Home Big-data-and-business-intelligence Mastering Matplotlib 3 [Video]

Mastering Matplotlib 3 [Video]

By Amaya Nayak
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50+ new titles added every month on new and emerging tech
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Download this book in EPUB and PDF formats
Access this title in our online reader
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Stream this video
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Download a zip folder consisting of audio files (in MP3 Format) along with supplementary PDF
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Flashcards, Mock exams, Exam Tips, Practice Questions
Access these resources with our interactive certification platform
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About this video

You already know the basics of Data Visualization with Matplotlib but this is not enough. You want to be able to create advanced-level Data Visualizations that showcase insights from your datasets.

This course will help you delve into the latest version of Matplotlib, 3, in a step-by-step and engaging manner. Through this course, you will master advanced Matplotlib concepts and will be able to tackle any Data Visualization project with ease and with increasing complexity.

By the end of the course, you will have honed your expertise and mastered data visualization using the full potential of Matplotlib 3.

All the code and supporting files for this course are available at https://github.com/PacktPublishing/-Mastering-Matplotlib-3

Style and Approach

This course adopts a practical and hands-on approach, with no theory. Since you already know the basics of Data Visualization in Python with Matplotlib, we skip setup issues and go straight to practical ways to visualize data using specific Matplotlib functionalities. All examples use real-world datasets from lots of different domains.

Publication date:
April 2019
Publisher
Packt
Duration
1 hour 13 minutes
ISBN
9781789958928

About the Author
  • Amaya Nayak

    Amaya Nayak is a Data Science Domain consultant with BignumWorks Software LLP. She has more than 10 years' experience in the fields of Python programming, data analysis, and visualization using Python and JavaScript, using tools such as D3.js, Matplotlib, ggplot, and more. With over 5 years' experience as a data scientist, she works on various data analysis tasks such as statistical data, data munging, data extraction, data visualization, and data validation.

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Latest Reviews (1 reviews total)
this a python library i need to master given its popularity
Mastering Matplotlib 3 [Video]
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