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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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Chapter 4. Numerical Computing and Interactive Plotting

The field of high-performance numerical computing lies at the crossroads of a number of disciplines and skill sets. In order to be successful at using high-performance computing today, it requires knowledge and skills of programming, data science, and applied mathematics. In addition to these, efficient implementation of the computational problems requires some understanding of processing and storage devices.

The role of computing in science has evolved to a different level in recent years. Programming languages (such as R and MATLAB) were common in academic research and scientific computing. Today, Python plays a big role in scientific computing for a good reason. The Python community has put together many efficient tools and packages that is being used not only by the research community, but also successful commercial organizations such as Yahoo, Google, Facebook, and Amazon.

There are two popular packages that are widely...

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