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Autor(en): 
  • Dave Wolf
  • A.J. Henley
  • Learn Data Analysis with Python: Lessons in Coding 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2018  
    Genre:  EDV / Informatik 
     
    BUSINESS & ECONOMICS / Industries / Computers & Information Technology / Computers - Languages / Programming / COMPUTERS / Databases / Data Mining / COMPUTERS / Databases / General / COMPUTERS / Programming Languages / Python / Data Mining / MATHEMATICS / Probability & Statistics / General / Programmier- und Skriptsprachen, allgemein
    ISBN:  9781484234853 
    EAN-Code: 
    9781484234853 
    Verlag:  Apress 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 162 mm / D 7 mm 
    Gewicht:  200 gr 
    Seiten:  97 
    Illustration:  15 Illustrations, color 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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

      



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