Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/2022
Title: Learn Data Analysis with Python
Other Titles: Lessons in Coding /
Authors: Henley, A.J. ; author. ;;Wolf, Dave. ; author. ;
subject: Computer Science;Big data. ;;Data Mining;Computer Science;Python. ;;Data Mining and Knowledge Discovery;Big Data. ;;Big Data/Analytics. ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format.eLearn Data Analysis with Pythonealso helps you discover meaning in the data using analysis and shows you how to visualize it.ee Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects. If you areneet using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. You will: Get data into and out of Python code Prepare the data and its format Find the meaning of the data Visualize the data using iPython. ;
Description: Printed edition: ; 9781484234853 ;

SpringerLink (Online service) ;



QA76


42 ;
URI: http://localhost/handle/Hannan/2022
ISBN: 9781484234860 ; 978-1-4842-3486-0 ;
More Information: IX, 97 p. 15 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
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9781484234860.pdf1.76 MBAdobe PDFThumbnail
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Title: Learn Data Analysis with Python
Other Titles: Lessons in Coding /
Authors: Henley, A.J. ; author. ;;Wolf, Dave. ; author. ;
subject: Computer Science;Big data. ;;Data Mining;Computer Science;Python. ;;Data Mining and Knowledge Discovery;Big Data. ;;Big Data/Analytics. ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format.eLearn Data Analysis with Pythonealso helps you discover meaning in the data using analysis and shows you how to visualize it.ee Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects. If you areneet using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. You will: Get data into and out of Python code Prepare the data and its format Find the meaning of the data Visualize the data using iPython. ;
Description: Printed edition: ; 9781484234853 ;

SpringerLink (Online service) ;



QA76


42 ;
URI: http://localhost/handle/Hannan/2022
ISBN: 9781484234860 ; 978-1-4842-3486-0 ;
More Information: IX, 97 p. 15 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484234860.pdf1.76 MBAdobe PDFThumbnail
Preview File
Title: Learn Data Analysis with Python
Other Titles: Lessons in Coding /
Authors: Henley, A.J. ; author. ;;Wolf, Dave. ; author. ;
subject: Computer Science;Big data. ;;Data Mining;Computer Science;Python. ;;Data Mining and Knowledge Discovery;Big Data. ;;Big Data/Analytics. ;
Year: 2018
place: Berkeley, CA :
Publisher: Apress :
Imprint: Apress,
Abstract: Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format.eLearn Data Analysis with Pythonealso helps you discover meaning in the data using analysis and shows you how to visualize it.ee Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects. If you areneet using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished. You will: Get data into and out of Python code Prepare the data and its format Find the meaning of the data Visualize the data using iPython. ;
Description: Printed edition: ; 9781484234853 ;

SpringerLink (Online service) ;



QA76


42 ;
URI: http://localhost/handle/Hannan/2022
ISBN: 9781484234860 ; 978-1-4842-3486-0 ;
More Information: IX, 97 p. 15 illus. in color. ; online resource. ;
Appears in Collections:مهندسی فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484234860.pdf1.76 MBAdobe PDFThumbnail
Preview File