A01=Jeroen Janssens
Age Group_Uncategorized
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Author_Jeroen Janssens
automatic-update
bash
Category1=Non-Fiction
Category=UN
command line
COP=United States
data processing
data science
data visualization
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Language_English
machine learning
PA=Available
parallel computing
Price_€50 to €100
PS=Active
shell
softlaunch
unix linux
Product details
- ISBN 9781492087915
- Dimensions: 178 x 232mm
- Publication Date: 27 Aug 2021
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
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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 80 tools--useful whether you work with Windows, macOS, or Linux.
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, and engineers; software and machine learning engineers; and system administrators.
Obtain data from websites, APIs, databases, and spreadsheets
Perform scrub operations on text, CSV, HTM, XML, and JSON files
Explore data, compute descriptive statistics, and create visualizations
Manage your data science workflow
Create reusable command-line tools from one-liners and existing Python or R code
Parallelize and distribute data-intensive pipelines
Model data with dimensionality reduction, clustering, regression, and classification algorithms
Jeroen Janssens teaches data science; often through training and coaching, occasionally through speaking, and infrequently through writing. His interests include visualizing data, building machine learning models, and automating things using either Python, R, or Bash. He is the author of Data Science at the Command Line, published by O’Reilly Media. Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University. Previously, he was an assistant professor at Jheronimus Academy of Data Science and a data scientist at Elsevier in Amsterdam and various startups in New York City. Currently, Jeroen is the CEO of Data Science Workshops, which organises open enrollment workshops, in-company courses, inspiration sessions, hackathons, and meetups. All related to data science of course.
