Cover Image

Data science at the command line facing the future with time-tested tools

This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. 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 p...

Full description

Saved in:

Bibliographic Details
Main Author:	Janssens, Jeroen (Author)
Format:	Book
Language:	English
Published:	Sebastopol, CA O'Reilly Media 2015
Subjects:	Electronic data processing. Database management. Information science. Command languages (Computer science)
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The data model resource book a library of logical data models and data warehouse designs
by: Silverston, Len
Published: (1997)

The data model resource book a library of logical data models and data warehouse designs
by: Silverston, Len
Published: (1997)

Data science from scratch first principles with Python
by: Grus, Joel
Published: (2019)

Structuring data and building algorithms
by: Ian
Published: (2002)

The data warehouse challenge taming data chaos
by: Brackett

Data science concepts and practice
by: Kotu, Vijay, et al.
Published: (2019)

Pengenalan kepada pengkalan data
Published: (2002)

The art and science of analyzing software data
Published: (2015)

Distributed databases principles and systems
by: Ceri
Published: (1984)

Commanding officers
by: Miller, David (David M.O.)
Published: (2001)

Command in war
by: Van Creveld

Linux command line and shell scripting bible
by: Blum, Richard 1962-, et al.
Published: (2015)

Fundamentals of computer II abstraction, data structures, and large software systems
Published: (1995)

The mask of command
by: Keegan, John
Published: (1988)

The human in command exploring the modern military experience
Published: (2000)

Projects in computing and information systems a student's guide
by: Dawson, Christian W.
Published: (2015)

Data and image compression tools and techniques
by: Held, Gilbert
Published: (1996)

Data and text mining a business applications approach
by: Miller, Thomas W. 1955-
Published: (2005)

The Chief Data Officer's playbook
by: Carruthers, Caroline, et al.
Published: (2018)

The data warehouse toolkit practical techniques for building dimensional data warehouses
by: Kimball
Published: (1996)

Fundamentals fo computing I logic, problem solving, programs, and computers
Published: (1995)

Fundamentals of computing I logic, problem solving, programs, and computers
Published: (1994)

Organisasi & senibina sistem komputer
by: Abdullah Md Zin lh

Data compression in digital systems
by: Hoffman, Roy (Roy L.)
Published: (1997)

The data warehouse ETL toolkit practical techniques for extracting, cleaning, conforming and delivering data
by: Kimball, Ralph, et al.
Published: (2004)

The data warehouse toolkit the definitive guide to dimensional modeling
by: Kimball, Ralph, et al.
Published: (2013)

The data warehouse lifecycle toolkit practical techniques for building data warehouse and business intelligence systems
by: Kimball, Ralph, et al.
Published: (2008)

Understanding data and information systems for recordkeeping
by: Bantin, Philip C.
Published: (2005)

Building the operational data store
by: Inmon
Published: (1999)

Competing with high data quality concepts, tools, and techniques for building a successful approach to data quality
by: Jugulum, Rajesh
Published: (2014)

Text mining and visualization case studies using open-source tools
Published: (2016)

Windows forensics and incident recovery
by: Carvey, Harlan A.
Published: (2005)

Data driven systems modeling
by: Planche
Published: (1991)

Effective big data management and opportunities for implementation
Published: (2016)

Sistem pangkalan data
by: Abdullah Embong
Published: (2014)

Sistem pangkalan data
by: Mohd. Helmy Abd. Wahab
Published: (2013)

Data structures, data abstraction a contemporary introduction using C++
by: Model, Mitchell L.
Published: (1994)

Data structures & problem solving using Java
by: Weiss, Mark Allen
Published: (2010)

Big data concepts, methodologies, tools, and applications
Published: (2016)

Foundations for architecting data solutions managing successful data projects
by: Malaska,Ted, et al.
Published: (2018)