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Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
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Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
Matplotlib 3.0 Cookbook provides over 150 recipes for developing highly detailed visualizations using Python 3.7.
Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
Item #: 20230804

Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python

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Item #: 20230804

BHD 27

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Matplotlib 3.0 Cookbook provides over 150 recipes for developing highly detailed visualizations using Python 3.7.
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What Stands Out

Diverse Recipes
Offers over 150 diverse recipes, catering to a wide range of visualization needs, from basic graphs to complex interactive plots, ensuring users can find solutions for their specific data representation challenges.
Interactive Visualizations
Focuses on creating highly detailed interactive visualizations, enhancing user engagement and providing deeper insights into data, unlike standard static plotting libraries, making data analysis more intuitive.
Python Integration
Seamlessly integrates with Python, allowing users to leverage existing programming skills, enabling faster learning curves and consistent adaptation in various data science workflows, enhancing overall productivity.

Product Details

Explore over 150 recipes in the Matplotlib 3.0 Cookbook to create interactive visualizations using Python. Buy now at Ubuy, a Bahrain.
Publisher Packt Publishing
Publication date October 23, 2018
Language English
Print length 676 pages
ISBN-10 1789135710
ISBN-13 978-1789135718
Item Weight 2.52 pounds (1.14 kg)
Dimensions 7.5 x 1.53 x 9.25 inches (19.1 x 3.9 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Perfect for data scientists looking to create complex visualizations to analyze and interpret data effectively.

  • Python Developers

    Python developers interested in enhancing their skills in data visualization and building interactive applications will benefit greatly.

  • Educators and Trainers

    Ideal for educators teaching data visualization concepts, providing practical recipes to demonstrate with students.

Not Suitable For
  • Beginner Programmers

    Not suitable for beginners without prior knowledge of Python, as it assumes familiarity with programming concepts.

Product Description

Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python

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Product Buying Guide

The Matplotlib 3.0 Cookbook is a comprehensive guide for data analysts, data scientists, and Python developers looking to create highly detailed interactive visualizations using Python. It provides over 150 recipes to master Matplotlib for data visualization and offers quick solutions for a wide range of visualizations. Whether you are a beginner or an advanced user, this cookbook will help you explore and utilize the full potential of Matplotlib to gain quality insights from your data.

Product Specifications

  • Title: Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
  • Python Version: 3.7
  • Number of Recipes: Over 150
  • Toolkit Compatibility: axisartist, axes_grid1, Cartopy, Seaborn
  • Format: Paperback

Key Features

  • Master Matplotlib for data visualization
  • Customize basic plots to make and deploy figures in cloud environments
  • Develop various data visualizations from simple bar charts to advanced 3D plots
  • Create professional dashboards with a wide variety of graphs and sophisticated grid layouts in 2D and 3D
  • Annotate and add rich text to the plots for creating a business storyline
  • Save figures and animations in various formats for downstream deployment
  • Extend the functionality with various internal and third-party toolkits

Usage Scenarios

  • Developing visualizations for business intelligence, data science, and engineering disciplines
  • Creating professional dashboards with a variety of graphs
  • Annotating and adding rich text to plots for business storytelling
  • Saving figures and animations in various formats for deployment
  • Extending functionality with internal and third-party toolkits

Usage Scenarios

While several other books provide guidance on Matplotlib, the Matplotlib 3.0 Cookbook stands out due to its extensive library of customizable plots, over 150 recipes, and hands-on approach. The book's focus on providing quick solutions for a multitude of visualizations and its compatibility with various toolkits like axisartist, axes_grid1, Cartopy, and Seaborn sets it apart from its competitors.

Some User Review

  • The cookbook offers practical and quick solutions for creating visualizations, making it ideal for professionals with time constraints.
  • The hands-on approach and the wide range of recipes make it easy to apply the concepts to real-world data visualization tasks.
  • The clear and concise examples provided in the cookbook help in understanding and leveraging the full potential of Matplotlib.
  • Users appreciate the in-depth coverage of different visualization scenarios, from basic to advanced, making it suitable for both beginners and experienced users.

Competitors

  • The Matplotlib 3.0 Cookbook is competitively priced compared to other similar books on data visualization and Matplotlib. It offers excellent value considering the extensive library of recipes, toolkit compatibility, and in-depth coverage of visualization techniques.
  • Various reputable vendors offer the book at competitive prices, and it is advisable to compare prices before making a purchase. Additionally, some vendors may offer digital versions or bundled promotions.

Buying Considerations

  • Consider your current proficiency in Matplotlib and data visualization to evaluate if the book matches your skill level.
  • Assess your specific needs for creating visualizations and verify if the cookbook addresses those requirements.
  • Check for any additional digital resources or updates that may be offered with the book by certain vendors.
  • Compare prices from different vendors to ensure that you get the best deal while purchasing the cookbook.

Conclusion

The Matplotlib 3.0 Cookbook is a valuable resource for anyone looking to enhance their data visualization skills with Python. Its extensive collection of recipes, toolkit compatibility, and practical approach make it a go-to guide for mastering Matplotlib and creating interactive visualizations. Whether you are a data analyst, data scientist, or Python developer, this cookbook offers comprehensive insights and solutions to cater to a variety of visualization needs.

View Less

The Matplotlib 3.0 Cookbook is a comprehensive guide for data analysts, data scientists, and Python developers looking to create highly detailed interactive visualizations using Python. It provides over 150 recipes to master Matplotlib for data visualization and offers quick solutions for a wide range of visualizations. Whether you are a beginner or an advanced user, this cookbook will help you explore and utilize the full potential of Matplotlib to gain quality insights from your data. Continue Reading

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  • Question: Is Matplotlib 3.0 Cookbook: Over 150 recipes to create Available to Shop Online in Bahrain?

    Answer: Yes, at Ubuy Bahrain this product is available for you to shop at a reasonable price. The Matplotlib 3.0 Cookbook: Over 150 recipes to create is not available locally but you can trust us with our express shipping services.
  • Question: How Long Does It Take to Get Product After Placing the Order?

    Answer: The delivery time of your ordered product varies as per what you've ordered and the shipping method that you've chosen. The estimated delivery time is mentioned during the checkout process, so be carefree while shopping.

Data Modeling & Design Editorial Review

The Matplotlib 3.0 Cookbook provides a comprehensive guide on how to use the Matplotlib library, even for beginners. It also includes an introduction to the Seaborn library. The book progresses gradually from simple plotting to more complex features of the library. The availability of example codes for all the examples is useful for learning, experimenting, and understanding the concepts. However, a basic knowledge of Python is required to comprehend the explanations. One complaint is that the Kindle version doesn't come with access to downloadable code, which can be frustrating for users. It was also noted that the book is more of a cookbook and does not provide useful information on the Matplotlib modules and the syntax of each command.

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Pros

  • Thorough survey of the Matplotlib library
  • Comprehensive guide for beginners
  • Full code for all examples available for download
  • Useful introduction to the Seaborn library.

Cons

  • Basic knowledge of Python required

Product Price History

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Features & Benefits

  • Master Matplotlib to develop various data visualizations
  • Create professional dashboards with a wide variety of 2D and 3D graphs
  • Save and deploy figures and animations in different formats
  • Learn how to use toolkits to extend the base functionality of Matplotlib
  • Suitable for data analysts, data scientists and Python developers looking for quick visualization recipes
  • Interactive plots can be developed using animations and widgets.

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