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Matplotlib 3.0 Cookbook: Over 150 recipes to create highly detailed interactive visualizations using Python
86% of respondents would recommend this to a friend
AED 249
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Product Details
| 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?
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Data Scientists
Perfect for data scientists looking to create complex visualizations to analyze and interpret data effectively.
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Python Developers
Python developers interested in enhancing their skills in data visualization and building interactive applications will benefit greatly.
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Educators and Trainers
Ideal for educators teaching data visualization concepts, providing practical recipes to demonstrate with students.
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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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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
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