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Python: Data Analytics and Visualization

You're reading from   Python: Data Analytics and Visualization Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python

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Product type Course
Published in Mar 2017
Publisher Packt
ISBN-13 9781788290098
Length 866 pages
Edition 1st Edition
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Authors (4):
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Martin Czygan Martin Czygan
Author Profile Icon Martin Czygan
Martin Czygan
Ashish Kumar Ashish Kumar
Author Profile Icon Ashish Kumar
Ashish Kumar
Kirthi Raman Kirthi Raman
Author Profile Icon Kirthi Raman
Kirthi Raman
Phuong Vo.T.H Phuong Vo.T.H
Author Profile Icon Phuong Vo.T.H
Phuong Vo.T.H
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Toc

Index

A

  • advanced Pandas use cases
    • for data analysis / Advanced uses of Pandas for data analysis
    • hierarchical indexing / Hierarchical indexing
    • panel data / The Panel data
  • algorithms
    • best practices / Best practices for algorithms
  • Anaconda
    • about / Anaconda
  • anaconda
    • packages, installed / Packages installed with Anaconda
  • Anaconda distribution of Spyder from Continuum Analytics / Types of Python IDE
  • Anaconda from Continuum Analytics / Anaconda from Continuum Analytics
  • analytics
    • about / Data analysis and insight
  • animation / Animation
  • annotate method
    • about / Legends and annotations
  • annotations
    • about / Legends and annotations
  • ANOVA / Best practices for statistics
  • Anscombe's quartet
    • URL / Where does visualization fit in?
  • applications and examples, predictive modelling
    • about / Applications and examples of predictive modelling
    • People also viewed feature, LinkedIn / LinkedIn's ...
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