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Matplotlib for Python Developers. Effective techniques for data visualization with Python - Second Edition

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Matplotlib for Python Developers. Effective techniques for data visualization with Python - Second Edition Aldrin Yim, Claire Chung, Allen Yu - okladka książki

Matplotlib for Python Developers. Effective techniques for data visualization with Python - Second Edition Aldrin Yim, Claire Chung, Allen Yu - okladka książki

Matplotlib for Python Developers. Effective techniques for data visualization with Python - Second Edition Aldrin Yim, Claire Chung, Allen Yu - audiobook MP3

Matplotlib for Python Developers. Effective techniques for data visualization with Python - Second Edition Aldrin Yim, Claire Chung, Allen Yu - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
300
Dostępne formaty:
     PDF
     ePub
     Mobi
Python is a general-purpose programming language increasingly being used for data analysis and visualization. Matplotlib is a popular data visualization package in Python used to design effective plots and graphs. This is a practical, hands-on resource to help you visualize data with Python using the Matplotlib library.
Matplotlib for Python Developers, Second Edition shows you how to create attractive graphs, charts, and plots using Matplotlib. You will also get a quick introduction to third-party packages, Seaborn, Pandas, Basemap, and Geopandas, and learn how to use them with Matplotlib. After that, you’ll embed and customize your plots in third-party tools such as GTK+3, Qt 5, and wxWidgets. You’ll also be able to tweak the look and feel of your visualization with the help of practical examples provided in this book. Further on, you’ll explore Matplotlib 2.1.x on the web, from a cloud-based platform using third-party packages such as Django. Finally, you will integrate interactive, real-time visualization techniques into your current workflow with the help of practical real-world examples.
By the end of this book, you’ll be thoroughly comfortable with using the popular Python data visualization library Matplotlib 2.1.x and leveraging its power to build attractive, insightful, and powerful visualizations.

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O autorach książki

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.
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.
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.

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