Learn Data Analysis with Python: Lessons in Coding - Tapa blanda

Henley, A.J. J.; Wolf, Dave

 
9781484234853: Learn Data Analysis with Python: Lessons in Coding
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ISBN 10: 1484234855 ISBN 13: 9781484234853
Editorial: Apress, 2018

Sinopsis

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. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it.  

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 aren't 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.

What You Will Learn
  • 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

Who This Book Is For 

Those who want to learn data analysis using Python. Some experience with Python is recommended but not required, as is some prior experience with data analysis or data science.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

AJ Henley is teaching courses on data analysis using Python, Java and more.  He is a technology educator with over 20 years experience as a developer, designer and systems engineer. He is an instructor at Howard University and Montgomery College.
Dave Wolf is a certified Project Management Professional (PMP) with over twenty years' experience as a software developer, analyst and trainer.  His latest projects include collaboratively developing training materials and programming bootcamps for Java and Python.

De la contraportada

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. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it.  

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 aren’t 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 arefinished.

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1484234855
ISBN 13 
9781484234853
Encuadernación
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Número de páginas
112
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3,69115 Heidelberg, Germany
Heidelberg
69115
Alemania

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ISBN 10:  1484246268 ISBN 13:  9781484246269
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