Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1404
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dc.contributor.authorHenley, A.J. ;en_US
dc.contributor.authorWolf, Dave. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:30Z-
dc.date.available2020-05-17T08:28:30Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484234860 ;en_US
dc.identifier.isbn9781484234853 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1404-
dc.descriptionQA76en_US
dc.descriptionPrinted edition: ; 9781484234853. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractGet 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. ;en_US
dc.description.statementofresponsibilityby A.J. Henley, Dave Wolf.en_US
dc.description.tableofcontents1. How to Use This Book -- 2. Getting Data into and out of Python -- 3. Preparing Data is Half the Battle -- 4. Finding the Meaning -- 5. Visualizing Data -- 6. Practice Problems. ;en_US
dc.format.extentIX, 97 p. 15 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484234853.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectBig data. ;en_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectBig Data. ;en_US
dc.subjectBig Data/Analytics. ;en_US
dc.titleLearn Data Analysis with Pythonen_US
dc.title.alternativeLessons in Coding /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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9781484234853.pdf1.76 MBAdobe PDFThumbnail
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Full metadata record
DC FieldValueLanguage
dc.contributor.authorHenley, A.J. ;en_US
dc.contributor.authorWolf, Dave. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:30Z-
dc.date.available2020-05-17T08:28:30Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484234860 ;en_US
dc.identifier.isbn9781484234853 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1404-
dc.descriptionQA76en_US
dc.descriptionPrinted edition: ; 9781484234853. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractGet 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. ;en_US
dc.description.statementofresponsibilityby A.J. Henley, Dave Wolf.en_US
dc.description.tableofcontents1. How to Use This Book -- 2. Getting Data into and out of Python -- 3. Preparing Data is Half the Battle -- 4. Finding the Meaning -- 5. Visualizing Data -- 6. Practice Problems. ;en_US
dc.format.extentIX, 97 p. 15 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484234853.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectBig data. ;en_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectBig Data. ;en_US
dc.subjectBig Data/Analytics. ;en_US
dc.titleLearn Data Analysis with Pythonen_US
dc.title.alternativeLessons in Coding /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484234853.pdf1.76 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHenley, A.J. ;en_US
dc.contributor.authorWolf, Dave. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:28:30Z-
dc.date.available2020-05-17T08:28:30Z-
dc.date.issued2018en_US
dc.identifier.isbn9781484234860 ;en_US
dc.identifier.isbn9781484234853 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1404-
dc.descriptionQA76en_US
dc.descriptionPrinted edition: ; 9781484234853. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractGet 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. ;en_US
dc.description.statementofresponsibilityby A.J. Henley, Dave Wolf.en_US
dc.description.tableofcontents1. How to Use This Book -- 2. Getting Data into and out of Python -- 3. Preparing Data is Half the Battle -- 4. Finding the Meaning -- 5. Visualizing Data -- 6. Practice Problems. ;en_US
dc.format.extentIX, 97 p. 15 illus. in color. ; online resource. ;en_US
dc.publisherApress :en_US
dc.publisherImprint: Apress,en_US
dc.relation.haspart9781484234853.pdfen_US
dc.subjectComputer Scienceen_US
dc.subjectBig data. ;en_US
dc.subjectData Miningen_US
dc.subjectComputer Scienceen_US
dc.subjectPython. ;en_US
dc.subjectData Mining and Knowledge Discoveryen_US
dc.subjectBig Data. ;en_US
dc.subjectBig Data/Analytics. ;en_US
dc.titleLearn Data Analysis with Pythonen_US
dc.title.alternativeLessons in Coding /en_US
dc.typeBooken_US
dc.publisher.placeBerkeley, CA :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9781484234853.pdf1.76 MBAdobe PDFThumbnail
Preview File