23,89 €
Instant Data Intensive Apps with Pandas How-to
Instant Data Intensive Apps with Pandas How-to
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Instant Data Intensive Apps with Pandas How-to
Instant Data Intensive Apps with Pandas How-to
El. knyga:
23,89 €
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 und…
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Instant Data Intensive Apps with Pandas How-to | knygos.lt

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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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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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