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Python Data Visualization with Matplotlib 2.x

You're reading from Python Data Visualization with Matplotlib 2.x Design effective charts and info graphics with Matplotlib 2.x

Product type Video

Published in Oct 2017

Publisher Packt

ISBN-13 9781788839754

Length 4hrs 12mins

Edition 1st Edition

Languages

Python

Tools

Matplotlib

Concepts

Data Visualization

Authors (3):

Aldrin Yim

Allen Yu

Claire Chung

View More author details

Table of Contents (8) Chapters

1. Hello Plotting World! FREE CHAPTER

2. Figure Aesthetics

3. Figure Layout and Annotations

4. Visualizing Online Data

5. Visualizing Multivariate Data

6. Adding Interactivity and Animating Plots

7. A Practical Guide to Scientific Plotting

8. Exploratory Data Analysis Analytics and Infographics

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Python Data Visualization with Matplotlib 2.x [Video]

Published in: Oct 2017

Publisher: Packt

ISBN-13: 9781788839754

© 2017 Packt Publishing Limited All Rights Reserved

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Authors (3)

Allen Yu

Allen Yu

Allen Yu, PhD, is a Chevening Scholar, 2017-18, and an MSC student in computer science at the University of Oxford. He holds a PhD degree in Biochemistry from the Chinese University of Hong Kong, and he has used Python and Matplotlib extensively during his 10 years of bioinformatics experience. Apart from academic research, Allen is the co-founder of Codex Genetics Limited, which aims to provide a personalized medicine service in Asia through the use of the latest genomics technology.

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Aldrin Yim

Aldrin Yim

Aldrin Yim is a PhD candidate and Markey Scholar in the Computation and System Biology program at Washington University, School of Medicine. His research focuses on applying big data analytics and machine learning approaches in studying neurological diseases and cancer. He is also the founding CEO of Codex Genetics Limited, which provides precision medicine solutions to patients and hospitals in Asia.

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Claire Chung

Claire Chung

Claire Chung is pursuing her PhD degree as a Bioinformatician at the Chinese University of Hong Kong. She enjoys using Python daily for work and lifehack. While passionate in science, her challenge-loving character motivates her to go beyond data analytics. She has participated in web development projects, as well as developed skills in graphic design and multilingual translation. She led the Campus Network Support Team in college, and shared her experience in data visualization in PyCon HK 2017.

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