Python For Data Science
(eBook)

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Published
Kevin Clark, 2020.
Status
Available Online

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Format
eBook
Language
English
ISBN
9781393468844

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Citations

APA Citation, 7th Edition (style guide)

Kevin Clark., & Kevin Clark|AUTHOR. (2020). Python For Data Science . Kevin Clark.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Kevin Clark and Kevin Clark|AUTHOR. 2020. Python For Data Science. Kevin Clark.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Kevin Clark and Kevin Clark|AUTHOR. Python For Data Science Kevin Clark, 2020.

MLA Citation, 9th Edition (style guide)

Kevin Clark, and Kevin Clark|AUTHOR. Python For Data Science Kevin Clark, 2020.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work IDf116ac9e-fcd2-b86a-ad5f-3cffdccba866-eng
Full titlepython for data science
Authorclark kevin
Grouping Categorybook
Last Update2022-10-18 21:40:45PM
Last Indexed2024-04-18 03:07:29AM

Book Cover Information

Image Sourcehoopla
First LoadedNov 30, 2022
Last UsedSep 2, 2023

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    [synopsis] => The phenomenon, named the fourth industrial revolution, and also known as Big Data, is bringing profound changes in the world we live in. It is still difficult to make accurate predictions of how the phenomenon will affect our lives and our world, but Big Data will change your personal life, your home, your car, your job, your health, your friendships, your diet, your sleep and your leisure. Large-scale data, with speed and variety never before imagined makes today's technology difficult to store and process. But what good is a mountain of data if we can't extract value? Behind this phenomenon is electronic data. A few decades ago this was produced by a few types of equipment and had a high cost of storage; today it is produced everywhere, and the cost of storage it is very low, and getting cheaper by the day. This book brings an introduction to the world of Data Science With Python. It explains analysis techniques using codes and includes over 60 programs that will walk you through Step by Step how to use Python in the world of data science. This hands on approach makes the presentation much more concrete. Finally, the readers will have a better grip on the complexity of Python, as we will explore extensive use of Python libraries, which hide details behind powerful functions. It is a powerful mystery that we can teach you to solve.
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