Instant Data Intensive Apps with Pandas How-to

Nonfiction, Computers, Programming, Programming Languages
Cover of the book Instant Data Intensive Apps with Pandas How-to by Trent Hauck, Packt Publishing
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Author: Trent Hauck ISBN: 9781782165590
Publisher: Packt Publishing Publication: May 23, 2013
Imprint: Packt Publishing Language: English
Author: Trent Hauck
ISBN: 9781782165590
Publisher: Packt Publishing
Publication: May 23, 2013
Imprint: Packt Publishing
Language: English
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This book has a practical approach with step-by-step recipes to help readers get to grips with Pandas.Users of other data analysis tools will find value in seeing tasks they commonly encounter translated to Pandas and users of Python will encounter an introduction to a very impressive tool in a syntax they inherently know. In terms of general skills, it is assumed that the reader understands basic data structures such as arrays or lists dictionaries or hash map as well as having some understanding of command line work. Installing Pandas is not covered, but the online documentation is straightforward. Also, readers are encouraged to use IPython to interact and experiment with the code.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This book has a practical approach with step-by-step recipes to help readers get to grips with Pandas.Users of other data analysis tools will find value in seeing tasks they commonly encounter translated to Pandas and users of Python will encounter an introduction to a very impressive tool in a syntax they inherently know. In terms of general skills, it is assumed that the reader understands basic data structures such as arrays or lists dictionaries or hash map as well as having some understanding of command line work. Installing Pandas is not covered, but the online documentation is straightforward. Also, readers are encouraged to use IPython to interact and experiment with the code.

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