepts to their data challenges, boosting practical understanding and skills.
Product Details
- Learn how to use command-line tools to efficiently obtain, scrub, explore, and model data
- Access a Docker image containing over 100 Unix power tools for Windows, macOS, or Linux
- Discover the agility, scalability, and extensibility of the command line technology
- Improve data science workflow by integrating command-line power with Python or R processing
- Ideal for data scientists, analysts, engineers, system administrators, and researchers
- Explore operations such as obtaining data from various sources, data scrubbing, visualization, and modeling
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2021 |
| Pages | 280 |
| Reading level | Professional and Scholarly |
| Subgenre | Database Administration & Management |
| Series title | No Series |
| Edition | 2nd Edition |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.00 x 0.59 x 9.19 in (17.8 x 1.5 x 23.3 cm) |
| Assembled product weight | 1 lb (450 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Enthusiasts
Individuals eager to enhance their data manipulation skills using command line tools for better efficiency.
-
UNIX Users
Users familiar with UNIX who want to apply command line techniques to data science tasks effectively.
-
Self-Learners
Individuals motivated to learn data science independently through practical examples and hands-on exercises.
-
Beginners
Complete newcomers to data science without UNIX knowledge may struggle to grasp the concepts presented in this book.
Product Description
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools, (Paperback)
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Customer Questions & Answers
-
Question:
Who is this book ideal for?
Answer: Data scientists, analysts, engineers, system administrators, and researchers. -
Question:
What can I do with the command line?
Answer: You can obtain data from websites, APIs, databases, and spreadsheets, perform scrub operations, explore data, compute statistics, and create visualizations. -
Question:
Can I use this book with Python, Jupyter, R, RStudio, and Apache Spark?
Answer: Yes, you can leverage the command line from these platforms.
Jeroen Janssens All Books Editorial Review
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with UNIX Power Tools, is a non-fiction paperback published by O'Reilly Media in September 2021. This second edition spans 280 pages and is tailored for a professional and scholarly audience, focusing on database administration and management in computing and internet. The book empowers readers with UNIX power tools essential for effectively obtaining, scrubbing, and modeling data. It serves as an indispensable resource for data professionals seeking practical command-line techniques to streamline their workflow.
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Pros
- Comprehensive guide for data science workflows
- Focuses on using UNIX power tools
- Ideal for professional and scholarly readers
- Clear instructions for data modeling
- Practical examples enhance learning
Cons
- May not suit casual readers or beginners
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Features & Benefits
- Learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data.
- Ideal for data scientists, analysts, engineers, system administrators, and researchers.
- Obtain data from websites, APIs, databases, and spreadsheets.
- Perform scrub operations on text, CSV, HTML, XML, and JSON files.
- Explore data, compute descriptive statistics, and create visualizations.
- Leverage the command line from Python, Jupyter, R, RStudio, and Apache Spark.
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