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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

Product type Course

Published in Mar 2017

Publisher Packt

ISBN-13 9781788290098

Length 866 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Authors (4):

Martin Czygan

Phuong Vo.T.H

Ashish Kumar

Kirthi Raman

View More author details

Table of Contents (6) Chapters

Preface

1. Module 1 FREE CHAPTER

2. Module 2

3. Module 3

Bibliography

Index

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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Tech Concepts

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Programming languages

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Authors (4)

Martin Czygan

Martin Czygan

Martin Czygan studied German literature and computer science in Leipzig, Germany. He has been working as a software engineer for more than 10 years. For the past eight years, he has been diving into Python, and is still enjoying it. In recent years, he has been helping clients to build data processing pipelines and search and analytics systems.

See other products by Martin Czygan

Phuong Vo.T.H

Phuong Vo.T.H

Phuong Vo.T.H has a MSc degree in computer science, which is related to machine learning. After graduation, she continued to work in some companies as a data scientist. She has experience in analyzing users' behavior and building recommendation systems based on users' web histories. She loves to read machine learning and mathematics algorithm books, as well as data analysis articles.

See other products by Phuong Vo.T.H

Ashish Kumar

Ashish Kumar

Ashish Kumar is a seasoned data science professional, a publisher author and a thought leader in the field of data science and machine learning. An IIT Madras graduate and a Young India Fellow, he has around 7 years of experience in implementing and deploying data science and machine learning solutions for challenging industry problems in both hands-on and leadership roles. Natural Language Procession, IoT Analytics, R Shiny product development, Ensemble ML methods etc. are his core areas of expertise. He is fluent in Python and R and teaches a popular ML course at Simplilearn. When not crunching data, Ashish sneaks off to the next hip beach around and enjoys the company of his Kindle. He also trains and mentors data science aspirants and fledgling start-ups.

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Kirthi Raman

Kirthi Raman

Kirthi Raman is currently working as a lead data engineer with Neustar Inc, based

See other products by Kirthi Raman

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